# LiveDataLink MCP server

One key for tools across 59 US public-data domains. Resale-safe government and open data.

## Links
- Registry page: https://www.getdrio.com/mcp/io-github-blackboxfoundry-livedatalink
- Repository: https://github.com/blackboxfoundry/livedatalink
- Website: https://livedatalink.ai

## Install
- Endpoint: https://livedatalink.ai/mcp
- Auth: Auth required by registry metadata

## Setup notes
- Remote header: Authorization (secret)
- The upstream registry signals required auth or secrets.
- Remote endpoint: https://livedatalink.ai/mcp
- Header: Authorization

## Tools
- property_lookup - Look up real estate property data by street address or account number. Returns property owner name, assessed value, market value, land value, improvement value, year built, square footage, lot size, acreage, exemptions (homestead, over 65, disabled veteran), and legal description. Use this for questions like "who owns this house?", "how much is this property worth?", "what's the tax value of this address?", "what are the property details?", or any real estate lookup. Coverage note: currently demo dataset for Montgomery County, TX (sample properties only). Full live coverage of all Texas counties via ATTOM/Estated is available as a paid upgrade. Email support@livedatalink.ai to enable real CAD data on your account. Endpoint: https://livedatalink.ai/mcp
- property_search_owner - Search for real estate properties by owner name. Find all properties owned by a person, family, trust, LLC, or company. Supports partial name matching. Use this for questions like "what properties does John Smith own?", "find all land owned by this company", "who owns property in this area?", or any property ownership search. Returns addresses, values, property types, and account numbers for all matching properties. Endpoint: https://livedatalink.ai/mcp
- property_search_area - Search for real estate properties in a geographic area. Filter by zip code, subdivision, neighborhood, or street name. Use this for questions like "what homes are in this zip code?", "show me properties in this neighborhood", "find houses on Main Street", "what's the average home value in this area?", or any area-based property search. Returns a list of properties with addresses, owners, values, and property types. Endpoint: https://livedatalink.ai/mcp
- property_value_history - Get property value history and tax assessment trends over multiple years. Shows year-by-year market value, land value, improvement value, and percentage change. Use this for questions like "how has this property's value changed?", "what's the appreciation rate?", "show me the tax assessment history", "has this home gone up in value?", or any property valuation trend question. Requires account number (use property_lookup first to find it). Endpoint: https://livedatalink.ai/mcp
- fmcsa_carrier_lookup - Look up a trucking company, freight carrier, or motor carrier by DOT number or MC number. Returns company name, address, phone, fleet size, number of drivers, safety rating, operating authority, insurance status (BIPD, cargo, bond), crash history, inspection rates, and out-of-service percentages. Use this for questions like 'is this carrier safe?', 'look up this trucking company', 'check this DOT number', 'verify this carrier', 'what's their safety rating?', or any freight carrier lookup. Covers all US carriers registered with FMCSA. Endpoint: https://livedatalink.ai/mcp
- fmcsa_carrier_search - Search for trucking companies, freight carriers, or motor carriers by company name. Find any carrier's DOT number, MC number, location, fleet size, and operating status. Supports partial name matching. Use this for questions like 'find this trucking company', 'what's the DOT number for Werner?', 'search for freight carriers in Texas', 'look up this logistics company', or any carrier name search. Returns up to 50 matching carriers from the FMCSA national database. Endpoint: https://livedatalink.ai/mcp
- fmcsa_safety_scores - Get safety information for a trucking company by DOT number. Returns either CSA BASIC percentile scores (where FMCSA publishes them, rare per FAST Act 2015 restrictions) OR a public safety summary built from crash counts, fatal/injury crashes, driver/vehicle/hazmat out-of-service rates, and inspection volumes (always available). Use this for questions like 'is this carrier safe?', 'what's their safety record?', 'how many crashes?', 'should I hire this carrier?', 'check their inspection history', or any trucking safety evaluation. Higher BASIC percentiles = worse record. For OOS rates, lower is better; national averages provided for comparison. Endpoint: https://livedatalink.ai/mcp
- fmcsa_carrier_authority - Check if a trucking company is legally authorized to operate and has valid insurance. Returns operating authority status (common, contract, broker - active/inactive/revoked), BIPD insurance, cargo insurance, bond/surety status, and whether they're allowed to haul freight. Use this for questions like 'can this carrier legally operate?', 'do they have insurance?', 'is this broker licensed?', 'verify carrier authority', 'check trucking company credentials', 'is this freight company legit?', or any carrier compliance check. Endpoint: https://livedatalink.ai/mcp
- fmcsa_carrier_compare - Compare 2 to 5 trucking companies side by side on safety, fleet size, insurance, and authority. Returns a comparison table: fleet size, driver count, safety rating, crash history, BASIC safety scores, authority status, insurance, and out-of-service rates. Use this for questions like 'which carrier is safer?', 'compare these trucking companies', 'which freight company should I use?', 'evaluate these carriers against each other', 'help me pick between these haulers', or any carrier vetting decision. Endpoint: https://livedatalink.ai/mcp
- stock_quote - Get a real-time stock price and market data. Returns current price, daily change, volume, market cap, P/E ratio, dividend yield, 52-week high/low, open, and previous close. Use this for "what's the stock price of X?", "how is AAPL doing?", "check the market", "what's Apple trading at?", or any stock/equity price question. Endpoint: https://livedatalink.ai/mcp
- stock_quote_batch - Get real-time stock prices for multiple stocks at once (up to 10). Returns a comparison table with price, daily change, volume, market cap, and P/E. Use this for "show me FAANG stocks", "compare tech stock prices", "how are energy stocks doing?", or any multi-stock price check. Endpoint: https://livedatalink.ai/mcp
- options_chain - Get the options chain for a stock - calls and puts with strike prices, bid/ask spread, volume, open interest, implied volatility, and available expirations. Use this for "show me AAPL options", "what are the puts on Tesla?", "options expiring this Friday", "what's the implied volatility?", or any options trading question. Endpoint: https://livedatalink.ai/mcp
- stock_history - Get historical stock price data - open, high, low, close, and volume (OHLCV). Supports intraday (1-minute) through multi-year (5-year, max) ranges. Use this for "how has AAPL performed this year?", "show me the price chart for Tesla", "what was the stock price last month?", "historical performance", or any stock price history question. Endpoint: https://livedatalink.ai/mcp
- company_info - Get company profile and financial fundamentals. Returns sector, industry, employee count, business description, revenue, gross profit, EBITDA, profit margins, EPS, P/E ratio, forward P/E, dividend yield, beta, market cap, and shares outstanding. Use this for "tell me about Apple", "what does this company do?", "company financials", "what sector is Netflix in?", "how many employees does Tesla have?", or any company research question. Endpoint: https://livedatalink.ai/mcp
- stock_compare - Compare 2 to 5 stocks side by side. Returns price, daily change, market cap, P/E ratio, dividend yield, volume, 52-week range, sector, revenue, profit margin, EPS, and beta. Use this for "compare Apple and Microsoft", "which is a better investment, NVDA or AMD?", "tech stock comparison", or any stock-vs-stock analysis. Endpoint: https://livedatalink.ai/mcp
- weather_current - Get current weather conditions for any location worldwide. Returns temperature, feels-like, humidity, wind speed and direction, cloud cover, pressure, precipitation, UV index, and visibility. Use this for 'what's the weather?', 'is it raining in Houston?', 'how hot is it outside?', 'what's the temperature in New York?', 'do I need a jacket?', or any current weather question. Works for any city, zip code, or place name globally. Endpoint: https://livedatalink.ai/mcp
- weather_forecast - Get a multi-day weather forecast for any location worldwide. Returns daily high/low temperatures, conditions, precipitation probability, wind speed, UV index, sunrise and sunset. Use this for 'what's the forecast this week?', 'will it rain tomorrow?', 'weekend weather', 'should I plan outdoor activities?', '7-day forecast for Dallas', or any future weather question. Supports 1-16 day forecasts. Endpoint: https://livedatalink.ai/mcp
- air_quality - Get current air quality data for any location. Returns US AQI index, PM2.5, PM10, ozone, NO2, SO2, and CO levels with health category rating. Use this for 'what's the air quality?', 'is it safe to go outside?', 'pollution levels', 'AQI in Los Angeles', 'should I wear a mask?', 'is there smoke in the air?', or any air quality or pollution question. Endpoint: https://livedatalink.ai/mcp
- crypto_price - Get the current price and market data for any cryptocurrency. Returns price in USD, 24-hour change, market cap, volume, and all-time high. Use this for 'what's the price of bitcoin?', 'how much is ethereum?', 'solana price', 'check dogecoin', 'BTC price', 'ETH value', 'crypto price check', or any question about a specific coin's current value. Supports all major cryptocurrencies: bitcoin, ethereum, solana, cardano, ripple/XRP, dogecoin, polkadot, avalanche, chainlink, polygon/MATIC, litecoin, uniswap, stellar, cosmos, NEAR, arbitrum, optimism, aptos, sui, toncoin, shiba inu, pepe, BNB, tether/USDT, USDC, and thousands more via CoinGecko ID. Endpoint: https://livedatalink.ai/mcp
- crypto_compare - Compare 2-5 cryptocurrencies side by side. Shows price, 24-hour change, market cap, volume, and rank for each coin in a comparison table. Use this for 'compare bitcoin and ethereum', 'BTC vs ETH vs SOL', 'which is bigger bitcoin or ethereum?', 'compare top cryptos', 'crypto head to head', or any multi-coin comparison question. Endpoint: https://livedatalink.ai/mcp
- crypto_trending - See what's trending and hot in cryptocurrency right now. Returns the top trending coins on CoinGecko based on search activity and interest. Use this for 'what's trending in crypto?', 'hot cryptocurrencies', 'trending coins', 'what crypto is popular right now?', 'crypto buzz', 'what tokens are people looking at?', or any question about current crypto market interest and momentum. Endpoint: https://livedatalink.ai/mcp
- crypto_info - Get a detailed profile for any cryptocurrency including description, market data, supply info, all-time high/low, genesis date, blockchain, categories, and website links. Use this for 'tell me about bitcoin', 'what is ethereum?', 'solana info', 'describe cardano', 'crypto profile', 'coin details', or any question asking for background information about a specific cryptocurrency project. Endpoint: https://livedatalink.ai/mcp
- package_track - Track a package or shipment by tracking number. Auto-detects carrier (USPS, UPS, FedEx, DHL, Amazon). Returns delivery status, current location, estimated delivery date, and tracking history. Use this for 'where is my package?', 'track this shipment', 'when will my order arrive?', 'check delivery status', 'is my package delivered?', or any package tracking question. Just paste the tracking number - the carrier is detected automatically. Endpoint: https://livedatalink.ai/mcp
- local_search - Find local businesses, restaurants, services, and places near any location. Returns name, type, address, phone, website, hours, cuisine, and distance. Use this for 'find restaurants near me', 'coffee shops in downtown Houston', 'gas stations near 60601', 'best pizza in Chicago', 'pharmacies nearby', 'hotels in Austin', 'find a mechanic', 'gyms near me', or any local business or place discovery question. Supports: restaurants, cafes, bars, gas stations, pharmacies, hospitals, doctors, dentists, gyms, hotels, grocery stores, banks, schools, parks, libraries, auto repair, salons, and more. Endpoint: https://livedatalink.ai/mcp
- vin_decode - Decode a Vehicle Identification Number (VIN) to get full vehicle specifications. Returns year, make, model, trim, body style, engine specs (cylinders, displacement, HP), drivetrain, transmission, fuel type, doors, manufacturer, and assembly plant location. Use this for 'decode this VIN', 'what car is this VIN?', 'look up a VIN number', 'what are the specs on this vehicle?', 'identify this car', or any VIN lookup. Works for all US vehicles - cars, trucks, SUVs, motorcycles, trailers. Endpoint: https://livedatalink.ai/mcp
- vehicle_recalls - Check for safety recalls on a vehicle by year, make, and model. Returns all NHTSA recall campaigns including affected component, description, safety risk, and recommended remedy. Use this for 'are there recalls on my car?', 'check recalls for 2020 Toyota Camry', 'is this vehicle safe?', 'any open recalls?', or any vehicle recall check. Covers all US vehicles from all manufacturers. Endpoint: https://livedatalink.ai/mcp
- sanctions_screen_entity - Screen a single name or entity against the four major sanctions / denied-party lists (OFAC SDN, EU consolidated, UN consolidated, BIS DPL). Returns matches with confidence scores. Free tier: 50 screens/month; standard rate $0.05/screen. Endpoint: https://livedatalink.ai/mcp
- sanctions_screen_batch - Screen up to 50 names in a single call. Returns one result block per input, in input order. Each name counts as one screen for billing purposes. Endpoint: https://livedatalink.ai/mcp
- sanctions_get_changes - Return entities added or updated since a given ISO date for a chosen source list. The four official lists do not all expose a public delta feed, so this filters the cached snapshot by listedOn. Endpoint: https://livedatalink.ai/mcp
- sanctions_screen_address - Match a physical address against listed addresses. Useful for KYC / supplier vetting when the counterparty's name is generic but the address is distinctive. Endpoint: https://livedatalink.ai/mcp
- sanctions_get_entity - Fetch a full record by entity ID (e.g. "OFAC_SDN-44705"). The ID is self-describing and includes the source; obtain it from a screening result. Endpoint: https://livedatalink.ai/mcp
- sanctions_search_alias - Search aliases / AKAs across selected lists. Distinct from screen_entity in that only the alias fields are matched, which is helpful when the primary listed name differs sharply from the popular spelling. Endpoint: https://livedatalink.ai/mcp
- sanctions_status_summary - Counts and last-update timestamps for all four lists in the cache. No screening is performed; this call is free. Endpoint: https://livedatalink.ai/mcp
- disaster_declarations - Recent FEMA disaster declarations filtered by state, county, incident type, or date range. Returns disaster number, title, dates, and incident category. Endpoint: https://livedatalink.ai/mcp
- nfip_flood_claims - National Flood Insurance Program claim history aggregated by zip, county, or state. Useful for insurance brokers and homebuyers assessing prior loss patterns. Endpoint: https://livedatalink.ai/mcp
- earthquake_recent - Recent earthquakes from USGS. Filter by region (lat/lon + radius), state name, magnitude threshold, or time window. Endpoint: https://livedatalink.ai/mcp
- nws_active_alerts - Currently-active National Weather Service alerts (tornado, flood, severe thunderstorm, winter, heat, fire) for a point, state, or NWS zone. Endpoint: https://livedatalink.ai/mcp
- flood_zone_lookup - FEMA flood zone designation for an address or coordinate. Returns the zone code, plain-English risk, BFE if applicable, FIRM panel reference, and whether NFIP insurance is mandated for federally-backed mortgages. Endpoint: https://livedatalink.ai/mcp
- hurricane_tracker - Currently-active hurricanes and tropical systems from NOAA NHC, with category, wind/pressure, current position, movement, and forecast cone link. Endpoint: https://livedatalink.ai/mcp
- disaster_history_summary - Multi-year FEMA disaster summary for a location. Buckets declarations by incident type and year so insurance brokers and realtors can assess cumulative risk on the same address used in property_lookup. Endpoint: https://livedatalink.ai/mcp
- court_case_search - Search federal and state court opinions by keyword, court, judge, party name, or date range. Returns case summaries with citations. Endpoint: https://livedatalink.ai/mcp
- court_docket_lookup - Look up a federal docket by court ID and docket number. Returns party list and recent entries from PACER/RECAP. Endpoint: https://livedatalink.ai/mcp
- court_opinion_search - Full-text search of court opinions. Returns opinion text snippets, authors, and citations. Endpoint: https://livedatalink.ai/mcp
- court_judge_lookup - Look up a judge profile by name or CourtListener person ID. Returns positions, education, and bench history. Endpoint: https://livedatalink.ai/mcp
- court_citation_resolver - Resolve a legal citation (e.g. '410 U.S. 113') to its CourtListener case record. Endpoint: https://livedatalink.ai/mcp
- court_oral_argument_search - Search SCOTUS and federal appellate oral argument audio. Returns audio URLs and transcript snippets. Endpoint: https://livedatalink.ai/mcp
- court_recent_filings - Recent docket entries filed in a specific court, ordered newest first. Endpoint: https://livedatalink.ai/mcp
- cve_lookup - Full detail for a single CVE by ID (format CVE-YYYY-NNNN). Returns CVSS scores, weakness IDs, references, and affected products from the NVD. Endpoint: https://livedatalink.ai/mcp
- cve_search_by_vendor - Search CVEs by vendor with optional product and date range filters. Vendor is matched against the NVD CPE namespace, e.g. 'apache', 'microsoft'. Endpoint: https://livedatalink.ai/mcp
- cve_search_by_keyword - Free-text CVE search with optional date range. Matches keyword against CVE description text in the NVD. Endpoint: https://livedatalink.ai/mcp
- cwe_lookup - MITRE CWE detail by ID (format CWE-NNN or NNN). Returns name, abstraction, status, description, and parent/child CWE relationships. Endpoint: https://livedatalink.ai/mcp
- epss_score - FIRST EPSS exploit prediction score for a CVE. Returns probability (0-1) of exploitation in the next 30 days plus the percentile rank. Endpoint: https://livedatalink.ai/mcp
- kev_status_check - Check whether a CVE is in the CISA Known Exploited Vulnerabilities catalog. Returns date added, due date, ransomware association, and required action. Endpoint: https://livedatalink.ai/mcp
- cve_recent - Recent CVEs published in the last N days (default 7, max 120). Optional vendor and severity filters (CRITICAL, HIGH, MEDIUM, LOW). Endpoint: https://livedatalink.ai/mcp
- college_search - Search US colleges and universities by name, state, control type, size, or accreditor. Returns matching institutions with location, control, predominant degree, and enrollment. Endpoint: https://livedatalink.ai/mcp
- college_metrics - Cost and outcome metrics for one school: published tuition (in-state and out-of-state), average net price, six-year graduation rate, first-year retention, median earnings ten years after entry, admission rate, and SAT/ACT ranges. Endpoint: https://livedatalink.ai/mcp
- college_demographics - Student-body demographics for one school: race/ethnicity, gender, age (under/over 25), and geographic origin (in-state, out-of-state, foreign). Endpoint: https://livedatalink.ai/mcp
- college_accreditation - Current institutional accreditation status, accreditor, and (when published by DAPIP) last action date and programmatic accreditations. Endpoint: https://livedatalink.ai/mcp
- college_compare - Side-by-side comparison of 2-5 schools across cost, outcomes, and admissions metrics. Pass UNITIDs. Endpoint: https://livedatalink.ai/mcp
- college_outcomes_by_program - Program-level outcomes (4-digit CIP code) for one school: median earnings one year after completion, median debt at completion, and award counts. Endpoint: https://livedatalink.ai/mcp
- college_trends - Multi-year trend for one school sourced from the Urban Institute Education Data Portal (IPEDS). Choose a metric (enrollment, graduation_rate, retention, cost) and a year range. Endpoint: https://livedatalink.ai/mcp
- eia_gasoline_prices - Weekly US retail gasoline prices from EIA. Filter by region (PADD1-PADD5 or national) and grade (regular, midgrade, premium, diesel, all). Useful for fuel-cost analysis, transportation logistics, and consumer price tracking. Endpoint: https://livedatalink.ai/mcp
- eia_natural_gas - US natural gas data from EIA. Series options: 'spot' (Henry Hub daily), 'futures' (NYMEX front-month daily), 'residential' (monthly retail to households), 'storage' (weekly working gas in storage). Default 'spot'. Endpoint: https://livedatalink.ai/mcp
- eia_electricity_state - Monthly state-level electricity data from EIA. Filter by state (two-letter code or 'US' for national), sector (residential / commercial / industrial / transportation / all), and metric (price / sales / revenue / customers / generation). Default: US, all sectors, price. Endpoint: https://livedatalink.ai/mcp
- eia_oil_supply - Weekly US crude oil supply data from EIA. Metrics: 'production' (US field production), 'imports' (weekly oil imports), 'stocks' (commercial crude stocks), 'refinery_inputs' (gross refinery inputs). Filter by PADD region. Default: national production. Endpoint: https://livedatalink.ai/mcp
- eia_renewable_generation - Monthly US electricity generation by source from EIA. Sources: solar, wind, hydro, nuclear, geothermal, biomass, all. Optional state filter (default national). Returns generation in megawatt-hours. Endpoint: https://livedatalink.ai/mcp
- eia_energy_consumption - Monthly US energy consumption by sector from EIA. Sectors: residential, commercial, industrial, transportation, total. Returns total energy consumed in BTU equivalents. Endpoint: https://livedatalink.ai/mcp
- eia_series_lookup - Flexible EIA series lookup. Pass any EIA series ID (e.g. 'PET.RWTC.D' for WTI crude daily, 'NG.RNGWHHD.D' for Henry Hub spot daily, 'ELEC.PRICE.US-ALL.M' for US average electricity retail price monthly). Returns time-series data for that series. Use this when no other tool covers your specific need. Endpoint: https://livedatalink.ai/mcp
- fred_series_info - Get metadata for a FRED economic data series by ID. Returns title, units, frequency, seasonal adjustment, observation range, and notes. Useful for verifying a series exists and understanding its measurement before pulling observations. Endpoint: https://livedatalink.ai/mcp
- fred_observations - Get time-series observations for a FRED series ID. Workhorse query for any economic indicator. Optional date range, units transformation (lin, chg, pch, log, etc.), and frequency aggregation (m, q, a). Endpoint: https://livedatalink.ai/mcp
- fred_search - Full-text search across FRED's 800,000+ economic series. Returns matching series IDs and titles ranked by popularity. Use when you don't know the exact series ID. Endpoint: https://livedatalink.ai/mcp
- fred_category_series - List the most popular FRED series in a category. Category IDs are numeric (e.g. 32991 = Interest Rates, 32263 = Money Stock, 9 = National Accounts). Use this to browse FRED structurally rather than via search. Endpoint: https://livedatalink.ai/mcp
- fred_quick_indicator - Quick-access wrapper for the most-queried FRED indicators by friendly name. Avoids needing to memorize FRED series IDs. Valid indicators: unemployment_rate, fed_funds, fed_funds_target, cpi, core_cpi, gdp, real_gdp, ten_year_yield, two_year_yield, thirty_year_yield, thirty_year_mortgage, m2, industrial_production, retail_sales, nonfarm_payrolls, housing_starts, case_shiller, vix, wti, brent, natural_gas_henry_hub, dollar_index, consumer_sentiment, initial_claims, pce_inflation, recession_indicator. Endpoint: https://livedatalink.ai/mcp
- fred_compare - Compare 2 to 5 FRED series side-by-side over the same date range. Returns observations for each series. Useful for ratio analysis (e.g. compare 10Y vs 2Y yield) or cross-series correlation. Endpoint: https://livedatalink.ai/mcp
- fred_releases - Browse FRED economic releases (e.g. Employment Situation, CPI, GDP). With upcoming_dates=true, returns the upcoming release calendar instead. Useful for knowing when fresh data is expected. Endpoint: https://livedatalink.ai/mcp
- edgar_company_lookup - Look up a public company's CIK (Central Index Key) by ticker symbol or company name. CIK is required for all other EDGAR tools. Returns matches ranked exact-ticker first. Endpoint: https://livedatalink.ai/mcp
- edgar_recent_filings - List recent SEC filings for a company. Filter by form type (10-K, 10-Q, 8-K, 4, DEF 14A, etc.) and start date. Use ticker or CIK as identifier. Endpoint: https://livedatalink.ai/mcp
- edgar_filing_content - Fetch the text content of a specific SEC filing. Returns the primary document (10-K, 10-Q, etc.) stripped of HTML, suitable for LLM consumption. Use edgar_recent_filings first to get the accession number. Endpoint: https://livedatalink.ai/mcp
- edgar_full_text_search - Full-text search across all SEC filings via the EDGAR EFTS index. Filter by comma-separated form types and date range. Useful for finding filings that mention specific terms. Endpoint: https://livedatalink.ai/mcp
- edgar_company_facts - Get structured XBRL financial facts for a company. Without 'concept', returns the top-level facts catalog (concepts the company has reported). With 'concept' (e.g. 'Revenues', 'Assets', 'EarningsPerShareBasic'), returns the time series of values for that concept. Endpoint: https://livedatalink.ai/mcp
- edgar_insider_transactions - List recent Form 4 insider transaction filings for a company. Returns accession numbers and filing dates; for detailed transaction data, use edgar_filing_content on each. Endpoint: https://livedatalink.ai/mcp
- edgar_filings_by_form_type - Pull all recent SEC filings of a specific form type across all companies. Useful for monitoring (e.g. 'all 8-Ks today', 'all S-1s this week'). Returns accession numbers, filers, and filing dates. Endpoint: https://livedatalink.ai/mcp
- nrel_pvwatts - Estimate solar PV system production using NREL's PVWatts v8 model. Returns annual and monthly AC energy output (kWh), solar resource (kWh/m²/day), and capacity factor. Used by solar developers, homeowners, and ESG analysts to size and estimate solar arrays. Endpoint: https://livedatalink.ai/mcp
- nrel_solar_resource - Annual and monthly solar resource data (Direct Normal Irradiance, Global Horizontal Irradiance, Latitude-Tilt Irradiance) for a location. Useful for site evaluation before sizing a solar system. Endpoint: https://livedatalink.ai/mcp
- nrel_utility_rates - Average residential, commercial, and industrial electric utility rates (cents per kWh) for a location, plus the utility name. Used for ROI analysis on solar, EV charging, building electrification. Endpoint: https://livedatalink.ai/mcp
- nrel_alt_fuel_stations - Find alternative fuel stations near a location: electric (EV) charging, CNG, LNG, E85, hydrogen, propane, biodiesel. Used by route planning agents, fleet operators, and EV/clean-fuel tech. Endpoint: https://livedatalink.ai/mcp
- nrel_alt_fuel_station_detail - Detailed info for a single alternative fuel station by station ID. Get the ID from nrel_alt_fuel_stations results. Endpoint: https://livedatalink.ai/mcp
- fda_drug_lookup - Look up FDA drug label info by NDC code, brand name, or generic name. Returns indications, dosage, warnings, contraindications, mechanism, manufacturer, and DEA scheduling. Used for clinical decision support, pharmacy automation, drug-info chatbots. Endpoint: https://livedatalink.ai/mcp
- fda_drug_recalls - FDA drug enforcement actions (recalls). Filter by product name, recall classification (I=most severe, II, III), state, or date range. Useful for pharmacy compliance, supply chain monitoring, pharmacovigilance. Endpoint: https://livedatalink.ai/mcp
- fda_drug_adverse_events - FDA Adverse Event Reporting System (FAERS) reports for a specific drug. Each result describes a reported adverse reaction including patient demographics, reactions, outcome, and seriousness. Used for pharmacovigilance and post-market safety analysis. Endpoint: https://livedatalink.ai/mcp
- fda_device_recalls - FDA medical device recalls. Filter by device name or recalling manufacturer, classification (Class 1 most severe), or date range. Used for medical device supply chain monitoring and hospital biomed compliance. Endpoint: https://livedatalink.ai/mcp
- fda_device_510k - FDA 510(k) clearances for medical devices. The 510(k) pathway is how most non-high-risk devices come to market in the US. Filter by manufacturer (applicant), device name, product code, or decision date range. Used for competitive intel, device R&D scouting, M&A research. Endpoint: https://livedatalink.ai/mcp
- fda_food_recalls - FDA food enforcement actions (food recalls). Filter by product description, recall classification, state, or date range. Used for retail food safety monitoring, supply chain compliance, restaurant management. Endpoint: https://livedatalink.ai/mcp
- census_population - Get total population for a US geography (state, county, ZIP/ZCTA, city, census tract, MSA, or national). Returns total, male, female, and median age. Used for market sizing, location intelligence, demographic analysis. Endpoint: https://livedatalink.ai/mcp
- census_demographics - Race, ethnicity, and age breakdown for a US geography. Returns counts for white, black, Asian, AIAN, NHPI, other, two-or-more, plus Hispanic/Latino total and median age. Source: ACS 5-year. Endpoint: https://livedatalink.ai/mcp
- census_income_housing - Median household income, per capita income, housing units, owner vs renter occupancy, median home value, median gross and contract rent for a US geography. Used for real estate AI, market analysis, location-based pricing. Endpoint: https://livedatalink.ai/mcp
- census_commute_employment - Labor force, unemployment, commute times, public transit usage, work-from-home rates for a US geography. Used for site selection, workforce analysis, commercial real estate. Endpoint: https://livedatalink.ai/mcp
- census_business - Business establishments, employment, and annual payroll from County Business Patterns. Optional NAICS industry filter. Used for industry research, competitive intel, supply chain analysis. Endpoint: https://livedatalink.ai/mcp
- census_geography_lookup - Look up Census FIPS codes by name. Supports state name or 2-letter code, ZIP code (5 digits), and (for state) substring matching. Use this to find the FIPS codes needed by other census_* tools. Endpoint: https://livedatalink.ai/mcp
- epa_facility_search - Search EPA-regulated facilities by state, city, zip, and/or facility name. Returns each facility's Registry ID (needed for the other EPA tools), address, and a snapshot of its compliance status across Clean Air Act, Clean Water Act, RCRA (waste), and Safe Drinking Water programs. Provide at least one filter; broad queries (e.g. state only for a large state) may be rejected as too broad, so add a city, zip, or name. Endpoint: https://livedatalink.ai/mcp
- epa_facility_details - Get a Detailed Facility Report for one facility by its EPA Registry ID: name, address, permits held, and per-statute (CAA/CWA/RCRA/SDWA) compliance and inspection summaries. Use epa_facility_search first to obtain the registry_id. Endpoint: https://livedatalink.ai/mcp
- epa_facility_compliance - Report a facility's current compliance status and recent non-compliance history by environmental program (Clean Air Act, Clean Water Act, RCRA hazardous waste, Safe Drinking Water Act). Shows quarters in non-compliance, quarters in significant non-compliance, and last inspection per statute. Requires an EPA Registry ID. Endpoint: https://livedatalink.ai/mcp
- epa_enforcement_search - List formal enforcement actions and penalties taken against a facility, plus a per-program summary of formal/informal actions, cases, and total penalties. Requires an EPA Registry ID (use epa_facility_search to find it). Endpoint: https://livedatalink.ai/mcp
- epa_water_or_air_violations - Report a facility's air (Clean Air Act) or water (Clean Water Act / Safe Drinking Water Act) violations and the related compliance summaries. Set media to 'air', 'water', or 'all'. Requires an EPA Registry ID. Endpoint: https://livedatalink.ai/mcp
- fec_candidate_search - Search federal candidates (President, House, Senate) by name, state, office, or party using FEC data. Returns candidate IDs needed for the other FEC tools. Endpoint: https://livedatalink.ai/mcp
- fec_candidate_details - Get full detail for a single federal candidate by FEC candidate_id (e.g. 'P80001571'). Includes office, party, status, election years, and mailing address. Use fec_candidate_search to find the candidate_id. Endpoint: https://livedatalink.ai/mcp
- fec_committee_search - Search FEC-registered political committees (campaign committees, PACs, party committees, Super PACs) by name, state, or committee type. Returns committee IDs. Endpoint: https://livedatalink.ai/mcp
- fec_candidate_financials - Get aggregate campaign finance totals for a candidate by FEC candidate_id, broken down by election cycle. Includes total receipts, disbursements, individual contributions, cash on hand, and debts. Filter to one cycle with the cycle parameter. Endpoint: https://livedatalink.ai/mcp
- fec_independent_expenditures - List independent expenditures (FEC Schedule E) supporting or opposing a candidate or made by a committee. Shows spender committee, amount, date, support/oppose, and description. Provide candidate_id or committee_id. Endpoint: https://livedatalink.ai/mcp
- patent_search - Search granted US patents by keyword (matched against title and abstract), title, and/or grant date range. Provide at least one of query, title, start_date, end_date. Returns title, grant date, assignee, and inventors. Endpoint: https://livedatalink.ai/mcp
- patent_details - Fetch full details for a single patent by its USPTO patent_id (e.g. '10757852'). Returns title, grant date, type, abstract, assignees, inventors, and citation count. Endpoint: https://livedatalink.ai/mcp
- patent_inventor_search - Find inventors by last name (and optional first name). Returns inventor id, name, location, and total patent count. Use the inventor name in patent_search to find their patents. Endpoint: https://livedatalink.ai/mcp
- patent_assignee_search - Find patent assignees (companies / organizations) by name fragment. Returns assignee id, organization name, location, and total patents owned. Ranked by patent count. Endpoint: https://livedatalink.ai/mcp
- patent_recent - List the most recently granted US patents since a start date (defaults to 30 days ago), newest first. Useful for monitoring newly issued patents. Endpoint: https://livedatalink.ai/mcp
- nonprofit_lookup_ein - Look up a US tax-exempt organization by exact EIN from the IRS Exempt Organizations Business Master File (~1.27M orgs). Returns name, address, IRC subsection, and current EO status. Use nonprofit_details for the fully decoded record. Endpoint: https://livedatalink.ai/mcp
- nonprofit_search_name - Fuzzy-search tax-exempt organizations by name, optionally filtered to a US state. Tolerant of word reordering and minor spelling differences. Returns ranked matches with EIN, location, and IRC subsection. Use the returned EIN with nonprofit_details or nonprofit_lookup_ein. Endpoint: https://livedatalink.ai/mcp
- nonprofit_search_location - Find tax-exempt organizations by location: city, state, and/or 5-digit ZIP. At least one filter is required. Useful for discovering charities, churches, and foundations in an area. Returns up to 100 organizations. Endpoint: https://livedatalink.ai/mcp
- nonprofit_details - Full IRS EO BMF record for one organization by EIN, with the coded fields (subsection, foundation status, deductibility, EO status, ruling date) decoded to human-readable labels. Includes address, NTEE code, and the most recent reported asset/income/revenue figures. Endpoint: https://livedatalink.ai/mcp
- nonprofit_status - Current exempt-organization status for one organization by EIN: whether the IRS recognition is active, revoked, or terminated, plus the decoded status label, contribution deductibility, and the ruling (recognition) date. Tells donors and grantmakers if an org is still in good standing. Endpoint: https://livedatalink.ai/mcp
- caselaw_search - Search US court opinions (Caselaw Access Project, public domain) by case name / keyword, court, jurisdiction, and decision-date range. Returns matching case metadata with CAP ids and citations. Use caselaw_opinion_text with a returned id to read the full opinion. Note: v1 index covers the U.S. Reports reporter (official US Supreme Court reporter). Endpoint: https://livedatalink.ai/mcp
- caselaw_citation_lookup - Resolve a reporter citation (e.g. '347 U.S. 483', '347 U. S. 483', '384 U.S. 436') to the case it identifies. Matches official and parallel citations. Returns the case metadata including its CAP id for use with caselaw_opinion_text. Endpoint: https://livedatalink.ai/mcp
- caselaw_case_details - Get full metadata for a single case by its CAP id (name, citations, court, jurisdiction, decision date, reporter location, and the source URL for its full text). Endpoint: https://livedatalink.ai/mcp
- caselaw_opinion_text - Fetch the full opinion text of a case on demand by its CAP id. Text is retrieved live from the public-domain CAP static mirror (not stored), and includes each opinion (majority, dissent, concurrence) with its author. Use max_chars to bound the response. Endpoint: https://livedatalink.ai/mcp
- book_search - Search the full Project Gutenberg catalog (~78,500 public-domain books) live via Gutendex by title / author / subject keyword, with optional author, subject, and language filters. Ranked by keyword relevance then download popularity. Returns each book's Gutenberg id, title, author(s), language, and download count. Use book_fulltext_search to search inside the locally indexed top books. Endpoint: https://livedatalink.ai/mcp
- book_details - Get full catalog metadata for a single book by its Project Gutenberg id (title, authors, subjects, languages, copyright, download count, and whether its full text is indexed here). Endpoint: https://livedatalink.ai/mcp
- book_fulltext_search - Search INSIDE the indexed corpus of top public-domain books for a phrase or keywords and get back the matching passages, each with the book title, author, and a snippet around the match. This is the headline feature: agents can find where a passage appears across great books. Optionally restrict to one book by gutenberg_id. Endpoint: https://livedatalink.ai/mcp
- book_get_text - Return the full text of an indexed book by Gutenberg id, paginated by passage. Use from_seq + max_passages to page through it. For books in the catalog that are NOT indexed locally, returns the public gutenberg.org plain-text URL so the agent can fetch it directly. Endpoint: https://livedatalink.ai/mcp
- book_status - Report the books store status: the catalog is served live via Gutendex (78,000+ books), plus the local D1 indexed-corpus counts (books with full text indexed, total indexed passages, last refresh timestamp). Endpoint: https://livedatalink.ai/mcp
- paper_search - Search ~250M scholarly works (papers, preprints, datasets) live via OpenAlex by keyword across title, abstract, and full text, with optional author, year, and open-access-only filters. Ranked by relevance. Returns each work's OpenAlex id, DOI, title, authors, venue, year, citation count, and a free full-text URL when open access. Use paper_fulltext_search to search inside the locally indexed open-access corpus. Endpoint: https://livedatalink.ai/mcp
- paper_details - Get full catalog metadata for a single scholarly work by OpenAlex id (e.g. 'W2741809807') or DOI (e.g. '10.1038/nature12373'). Returns title, authors, venue, year, citation count, open-access status, and a free full-text URL when available. For a bare arXiv id, use paper_get_text with paper_key 'arxiv:<id>' to read indexed text, or paper_search by title for OpenAlex metadata. Endpoint: https://livedatalink.ai/mcp
- paper_fulltext_search - Search INSIDE the indexed open-access corpus (arXiv + PubMed Central OA full text) for a phrase or keywords and get back the matching passages, each with the paper title, authors, and a snippet around the match. This is the headline feature: agents can find where a finding or method is discussed across open-access papers. Optionally restrict to one paper by paper_key. Endpoint: https://livedatalink.ai/mcp
- paper_get_text - Return the full text of an indexed open-access paper by its corpus key (e.g. 'arxiv:2310.12345'), paginated by passage. Use from_seq + max_passages to page through it. For works not indexed locally, returns a pointer to find the open-access URL via paper_search / paper_details. Endpoint: https://livedatalink.ai/mcp
- paper_status - Report the scholarly store status: the catalog is served live via OpenAlex (~250M works), plus the local D1 indexed-corpus counts (papers with full text indexed, total indexed passages, per-source breakdown, last refresh timestamp). Endpoint: https://livedatalink.ai/mcp
- reg_search - Search the Federal Register (the daily journal of the US government) for rules, proposed rules, notices, and presidential documents by keyword, with optional agency, document type, and publication-date filters. Returns each document's number, title, type, publishing agency, abstract, and URL. Use reg_document to get the full text of one document. Endpoint: https://livedatalink.ai/mcp
- reg_document - Get full metadata and a plain-text body excerpt for a single Federal Register document by its document number (e.g. '2026-09905'). Returns title, type, agencies, abstract, affected CFR parts, a leading excerpt of the full rule text, and the URL for the complete document. Endpoint: https://livedatalink.ai/mcp
- reg_cfr_search - Full-text search the current Code of Federal Regulations (eCFR, all 50 titles) for a phrase or keywords. Returns matching sections with their citation (e.g. '40 CFR 98.411'), hierarchy heading, a text snippet, effective date, and the official eCFR URL, plus the total match count. Use reg_cfr_section to read a full section's text. Endpoint: https://livedatalink.ai/mcp
- reg_cfr_section - Get the current text of a specific Code of Federal Regulations section. Provide the title number, part, and section (e.g. title 40, part '98', section '98.411'). Returns the section's plain text, the date it is current as of, and the official eCFR URL. Endpoint: https://livedatalink.ai/mcp
- reg_cfr_titles - List the 50 Code of Federal Regulations titles with their name and the date each title's text is current as of. Useful for discovering title numbers (e.g. Title 26 = Internal Revenue, Title 40 = Protection of Environment) before calling reg_cfr_section. Endpoint: https://livedatalink.ai/mcp
- realestate_search - Find real-estate markets (metro areas or states) by name and get each one's latest typical home value (Zillow Home Value Index). Use this to discover the region name/id before calling realestate_home_values, realestate_rents, or realestate_trend. Endpoint: https://livedatalink.ai/mcp
- realestate_home_values - Get the typical home value for a metro or state (Zillow Home Value Index): the latest value plus 1-year and 5-year-ago values and percent change. Pass a region name or id. Endpoint: https://livedatalink.ai/mcp
- realestate_rents - Get the typical asking rent for a metro or state (Zillow Observed Rent Index): the latest value plus 1-year and 5-year-ago values and percent change. Pass a region name or id. Endpoint: https://livedatalink.ai/mcp
- realestate_trend - Get the monthly time series of home values (ZHVI) or rents (ZORI) for a metro or state, to chart or analyze the trend. Endpoint: https://livedatalink.ai/mcp
- realestate_status - Report real-estate store coverage: number of regions, total monthly data points, the latest month available, and last refresh. Data is Zillow Research (ZHVI + ZORI), metro and state level. Endpoint: https://livedatalink.ai/mcp
- parcel_search - Search property parcels by street address and get assessed value, land use, and most recent sale for each match. Coverage: Maryland statewide (all 24 jurisdictions, includes sale prices) and Harris County, TX / Houston (appraised value only, no sale prices since Texas is a non-disclosure state). Returns valuation and characteristics only, not owner names. Use parcel_details for the full record. Endpoint: https://livedatalink.ai/mcp
- parcel_details - Get the full record for one parcel by its account id: address, current assessed value (total, land, improvement), land use, zoning, year built, structure square footage, lot size, coordinates, and most recent sale. Valuation and characteristics only, no owner name. Endpoint: https://livedatalink.ai/mcp
- parcel_sales_history - Get the recorded sale history (price + date, no party names) for one parcel by account id. Useful for valuation, appreciation, and comp analysis. Endpoint: https://livedatalink.ai/mcp
- parcel_coverage - List which states/counties the parcel tools currently cover and how many parcels each holds. Coverage grows by state over time. Endpoint: https://livedatalink.ai/mcp
- spending_search_awards - Search federal awards (contracts, grants, loans) from USAspending.gov by recipient company, keyword, and/or awarding agency, with optional fiscal year and minimum amount. Returns each award's id, recipient, amount, awarding agency, type, start date, and description, sorted by amount. Endpoint: https://livedatalink.ai/mcp
- spending_award_details - Get full detail for one federal award by its award id (the generated id from spending_search_awards): recipient, amount, type, awarding and funding agencies, period of performance, NAICS/PSC, place of performance, and description. Endpoint: https://livedatalink.ai/mcp
- spending_recipient_summary - Summarize a company's federal awards: total dollars and top awards for a recipient name in a category (contracts by default). Useful for due diligence and to see who the government pays. Endpoint: https://livedatalink.ai/mcp
- trials_search - Search ClinicalTrials.gov for clinical studies by condition, intervention/drug, sponsor, recruitment status, and/or location. Returns each trial's NCT id, title, status, conditions, lead sponsor, phase, and study type. Endpoint: https://livedatalink.ai/mcp
- trials_details - Get full detail for one clinical trial by its NCT id (e.g. 'NCT02562313'): title, status, conditions, sponsor, phase, interventions, brief summary, enrollment, start/completion dates, number of sites, and the study URL. Endpoint: https://livedatalink.ai/mcp
- treasury_debt - US total public debt outstanding (the 'Debt to the Penny' series from the US Treasury). Returns the most recent figure plus history, split into debt held by the public and intragovernmental holdings. Keyless, official Treasury data. Endpoint: https://livedatalink.ai/mcp
- treasury_interest_rates - Average interest rates the US Treasury pays on its marketable and non-marketable securities (Treasury Bills, Notes, Bonds, TIPS, etc.), by month. Optionally filter by security description. Endpoint: https://livedatalink.ai/mcp
- treasury_exchange_rates - Official US Treasury Reporting Rates of Exchange (the rates US government agencies use to convert foreign currency balances to dollars). Published quarterly. Provide a country or currency to filter, e.g. 'Canada', 'Euro', 'Yen'. Endpoint: https://livedatalink.ai/mcp
- treasury_auctions - Recent US Treasury securities auction results: term, CUSIP, issue/maturity dates, high yield, interest rate, bid-to-cover ratio, and amounts. Optionally filter by security type (Bill, Note, Bond, TIPS, FRN). Endpoint: https://livedatalink.ai/mcp
- treasury_cash_balance - Daily operating cash balance of the US Treasury (the Treasury General Account, the government's checking account at the Fed), from the Daily Treasury Statement. Values are in millions of dollars. Endpoint: https://livedatalink.ai/mcp
- worldbank_indicator - Time series for a World Bank development indicator for one country. Friendly indicators: gdp, gdp_per_capita, gdp_growth, inflation, population, unemployment, life_expectancy, exports, imports, gni_per_capita, poverty_rate, internet_users (or pass a raw World Bank code). Country accepts ISO2/ISO3 codes or common names (e.g. 'US', 'China', 'Germany'). Keyless, official World Bank data. Endpoint: https://livedatalink.ai/mcp
- worldbank_compare - Compare the most recent value of a World Bank indicator across multiple countries (up to 6). Provide a comma-separated list of country codes or names. Endpoint: https://livedatalink.ai/mcp
- worldbank_country_profile - Snapshot of a country's key development indicators (GDP, GDP per capita, growth, inflation, population, unemployment, life expectancy), each at its most recent available year. Endpoint: https://livedatalink.ai/mcp
- bls_indicator - US labor & price statistics from the Bureau of Labor Statistics by friendly name. Available: unemployment_rate, labor_force_participation, employment_population_ratio, cpi, cpi_less_food_energy, nonfarm_payrolls, avg_hourly_earnings, avg_weekly_hours, ppi_final_demand. Returns a monthly time series. Keyless official BLS data. Endpoint: https://livedatalink.ai/mcp
- bls_series - Fetch any BLS time series by its raw series ID (e.g. 'LNS14000000' for the unemployment rate, or a state/industry series). For when you know the exact BLS series ID. Endpoint: https://livedatalink.ai/mcp
- npi_lookup - Look up a single US healthcare provider by their 10-digit NPI (National Provider Identifier). Returns name, type, credential, primary specialty (taxonomy), practice location, and status. Keyless CMS data. Endpoint: https://livedatalink.ai/mcp
- npi_search_provider - Search individual US healthcare providers by name. Requires a last_name (first_name, state, city optional). Returns NPI, specialty, location for each match. Endpoint: https://livedatalink.ai/mcp
- npi_search_organization - Search healthcare organizations (hospitals, clinics, group practices, labs) by name. Requires organization_name; state and city optional. Endpoint: https://livedatalink.ai/mcp
- npi_search_specialty - Find healthcare providers by specialty (taxonomy description) in a location. Requires taxonomy (e.g. 'Cardiology', 'Pediatrics', 'Nurse Practitioner'); state and city optional but recommended. Endpoint: https://livedatalink.ai/mcp
- npm_package - Look up an npm (Node.js) package: latest version, description, license, repository, last publish date, deprecation status, and last-month download count. Pair with cve_search_by_keyword to check for known vulnerabilities. Keyless. Endpoint: https://livedatalink.ai/mcp
- pypi_package - Look up a Python (PyPI) package: latest version, summary, license, author, homepage, and required Python version. Keyless. Endpoint: https://livedatalink.ai/mcp
- cargo_crate - Look up a Rust crate on crates.io: latest version, description, total downloads, repository, and homepage. Keyless. Endpoint: https://livedatalink.ai/mcp
- github_repo - Public GitHub repository stats: description, stars, forks, open issues, primary language, license, last push date, and archived status. Useful for assessing the health and maintenance of an open-source dependency. Keyless (60 req/hr unauthenticated). Endpoint: https://livedatalink.ai/mcp
- rdap_domain - Registration record for a domain via RDAP (the modern WHOIS): registrar, creation/update/expiration dates, status flags, nameservers, and DNSSEC. Useful for due diligence and OSINT on a company's web presence. Keyless. Endpoint: https://livedatalink.ai/mcp
- rdap_ip - Ownership record for an IP address or block via RDAP: the network name, owning organization, ASN, CIDR range, and country. Pairs with ip_reputation and entity lookups. Keyless. Endpoint: https://livedatalink.ai/mcp
- ip_reputation - Risk profile for an IP address: geolocation and network (ASN/ISP/org) plus two abuse signals - whether it is a known Tor exit node, and whether it appears on the abuse.ch Feodo botnet command-and-control blocklist. For fraud, abuse, and security screening. Keyless. Endpoint: https://livedatalink.ai/mcp
- fbi_wanted - Search the FBI's public Wanted/fugitive list by name or keyword. Returns matching subjects with aliases, the responsible field offices, and a link. Complements sanctions screening for person due diligence. Keyless. Endpoint: https://livedatalink.ai/mcp
- recreation_search_facilities - Search US federal recreation facilities (campgrounds, picnic areas, trailheads, marinas, visitor centers) across NPS, USFS, BLM, USACE, BOR, FWS. Filter by name, state, or activity (e.g. 'CAMPING', 'FISHING', 'HIKING'). Endpoint: https://livedatalink.ai/mcp
- recreation_facility_detail - Full record for a single federal recreation facility by its RIDB FacilityID: contact, GPS, reservation URL, accessibility, agency. Endpoint: https://livedatalink.ai/mcp
- recreation_search_recareas - Search federal recreation AREAS (broader units: a whole national forest, a national park unit, a BLM management area) by name, state, or activity. For higher-level place search use this; for specific facilities (campgrounds, trailheads) use recreation_search_facilities. Endpoint: https://livedatalink.ai/mcp
- recreation_search_campsites - Search individual campsites (sites within a campground): loop, accessibility, type, reservable. Provide facility_id to list sites within a known campground, or query to free-text search. Endpoint: https://livedatalink.ai/mcp
- recreation_nearby - List federal recreation facilities within a radius of a coordinate. Useful for proximity searches (e.g. campgrounds near a property, fishing spots near a city). Radius is in kilometers. Endpoint: https://livedatalink.ai/mcp
- congress_search_bills - Search or list recent U.S. federal bills and resolutions from Congress.gov. Returns the most recently updated bills, optionally scoped to a Congress number or filtered by a free-text query. Use this to find legislation by topic or to see what is currently moving. Endpoint: https://livedatalink.ai/mcp
- congress_bill_details - Get full detail for one bill, including title, sponsor, latest action, policy area, and a cosponsor party breakdown. Requires the Congress number, bill type, and bill number (e.g. 118, 'hr', 3076). Endpoint: https://livedatalink.ai/mcp
- congress_bill_actions - Get the chronological legislative action history for one bill (introductions, committee referrals, votes, becoming law). Requires Congress number, bill type, and bill number. Endpoint: https://livedatalink.ai/mcp
- congress_bill_cosponsors - List the cosponsors of one bill with their party and state. Useful for mapping coalitions behind legislation. Requires Congress number, bill type, and bill number. Endpoint: https://livedatalink.ai/mcp
- congress_search_members - Search members of Congress, optionally filtered by Congress number, two-letter state, and district. Returns name, party, chamber, and bioguide ID (use that ID with congress_member_details). Endpoint: https://livedatalink.ai/mcp
- congress_member_details - Get detailed profile for one member of Congress by bioguide ID (e.g. 'P000197'), including party history, terms served, and leadership roles. Endpoint: https://livedatalink.ai/mcp
- congress_house_votes - List recent U.S. House roll-call votes for a Congress, with vote number, question, result, and date. Defaults to the current Congress. Endpoint: https://livedatalink.ai/mcp
- congress_recent_laws - List bills that have become public or private law in a given Congress. Defaults to the current Congress. Use law_type 'pub' for public laws or 'priv' for private laws. Endpoint: https://livedatalink.ai/mcp
- lobbying_search - Search U.S. federal lobbying disclosure filings (Senate LDA). Filter by year, filing type, registrant (lobbying firm), client (who hired them), or general issue code. Returns filings with the client, registrant, period, income/expenses, and lobbying issues. Pair with FEC and Congress tools to follow the money. Endpoint: https://livedatalink.ai/mcp
- lobbying_detail - Get the full detail of one lobbying filing by its UUID (from lobbying_search results), including all lobbying activities, issues, covered officials contacted, and the lobbyists involved. Endpoint: https://livedatalink.ai/mcp
- lobbying_contributions - Search LDA contribution reports (political contributions disclosed by lobbyists/registrants). Filter by year, registrant, or lobbyist name. Endpoint: https://livedatalink.ai/mcp
- lobbying_registrants - Search registered lobbying firms (registrants) by name. Returns registrant profile records. Endpoint: https://livedatalink.ai/mcp
- lobbying_lobbyists - Search individual lobbyists by name (and optionally by their registrant firm). Returns lobbyist records with their associated firm. Endpoint: https://livedatalink.ai/mcp
- fdic_search_institutions - Search FDIC-insured banks and savings institutions by name, state, or city. Returns CERT number, name, location, total assets, deposits, net income, ROA, ROE, charter class. Use the CERT number for follow-up queries to fdic_financials or fdic_history. Endpoint: https://livedatalink.ai/mcp
- fdic_failures - List FDIC bank failures. Filter by state and/or date range. Returns failure date, institution name, location, estimated cost, and resolution type. Sorted most-recent first. Use this for systemic-risk research, historical bank-stability analysis, or compliance work. Endpoint: https://livedatalink.ai/mcp
- fdic_financials - Get quarterly financial data for a specific bank by CERT number (FDIC Certificate Number). Returns recent quarters of assets, deposits, loans, capital ratios, income, and asset quality metrics. Most recent quarters first. Endpoint: https://livedatalink.ai/mcp
- fdic_summary - Industry-level summary financials. Returns year-by-year aggregates across all FDIC-insured institutions, optionally filtered to a single state. Useful for macro banking-sector analysis. Endpoint: https://livedatalink.ai/mcp
- fdic_deposits - Branch-office deposit data from the FDIC Summary of Deposits (annual snapshot). Returns deposits per branch sorted by deposit volume, useful for measuring local-market banking concentration. Endpoint: https://livedatalink.ai/mcp
- fdic_history - Institution history events for a specific bank by CERT: mergers, acquisitions, name changes, charter conversions, failures. Returns most-recent first. Endpoint: https://livedatalink.ai/mcp
- usgs_earthquake_feed - USGS official earthquake summary feed by period and minimum magnitude. period: hour|day|week|month. min_mag: 1.0|2.5|4.5|significant. Returns all events worldwide above the threshold within the period, with magnitude, location, depth, and event detail URL. Endpoint: https://livedatalink.ai/mcp
- usgs_earthquake_search - Custom earthquake search via USGS fdsnws. Filter by magnitude, time range, and lat/lon bounding box. Returns up to 100 events sorted by time. Use this for analytical queries instead of the feed when you need historical or geographic filtering. Endpoint: https://livedatalink.ai/mcp
- usgs_earthquake_detail - Get full detail for a specific earthquake event by USGS event ID. Returns origin, magnitude details, focal mechanism (if available), shake-map link, felt reports, tsunami flag, and impact estimates. Endpoint: https://livedatalink.ai/mcp
- usgs_water_realtime - Real-time water data from USGS NWIS streamgages. Filter by site code, state, or parameter (e.g. '00060' = streamflow cfs, '00065' = gage height ft). Useful for flood-stage monitoring, drought tracking, and hydrological research. Endpoint: https://livedatalink.ai/mcp
- cms_hospital_search - Search Medicare-certified hospitals from the CMS Hospital General Information dataset. Returns facility name, address, ownership type, emergency-services flag, and CMS overall star rating (1-5). Filter by state, city, and partial facility-name match. Endpoint: https://livedatalink.ai/mcp
- cms_nursing_home_search - Search Medicare-certified nursing homes from CMS Nursing Home Compare. Returns name, address, ownership, certification status, total beds, and quality measures. Endpoint: https://livedatalink.ai/mcp
- cms_home_health_search - Search Medicare-certified home health agencies from CMS Home Health Compare. Returns agency name, address, services offered, and quality ratings. Endpoint: https://livedatalink.ai/mcp
- cms_hospice_search - Search Medicare-certified hospice agencies from CMS Hospice Compare. Returns provider name, address, ownership, and quality measures. Endpoint: https://livedatalink.ai/mcp
- cfpb_search_complaints - Search the CFPB Consumer Complaint Database (4M+ complaints submitted against financial companies since 2011). Filter by free-text term, company, product, state, date range, and narrative-presence. Returns complaint metadata plus public narratives when available. Endpoint: https://livedatalink.ai/mcp
- cfpb_complaint_aggregations - Aggregate complaint counts by a single facet (product, issue, company, state, company_response, or submitted_via). Useful for ranking companies by complaint volume or finding the most common issue categories. Endpoint: https://livedatalink.ai/mcp
- cfpb_complaint_trends - Time-series trends of complaint volume. lens=overview shows total complaints over time; lens=product shows by product; lens=company shows by company; lens=issue shows by issue. Interval can be month, quarter, or year. Endpoint: https://livedatalink.ai/mcp
- cfpb_complaint_detail - Fetch a single CFPB complaint by complaint_id. Returns the full record including narrative if consented. Endpoint: https://livedatalink.ai/mcp
- cfpb_state_complaints - Complaint counts and percentages per US state, with optional product filter and date range. Useful for state-level financial-consumer risk maps. Endpoint: https://livedatalink.ai/mcp
- cfpb_suggest_company - Auto-complete company names. Returns up to 10 suggestions matching the partial input. Use the results as exact values for cfpb_search_complaints' company parameter. Endpoint: https://livedatalink.ai/mcp
- cdc_weekly_deaths_by_state - CDC weekly provisional deaths by state and cause (NCHS dataset muzy-jte6). Returns all-cause and selected-cause death counts per state per ISO week. Useful for excess-mortality and respiratory-disease seasonality analysis. Endpoint: https://livedatalink.ai/mcp
- cdc_excess_deaths_covid - CDC excess deaths associated with COVID-19 (xkkf-xrst). Modeled expected vs observed deaths by state and week. Used to estimate true pandemic impact beyond reported COVID deaths. Endpoint: https://livedatalink.ai/mcp
- cdc_flu_surveillance - CDC FluView state-level influenza surveillance (vh55-3he6). Returns weekly ILI (influenza-like illness) activity levels per state. Endpoint: https://livedatalink.ai/mcp
- cdc_leading_causes_of_death - NCHS leading causes of death by state (bi63-dtpu). Returns total deaths and age-adjusted death rates per cause per state per year. Useful for chronic disease + injury mortality research. Endpoint: https://livedatalink.ai/mcp
- cdc_drug_overdose_deaths - CDC drug overdose deaths by state and indicator (9j2v-jamp). 12-month rolling counts. Useful for opioid/fentanyl/stimulant policy research and treatment-program siting. Endpoint: https://livedatalink.ai/mcp
- cdc_vaccination_coverage - COVID-19 vaccination coverage by US county (8xkx-amqh). Returns booster + primary series percentages over time. Useful for public-health gap analysis. Endpoint: https://livedatalink.ai/mcp
- cdc_outbreak_reports - CDC NORS foodborne / waterborne / enteric outbreak reports (iezt-77pi). Returns outbreak date, state, etiology, illnesses, hospitalizations, deaths, and implicated food/exposure. Endpoint: https://livedatalink.ai/mcp
- cdc_dataset_query - Generic SoQL query against any data.cdc.gov dataset. Use this when none of the curated tools fit. Accepts a 4x4 Socrata ID and a where-clause. SoQL reference: https://dev.socrata.com/docs/queries/ Endpoint: https://livedatalink.ai/mcp
- open_payments_search - Search CMS Open Payments general payments (Sunshine Act) -- pharmaceutical/device company payments to doctors and teaching hospitals. Filter by company, doctor surname, state, specialty, and year. Returns payment amount, type (food/travel/consulting/gift/royalty), drug/device name, and recipient details. 15M+ records per year. Endpoint: https://livedatalink.ai/mcp
- open_payments_top - Same filters as open_payments_search but sorted by payment amount descending. Use this to find the LARGEST individual pharma payments by company, state, or specialty. Endpoint: https://livedatalink.ai/mcp
- open_payments_research - Search Open Payments RESEARCH payments -- clinical research grants and study funding from pharma/device companies to doctors. Separate dataset from general payments. Endpoint: https://livedatalink.ai/mcp
- open_payments_ownership - Search Open Payments OWNERSHIP / investment-interest data -- doctors with equity stakes in pharma/device companies. The deepest disclosure category and the strongest conflict-of-interest signal. Endpoint: https://livedatalink.ai/mcp
- open_payments_by_company - Pre-aggregated payment summary grouped by reporting company across all years. Returns total dollars and payment count per manufacturer/GPO. Use this to rank companies by their pharma-influence spend. Endpoint: https://livedatalink.ai/mcp
- open_payments_national_summary - National-level Open Payments totals and averages across all years. Shows how much money flows from pharma to doctors nationally, broken down by payment-nature category. Endpoint: https://livedatalink.ai/mcp
- open_payments_state_totals - State-level Open Payments totals. Returns payment totals and average per recipient per state. Useful for state-level pharma-influence research. Endpoint: https://livedatalink.ai/mcp
- open_payments_by_specialty - Payment totals grouped by medical specialty. Reveals which specialties receive the most pharma money: orthopedic surgeons, cardiologists, psychiatrists, etc. Endpoint: https://livedatalink.ai/mcp
- geocode_address - Geocode a US street address with the Census Geocoder (keyless). Accepts a one-line address OR structured street/city/state/zip parts. Returns the normalized matched address, longitude/latitude, and Census geographies (state, county, tract, block, congressional district) with GEOIDs. No match returns an explicit not-found message. Endpoint: https://livedatalink.ai/mcp
- geocode_coordinates - Reverse-geocode a longitude/latitude pair with the Census Geocoder (keyless). Returns the Census geographies (state, county, tract, block, congressional district) containing the point, with GEOIDs. Endpoint: https://livedatalink.ai/mcp
- geocode_batch - Geocode up to 10 one-line US addresses in a single call. Returns one block per input address (matched address, coordinates, and county/tract GEOIDs). For large jobs the Census batch file API supports up to 10k rows; this tool covers small ad-hoc batches. Endpoint: https://livedatalink.ai/mcp
- tx_wells_near - Find Texas oil & gas wells near a location using the Texas Railroad Commission (RRC) public well map (keyless public record). Given a longitude/latitude and a radius, returns the wells within it, each with its API well number, well number, and type/status (e.g. 'Oil Well', 'Gas Well', 'Permitted Location', 'Dry Hole', 'Injection/Disposal'), plus a breakdown by type. Use geocode_address first to turn a street address into coordinates. Texas covers the Permian and Eagle Ford basins. This is well LOCATION + type data; operator, production volumes, and permit dates are not in this layer. Endpoint: https://livedatalink.ai/mcp
- ok_wells_search - Search Oklahoma oil & gas wells by county, operator, API number, and/or well type using the Oklahoma Corporation Commission (OCC) RBDMS well database (keyless public record). Unlike a pure map layer, this returns the OPERATOR, well status, well type (OIL/GAS/DRY/etc.), well name, county, and location for each match, plus the total matching count and a by-operator/by-type breakdown. Use it for 'who operates wells in county X', 'how many wells does operator Y have', or an operator's well portfolio. Oklahoma covers the Anadarko Basin / SCOOP / STACK plays. At least one of county, operator, or api is recommended to narrow the search. Endpoint: https://livedatalink.ai/mcp
- lei_lookup - Resolve a company name to its Legal Entity Identifier (LEI), or look up an LEI code directly, using the GLEIF public register (keyless, CC0 open data). Returns each matching entity's 20-character LEI, exact legal name, operating status (ACTIVE/INACTIVE), jurisdiction (ISO 3166-2), legal-form code, legal address (city/region/country), LEI registration status (ISSUED/LAPSED/RETIRED), and last-update date. The LEI is the global standard join key for entity resolution — use it to disambiguate a company and cross-reference it against sanctions, SEC EDGAR, federal spending, and due-diligence tools. Pass a name (fuzzy match, returns ranked candidates) or a 20-char LEI (exact). Endpoint: https://livedatalink.ai/mcp
- lei_hierarchy - Map a company's corporate family tree from the GLEIF relationship register (keyless, CC0 open data): given a company name or LEI, returns its direct parent, ultimate (top-of-tree) parent, and a list of its direct children/subsidiaries with the total subsidiary count. Answers 'who ultimately owns this company?' and 'what does this company own?' — core due-diligence and beneficial-ownership questions. Each node includes the LEI, legal name, and jurisdiction so you can drill further. Relationships GLEIF has no filing for are reported as 'none reported' (not an error). Endpoint: https://livedatalink.ai/mcp
- chemical_lookup - Resolve a chemical name (e.g. 'aspirin', 'caffeine') or a PubChem CID to its core identity and physical properties using the NIH/NLM PubChem public database (keyless, public-domain data). Returns the PubChem Compound ID (CID), IUPAC systematic name, molecular formula, molecular weight (g/mol), and the canonical SMILES structure string. Use it to disambiguate a substance and obtain a stable CID join key for further chemistry or safety lookups. Endpoint: https://livedatalink.ai/mcp
- chemical_hazards - Return the public GHS (Globally Harmonized System) hazard classification for a chemical from the NIH/NLM PubChem database (keyless, public-domain data). Given a chemical name or PubChem CID, it resolves the compound and returns the GHS signal word (Danger/Warning) and the list of GHS hazard statements (e.g. 'H302: Harmful if swallowed'). If PubChem has no GHS classification on file for the compound, that is reported gracefully. This is informational public GHS classification data, not regulatory guidance or a safety data sheet - verify against an official SDS before handling any chemical. Endpoint: https://livedatalink.ai/mcp
- tide_predictions - Return high and low tide predictions (times and heights) from the keyless NOAA Tides & Currents (CO-OPS) public API - U.S. Government public-domain data. Give either a NOAA station id (e.g. '9414290' for San Francisco) or a lat/lon (the nearest tide-prediction station is chosen automatically). Returns each high and low tide over the requested inclusive date range, in local station time, relative to the chosen tidal datum (default MLLW). Use it for tide tables, beach and boating planning, or coastal scheduling. Endpoint: https://livedatalink.ai/mcp
- water_levels - Return the latest observed water level from a NOAA Tides & Currents (CO-OPS) station using the keyless public API - U.S. Government public-domain data. Give either a NOAA station id or a lat/lon (the nearest station is chosen automatically). Returns the observed water level relative to the chosen datum (default MLLW), the observation time in local station time, and the sample standard deviation when reported. Use it to check current real-world water level versus prediction. Endpoint: https://livedatalink.ai/mcp
- sun_times - Compute sunrise, sunset, solar noon, and civil twilight for any latitude/longitude on a given date. Times are computed in code from the standard NOAA solar-position equations (no third-party API is called, so the result is dependency-free and resale-safe). Times are returned in UTC by default; pass tz_offset (hours from UTC, e.g. -7 for US Pacific Daylight Time) to shift the output to local clock time. Polar day and polar night are reported when the sun does not rise or set. Use it for daylight planning, photography golden-hour timing, or agriculture and energy calculations. Endpoint: https://livedatalink.ai/mcp
- grants_search - Search federal funding opportunities on Grants.gov (keyless). Filter by keyword, opportunity status (forecasted/posted/closed/archived), agency, funding category and eligibility. Returns opportunity number, title, agency, status, open/close dates and CFDA numbers. Endpoint: https://livedatalink.ai/mcp
- grants_get_opportunity - Fetch full detail for a Grants.gov opportunity by its numeric opportunity id (the 'id' field from grants_search, e.g. '334326'). Returns description, eligibility, funding (ceiling/floor/estimated), key dates, CFDA numbers and the agency contact. Endpoint: https://livedatalink.ai/mcp
- cpsc_recall_search - Search U.S. Consumer Product Safety Commission (CPSC) product recalls via SaferProducts.gov (keyless). Filter by product name/keyword, title, manufacturer, hazard, recall number, and date range. Returns recall number, date, title, products, hazards, remedy, manufacturers, injuries, and the official CPSC recall URL. Data: CPSC/SaferProducts.gov. Endpoint: https://livedatalink.ai/mcp
- cpsc_recent_recalls - Return the most recent U.S. CPSC product recalls (date-sorted, newest first) via SaferProducts.gov (keyless). Looks back a configurable window (default 90 days). Each result links to the official CPSC recall page. Data: CPSC/SaferProducts.gov. Endpoint: https://livedatalink.ai/mcp
- counterparty_risk_score - Compute a composite 0-100 Counterparty Risk Score for a company name. Combines findings from sanctions screening (OFAC/UN/EU/BIS), SEC EDGAR (registered-filer signal), federal courts (litigation history), EPA ECHO (environmental enforcement), and USAspending (federal contract vetting) into a single weighted metric with an explainable evidence chain. Returns: score, risk band (clean/low/moderate/elevated/high/critical), itemized evidence with citations, sources queried, sources that failed, and a plain-text summary suitable for an AI agent to surface to a user. Sanctions hits zero the score regardless of other signals. Use this when you need a single-call counterparty risk verdict instead of stitching five separate queries. Endpoint: https://livedatalink.ai/mcp
- carrier_vetting_score - Vet a US motor carrier (trucking company) for a freight-brokerage 'is this safe and legit to broker a load to?' decision, in one call. Give a USDOT number, MC number, or carrier name. Joins FMCSA safety data (operating authority, insurance on file, BASIC safety scores, crash and out-of-service history vs the national average, safety rating) with sanctions screening (OFAC/UN/EU/BIS on the carrier's legal name), federal-court litigation history (CourtListener), and USAspending federal awards. Returns a GO / CAUTION / NO-GO verdict with the reasons, plus all the underlying fields. NO-GO is triggered by a sanctions match or lack of active operating authority; CAUTION by BASIC alerts, fatal crashes, missing liability insurance, high out-of-service rates, or litigation. This is an analytical aid, not a substitute for your own carrier-onboarding checks. Endpoint: https://livedatalink.ai/mcp
- options_history_chain - Get the full historical options chain for a ticker on a specific date (2019-2024). Returns every strike + expiration available that day with bid, ask, implied volatility, and all five Greeks (delta, gamma, theta, vega, rho). Use this for point-in-time backtesting, vol surface snapshots, or single-day analysis. Data source: DoltHub free options dataset, indexed in LiveDataLink's R2 storage. Endpoint: https://livedatalink.ai/mcp
- options_history_volhist - Get per-day implied volatility and historical volatility summary for a ticker. Returns iv_current, hv_current, plus year-high/year-low markers for each. Useful for IV rank/percentile signals, vol regime detection, and time-series feature engineering. Much smaller payload than full chain data. Endpoint: https://livedatalink.ai/mcp
- options_history_contract - Track a specific options contract (same ticker + strike + expiration) over time. Returns all daily observations of that contract with its evolving bid/ask, IV, and Greeks. Useful for studying single-contract behavior leading up to expiration, gamma squeezes around specific strikes, etc. Endpoint: https://livedatalink.ai/mcp
- options_history_atm_iv - Get the historical at-the-money implied volatility time series for a ticker. For each date, returns the strike closest to 50-delta and its IV. Default to call ATM IV but supports puts. Useful for VRP calculations, term structure, regime detection, and as a primary feature in directional/vol forecasting models. Endpoint: https://livedatalink.ai/mcp
- iv_analytics - Compute derived options-volatility analytics for a US ticker from LiveDataLink's historical volatility series (2019-2024): IV Rank (where current implied vol sits in its own range over the lookback window), IV Percentile (share of days with lower IV), Variance Risk Premium (implied minus realized vol), 52-week IV high/low, and 1-week/1-month IV momentum. Premium synthesis over the options-history store. Analytical aid, not investment advice. Endpoint: https://livedatalink.ai/mcp
- price_to_rent_ratio - Compute the buy-vs-rent price-to-rent ratio for a US metro or state: Zillow home value (ZHVI) divided by annualized rent (ZORI x 12). Returns the ratio plus a rule-of-thumb signal (below ~15 favors buying, above ~20 favors renting). Premium synthesis over the real-estate market store. Rule-of-thumb only, not financial advice. Endpoint: https://livedatalink.ai/mcp
- recall_screen - One-call product-safety recall sweep across CPSC (consumer products), openFDA (drug/device/food enforcement), and NHTSA (vehicles). Provide a product/keyword/manufacturer query and/or a full vehicle (year+make+model). Results are normalized, deduped within and across sources, severity-rolled (FDA Class I or death-related = high), and summarized with a by-classification breakdown. A source that fails is noted, not fatal. Premium cross-source synthesis. Verify against the official sources before acting. Endpoint: https://livedatalink.ai/mcp
- org_funding_profile - One-call federal-money + nonprofit profile for an organization: USAspending contracts and grants recipient summaries (total dollars, award counts, top agencies), IRS 990 exempt-organization details (revenue/assets/income, NTEE, subsection, exempt status) by EIN or name+state, and optionally open Grants.gov OPPORTUNITIES (clearly labeled as available funding to apply for, NOT awards received). Sources degrade gracefully. Premium cross-source synthesis; federal dollars are name-matched and should be verified. Endpoint: https://livedatalink.ai/mcp
- bank_health_report - One-call financial-health read for a US bank or savings institution. Give a bank name or an FDIC certificate (CERT) number. Joins FDIC BankFind institution + financials (total assets, deposits, net income, return on assets/equity, active-vs-failed status) with the CFPB Consumer Complaint Database (complaint volume and top complaint products for the matched company) into a HEALTHY / STABLE / WATCH / FAILED read with the numbers behind it. FDIC is the primary signal; CFPB complaint data is best-effort and degrades gracefully if the bank's complaint records cannot be matched. Useful for picking a sponsor/partner bank, treasury counterparty checks, or deposit-safety questions. Informational, not a rating or advice. Endpoint: https://livedatalink.ai/mcp
- location_risk_report - One-call, site-bound hazard + environmental profile with an explainable 0-100 risk score. Geocodes an address (or takes lat/lon) then fans out to FEMA flood zone, recent FEMA disaster declarations (county), active NWS alerts, USGS earthquakes within 50km, EPA ECHO regulated facilities (by ZIP/state), and parcel records (Maryland statewide / Texas-Harris County only). The score starts at 100 and subtracts itemized deductions (flood SFHA, active alerts, declarations, EPA non-compliance, strong quakes). A failing source is noted, not fatal. Premium cross-source synthesis; not a substitute for a professional site assessment. Endpoint: https://livedatalink.ai/mcp
- resolve_entity - Canonical cross-source entity resolution - the join-key primitive to run before other combos. Given a company/organization name (plus optional ticker/CIK/EIN/state hints), fans out across the LiveDataLink sources that carry a strong identifier and returns the best-matched canonical identity plus the IDs it resolves to: SEC EDGAR (CIK, ticker), GLEIF (LEI plus the ownership chain - direct and ultimate parent LEI and the reported subsidiary count), NPPES (organizational NPI for healthcare entities), IRS 990 (EIN), USAspending (federal recipient name), EPA ECHO (facility registry id), and an OFAC/EU/UN/BIS sanctions screen (match/no-match flag). Returns a compact canonical-IDs block with per-source confidence, an entity-type guess, an ownership summary, and an overall match confidence - distinct from entity_dossier's full narrative. A source that fails is noted, not fatal. UEI/SAM.gov and RDAP domain-owner ids are omitted (not wired sources). Premium cross-source synthesis; verify identifiers before relying on a join. Endpoint: https://livedatalink.ai/mcp
- security_exposure - One-call known-vulnerability exposure for a vendor/product/package, built on the LiveDataLink cyber domain. Fans out to NVD (CVE search by vendor+product or keyword), the CISA KEV catalog (actively-exploited flag - the highest signal), FIRST EPSS (exploit-probability scores for the most-severe CVEs), and aggregates MITRE CWE weakness types from the matched CVEs. Returns total CVEs, counts by CVSS severity band, KEV membership with the actively-exploited CVEs listed, the highest EPSS score, the critical CVEs, top CWE weakness types, an overall exposure rollup (KEV present -> high), and an evidence list. No matches returns a friendly 0-exposure result; if the cyber source is unavailable that is noted per-source. Exactly one NVD call per invocation. INFORMATIONAL security research, not advice. Package-registry maintenance/staleness signals are out of scope for this tool. Endpoint: https://livedatalink.ai/mcp
- energy_market_snapshot - One-call US energy market snapshot from EIA (public domain): the WTI crude (Cushing), Brent crude, and Henry Hub natural-gas benchmark prices, each enriched with derived context - latest level and date, 1-year change, where the current level sits within its own recent history (percentile), and the recent trend direction (rising/falling/flat). Answers 'what is oil/gas doing right now, and is it historically high or low' in a single call. A source that fails is noted, not fatal. Premium synthesis over the EIA domain; informational market data, not trading advice. Endpoint: https://livedatalink.ai/mcp
- environmental_site_risk - One-call environmental-compliance and contamination liability read for a SPECIFIC site or operator - the question a buyer, lender, or Phase-I ESA asks before a deal. Distinct from location_risk_report (which scores natural hazards plus a shallow count of nearby facilities): this drills DEEP into one named facility's EPA record via ECHO/FRS - overall compliance status, per-statute program standing (Clean Air/Water/RCRA/etc.), formal enforcement actions and penalty totals, significant-non-compliance and non-compliant-quarter flags - plus a best-effort parcel record for site context. Returns a verdict band (NO ADVERSE EPA RECORD / REVIEW RECOMMENDED / CONTAMINATION-COMPLIANCE CONCERN / NO FACILITY FOUND), the flags, and the evidence. A source that fails is noted, not fatal. This is an EPA public-record screen, not a Phase-I Environmental Site Assessment or a substitute for one. Premium cross-source synthesis. Endpoint: https://livedatalink.ai/mcp
- college_value_score - One-call 'is this degree worth the cost' read for a US college (and optionally a named program). Joins the College Scorecard / IPEDS education domain (average net price, six-year completion rate, median earnings ten years after entry, and - when a program is named - program-level median debt and 1-year earnings) with a keyless BLS wage context (CES average hourly earnings, annualized) to place those earnings against the broad US private-sector wage. Returns a plain read - STRONG VALUE / FAIR / WEAK VALUE / INSUFFICIENT DATA - with the cost-vs-earnings evidence itemized and each sub-signal scored. A source that fails is noted, not fatal. Premium cross-source synthesis; Scorecard earnings cover federally-aided students only and lag by years. Informational only, not admissions, financial, or career advice. Endpoint: https://livedatalink.ai/mcp
- issuer_diligence_dossier - One-call NARRATIVE public-record diligence dossier for a public company / SEC issuer. Joins SEC EDGAR (registrant identity, CIK/ticker, recent filings and their form mix), federal courts via CourtListener (RECAP dockets whose name references the issuer), USAspending (federal contract awards, name-matched), and CPSC product-safety recalls into a readable brief with a short headline and four sections: Identity & SEC, Litigation, Federal business, and Product-safety. Every source degrades gracefully - a failing leg is noted, not fatal. This is a narrative synthesis, deliberately distinct from counterparty_risk_score (a 0-100 score) and entity_dossier (SEC+EPA+sanctions only). Informational public-record synthesis, not a background check or legal/financial advice. Endpoint: https://livedatalink.ai/mcp
- company_trust_check - One-call public-record trust read for a company - answers 'can I trust this company?' for KYB/vendor-diligence agents. Joins the LiveDataLink sources that carry a legitimacy or risk signal into a single standing read: an OFAC SDN / EU / UN / BIS sanctions screen (a hit is decisive), SEC EDGAR registration plus the latest filing date (legitimacy + recency), USAspending federal award history (the US government transacts with them), and EPA ECHO facility compliance (significant-non-compliance, penalty, and non-compliant-quarter flags). Returns a plain-English verdict band (ESTABLISHED PUBLIC-RECORD STANDING / STANDING WITH FLAGS / LIMITED FOOTPRINT / SANCTIONS SCREEN HIT), the positive signals, the flags to review, and the resolved identifiers. A source that fails is noted, not fatal. This is a public-record SIGNAL read, not a credit report, background check, or endorsement: absence of a record is not proof of wrongdoing and a match is not proof of guilt. Premium cross-source synthesis. Endpoint: https://livedatalink.ai/mcp
- product_liability_screen - One-call product-safety + liability read for a MANUFACTURER or brand. Joins three public-record legs: product recalls (CPSC consumer products + openFDA drug/device/food enforcement, keyed by manufacturer), federal-court litigation (CourtListener dockets whose caption actually names the brand), and CFPB consumer-complaint volume. Returns a rolled-up read (CLEAN / WATCH / ELEVATED LIABILITY SIGNALS) with recall count and severity (FDA Class I / death-related = high), litigation hits (total + last-3-years), and complaint volume, plus an itemized interpretation. A leg that fails is noted, not fatal. NHTSA vehicle recalls need a specific year+make+model so are out of scope here (use recall_screen for a vehicle). Premium cross-source synthesis; informational public-record synthesis, NOT legal advice. Endpoint: https://livedatalink.ai/mcp
- influence_network_map - One-call 'follow the money and influence' map for an organization, joined across three federal public-record streams: FEC (the org's connected political committees / PACs - its political-spending vehicles), the U.S. Senate Lobbying Disclosure Act (filings where the org is the client, the reported lobbying spend, the firms it hired, and the issue areas lobbied), and USAspending (federal contracts + grants the org RECEIVES, with award counts and top agencies). Returns a readable map of money flowing OUT to influence (lobbying + political committees) vs. money flowing IN from federal awards. Built for investigative journalism, govcon, and due-diligence research. Informational public-record synthesis, NOT a risk score (distinct from counterparty_risk_score). The FEC leg needs an api.data.gov key and is noted as skipped if unavailable; a source that fails is noted, not fatal. Endpoint: https://livedatalink.ai/mcp
- market_size_estimator - One-call TAM / market-size read for an industry (NAICS) in a US geography. Joins two independent federal sources that both count business activity by NAICS + area so each corroborates the other: US Census County Business Patterns (establishments, employment, annual payroll - needs a Census API key) and BLS QCEW (keyless: private establishment count, total wages, average annual pay, with employment implied from wages / avg pay). Returns the establishment count, employment, and a wage/payroll-based market-size anchor with the per-source evidence. Pass an 'industry' (e.g. 'restaurants', 'software publishers') or an explicit 'naics' code, and an optional 'state' or 'metro' (defaults to national). Market size here is the total annual wages/payroll paid in the industry+area - a concrete lower bound, NOT total revenue/receipts. A source that fails is noted, not fatal. Informational, not a guarantee. Endpoint: https://livedatalink.ai/mcp
- prescriber_ties_profile - One-call identity + industry-financial-ties transparency profile for a US healthcare prescriber. Joins two keyless federal sources: the NPPES NPI Registry (identity - NPI, specialty, city/state, active status) and CMS Open Payments / Sunshine Act (industry payments disclosed to that prescriber - total dollars, payment count, top paying manufacturers, and associated drugs/products for the most recent program year with data). Provide a last_name (ideally with first_name + state) or an exact 10-digit npi. The name resolver picks the NPPES record that genuinely matches the requested name (never a blind top hit), and payments are pinned to that exact NPI across recent program years. This is a TRANSPARENCY profile drawn from public records, NOT a judgment: industry payments to physicians are lawful and publicly disclosed, and their presence is not evidence of wrongdoing. A source that fails is noted, not fatal. Premium cross-source synthesis; verify against the primary sources. Endpoint: https://livedatalink.ai/mcp
- clinical_site_selector - One-call clinical-trial-activity + local-specialist-availability read for a medical condition in a US geography - the question a trial sponsor, CRO, or site-feasibility analyst asks before choosing where to run a study. Joins three keyless public sources: ClinicalTrials.gov (exact count of RECRUITING trials for the condition, scoped to the geography and compared to the national total, plus the top lead sponsors and phase mix from the recruiting sample), the NPPES NPI Registry (local specialist availability - how many providers carry a specialty taxonomy relevant to the condition in the area, across physicians and NPs/PAs/pharmacists/RNs in the field), and optionally US Census ACS population context for the state (needs a Census key; degrades gracefully). The condition is mapped to a provider specialty heuristically; pass an explicit 'specialty' to override. Returns a readable brief with a headline banding trial activity (HIGH/MODERATE/LOW/NONE) and specialist availability. A source that fails is noted, not fatal. INFORMATIONAL research / site-feasibility synthesis, NOT medical advice or a directive to enroll in any trial. Endpoint: https://livedatalink.ai/mcp
- company_complaint_profile - One-call CONSUMER-RISK read for a company or brand, LED by the consumer-complaint picture. Joins three public-record legs, CFPB first: CFPB Consumer Complaint Database (complaint volume for the company plus the top complaint products and issues - the primary signal), product recalls (CPSC consumer products + openFDA drug/device/food enforcement, keyed by the company), and federal-court litigation (CourtListener dockets whose caption actually names the company). Returns a rolled-up read (LOW / MODERATE / ELEVATED consumer-risk signals) that leads with complaint volume and the top complaint products/issues, then folds in recall count and severity (FDA Class I / death-related = high) and litigation hits (total + last-3-years). A leg that fails is noted, not fatal. This is consumer-complaint-centered and distinct from product_liability_screen (recall/litigation-centered for manufacturers). NHTSA vehicle recalls need a specific year+make+model so are out of scope here (use recall_screen for a vehicle). Premium cross-source synthesis; informational public-record synthesis, NOT legal advice. Endpoint: https://livedatalink.ai/mcp
- supplier_esg_scorecard - One-call, resale-safe ESG / supplier-risk read for a company - no proprietary ESG-rating license needed. Joins three public-record governance-signal legs: EPA ECHO/FRS environmental compliance (significant-non-compliance flags, non-compliant quarters, penalties, and formal enforcement actions across the company's facilities, with correct filtering so clean 'No Violation Identified' statuses are never flagged), product recalls (CPSC consumer products + openFDA drug/device/food, keyed by the company), and federal-court litigation (CourtListener v4 dockets whose caption actually names the company). Returns a readable scorecard across Environmental / Product-safety / Litigation dimensions with a rolled-up read (LOW / MODERATE / ELEVATED ESG risk signals) and the evidence behind each. A leg that fails is noted, not fatal. This is informational public-record synthesis of ESG/supplier-risk SIGNALS, NOT an ESG rating, credit/background report, or investment advice. Endpoint: https://livedatalink.ai/mcp
- facility_care_quality - One-call care-quality + provider-identity read for a named US healthcare FACILITY (hospital, nursing home, home-health agency, or hospice). Joins two keyless federal sources: CMS Care Compare (data.cms.gov) for the facility's quality signal - the CMS star rating and, for a hospital, the measure-group highlights (mortality, safety of care, readmission, timely-and-effective care measured better / no different / worse vs national), plus ownership, type, and for a nursing home the health-inspection / staffing / quality-measure star breakdown, certified beds, abuse flag, and fines - and the NPPES NPI Registry for the facility's legal identity (organizational NPI, taxonomy, city/state, active status). Provide a facility name (e.g. 'Cleveland Clinic', 'Mayo Clinic Hospital'); optionally add a 2-letter state to disambiguate and a type (hospital / nursing_home / home_health / hospice) to pin the CMS dataset. When no type is given the tool infers the provider category from the NPPES taxonomy and probes the CMS datasets in order. A leg that fails is noted, not fatal. This is an INFORMATIONAL public-record read, NOT medical advice, a substitute for CMS Care Compare, or an endorsement of any facility. Endpoint: https://livedatalink.ai/mcp
- disaster_recovery_profile - One-call disaster-history and recovery read for a US area (county or place), keyed by NAME + state - distinct from location_risk_report, which scores a single site by address/lat-lon. Joins FEMA's OpenFEMA disaster declarations (the area's federally-declared disaster history: incident types, frequency, most-recent event, and the federal-assistance signal - which programs, Individual Assistance / Individuals & Households / Public Assistance / Hazard Mitigation, were authorized) with optional US Census ACS county population for exposure context (keyed off the FIPS codes the FEMA records carry; needs a Census key and degrades gracefully) and an optional best-effort parcel record for property context when an address is given (Maryland statewide / Texas-Harris County only). Returns a readable profile with a headline banding the area's disaster exposure LOW / MODERATE / HIGH from the declaration record. The FEMA leg is keyless and is the core signal; a source that fails is noted, not fatal. INFORMATIONAL public-record synthesis, NOT an insurance rating, a property flood-risk score, or a professional risk assessment. Endpoint: https://livedatalink.ai/mcp
- talent_market_brief - One-call 'can I hire this role here, and at what cost' read for an occupation in a US geography. Joins two independent federal sources: BLS OEWS (Occupational Employment and Wage Statistics, keyless) for the occupation's employment LEVEL and wage distribution (mean plus 10th / 50th-median / 90th annual percentiles) in the area, and US Census ACS labor-force context (civilian labor force and local unemployment rate - needs a Census API key) to band how TIGHT / BALANCED / SLACK the local hiring market is. Pass an 'occupation' (e.g. 'registered nurses', 'software developers') or an explicit 'soc_code' (e.g. '29-1141'), and an optional 'state' or 'metro' (defaults to national). Returns a readable brief with a headline (employment, median/mean wage, market tightness), the wage percentiles, and per-source evidence. The BLS OEWS leg is the core signal and is keyless; the Census leg degrades gracefully if no key is set. Informational, NOT a guarantee that a role can be filled at any given wage. Endpoint: https://livedatalink.ai/mcp
- cost_of_doing_business_index - One-call comparative 'cost of operating a business here' read for a US state (with optional metro context). Joins three independent public sources, each a real operating-cost dimension expressed RELATIVE to the US national average (national = 1.00) so the result is a readable, comparable index: LABOR cost from BLS QCEW private-sector average annual pay across all industries (keyless), ENERGY cost from EIA retail electricity price for the commercial and industrial sectors (state vs national), and local CONTEXT from US Census ACS median household income, per-capita income, and median gross rent (needs a Census key; degrades gracefully). Returns a headline relative-cost banding (LOW / MODERATE / HIGH cost vs national) from a labor-weighted composite of the labor and energy indices, with each dimension's numbers and its own banding shown. Labor and energy are state-level; a supplied metro refines the context leg and label only. A source that fails is noted, not fatal. Informational, not a guarantee. Endpoint: https://livedatalink.ai/mcp
- corporate_ownership_tree - One-call FULL corporate-ownership tree for a company from GLEIF (keyless CC0 reference data). Give a company name or a 20-character LEI; the tool resolves the entity, climbs to its ULTIMATE parent (top of the ownership chain), then walks DOWN from that root to list the reported direct subsidiaries plus one level of grand-subsidiaries, each with its LEI, jurisdiction, and status (entity ACTIVE/INACTIVE + LEI registration ISSUED/LAPSED). The queried entity is marked in the tree so you can see where it sits. Distinct from resolve_entity, which returns the ultimate parent plus a subsidiary COUNT only: this returns the actual subsidiary LIST/tree for M&A, diligence, and counterparty mapping. The tree is capped (about 25 nodes) so a broad conglomerate stays bounded, with an 'and N more' note where GLEIF reports additional subsidiaries. Only relationships an entity self-reports to GLEIF are shown, so coverage varies by company. A failing hierarchy hop is noted, not fatal. Informational public-record synthesis; verify against GLEIF before relying on it. Endpoint: https://livedatalink.ai/mcp
- beneficial_owner_screen - One-call KYB/AML ownership-chain sanctions screen: answers the real question 'is anyone in this company's ownership chain sanctioned?', not just 'is the top-level name on a list?'. Give a company name or a 20-character LEI; the tool maps the ownership structure via GLEIF (keyless CC0 reference data) - the subject entity, its ULTIMATE parent (top of the chain), and its reported direct subsidiaries, capped at about 15 entities so a broad group stays bounded - then SCREENS each entity in that set against the local sanctions/watchlist matcher (OFAC SDN / EU / UN / BIS), the same first-party matcher company_trust_check uses. Returns the mapped ownership structure, a per-entity CLEAR / HIT result (each hit naming the matched list entry, source, and score), and an overall verdict: CLEAR (no entity matched) vs HITS-FOUND (at least one entity in the chain matched). This catches a sanctioned parent or subsidiary that screening only the counterparty name would miss - the exposure beneficial-ownership rules target. Best-effort: if GLEIF hops fail the subject is still screened; if the sanctions binding is unavailable the screen is noted as unavailable, never silently passed. Only relationships an entity self-reports to GLEIF are shown. A name match is not proof of identity and must be cleared. Informational public-record synthesis, not legal, compliance, or sanctions-clearance advice. Endpoint: https://livedatalink.ai/mcp
- bounce_scanner - Screen one or more US tickers for a mean-reversion 'bounce' setup on daily bars: price near support (recent pivot low) or the moving average, RSI oversold and turning up, a bullish latest candle, and volume at/above its recent average. Returns per-symbol {isBounce, score 0-100, reasons, price, rsi, distanceToSupportPct, supportLevel}. ALL thresholds are tunable inputs (rsi_threshold, ma_period, proximity_pct, lookback_days) so calibration is a parameter change. HEURISTIC signal for research, not investment advice. Endpoint: https://livedatalink.ai/mcp
- candlestick_signals - Detect classic candlestick patterns on a ticker's recent daily bars: hammer, inverted hammer, bullish/bearish engulfing, doji, morning/evening star, and shooting star. Returns each detected pattern with {pattern, date, direction (bullish/bearish/neutral), barIndex}. HEURISTIC pattern detection with conservative default thresholds; for research, not investment advice. Endpoint: https://livedatalink.ai/mcp
- support_resistance_levels - Return key support/resistance price levels for a US ticker from recent daily pivots (swing highs/lows) plus nearby round-number levels, with the latest close for context. HEURISTIC levels for research, not investment advice. Endpoint: https://livedatalink.ai/mcp
- entity_resolve - Resolve a company across US government sources in one call. Searches SEC EDGAR, EPA ECHO, and the sanctions lists by name and returns the candidate match and strong identifiers (SEC CIK, ticker, EPA registry id) found in each. Use this to confirm WHO an entity is and gather its IDs before pulling detail. Matches are name-based candidates to verify, not certain identity links. Endpoint: https://livedatalink.ai/mcp
- entity_dossier - Build a consolidated cross-source dossier for a company in one call: SEC registration and identifiers (EDGAR), environmental footprint and regulated facilities (EPA ECHO), and sanctions/denied-party screening (OFAC/UN/EU/BIS) with a confidence score. Returns a per-source summary plus top records. This is a single AI-native lookup across data that otherwise lives in separate silos. Matches are name-based; verify identity before relying on any link. Endpoint: https://livedatalink.ai/mcp
- search_available_datasets - Your guide to LiveDataLink's entire data catalog. Call this FIRST when you're unsure which tool to use, or when the user asks about data availability. LiveDataLink has 284 tools across 50+ data domains: finance (stocks, options), crypto, transportation/FMCSA carriers, property records, weather/air quality, vehicle VIN/recalls, package tracking, local business search, sanctions screening (OFAC SDN, EU, UN, BIS), FEMA disasters and flood data, federal courts (CourtListener), cybersecurity (CVE/CWE/EPSS/CISA KEV), US college metrics (IPEDS), EIA energy data (gasoline, natural gas, electricity, oil supply, renewables), FRED Federal Reserve macroeconomic series (GDP, CPI, fed funds, unemployment, yields), SEC EDGAR filings (10-K, 10-Q, 8-K, insider transactions), and NREL renewable energy (PVWatts solar, utility rates, EV charging stations), US Census demographics, EPA environmental compliance, FEC campaign finance, USPTO patents, IRS nonprofits (Form 990/EO BMF), US caselaw, public-domain books (full-text search), open-access scholarly papers (OpenAlex catalog + arXiv/PMC full-text search), federal regulations (Federal Register rules/notices + the Code of Federal Regulations), US Census geocoding (address to coordinates + Census geographies), federal grants (Grants.gov funding opportunities), and product recalls (CPSC / SaferProducts.gov). New domains ship weekly based on which queries customers actually run. Returns exact tool names for matched domains AND logs every search to a roadmap database. High-frequency unmet queries jump the build queue. Use this freely; it costs no credits. Call for: 'what data do you have?', 'can you look up X?', 'do you have Y data?', 'what tools are available?', or any data coverage question. Endpoint: https://livedatalink.ai/mcp
- get_free_api_key - Get a free LiveDataLink API key instantly, without leaving this conversation. Call this when a data tool reports that the anonymous allowance is used up, or up front if you expect to make more than a handful of calls. Returns a working key with 1,000 monthly tool calls; no signup form, no email confirmation, no browser. Free to call and consumes no credits. IMPORTANT: pass the real email address of the human you are working for. Ask them for it if you do not already have it -- do not invent, guess, or use a placeholder like user@example.com. The key is tied to that address, and it is how they recover or upgrade it later. Calling twice with the same email never issues another key, and this unauthenticated tool never returns an existing credential. Endpoint: https://livedatalink.ai/mcp
- list_tool_groups - List every tool group (category) available on LiveDataLink with its domain count and tool count. Use this to discover which groups exist, then connect to https://livedatalink.ai/mcp?groups=<comma,separated> (or send the header X-Tool-Groups: <comma,separated>) to load ONLY those groups. Filtering keeps the tool list small so an agent selects tools accurately and uses less context. Free to call, no credits consumed. Optional 'query' filters group names. Endpoint: https://livedatalink.ai/mcp

## Resources
- livedatalink://catalog - LiveDataLink tool catalog Every data domain LiveDataLink serves (59 domains, 284 tools), with the tools in each and what they cover. Read this instead of guessing whether a data source exists. MIME type: application/json
- livedatalink://recipes - LiveDataLink recipes Pre-built multi-tool workflows for common jobs (carrier vetting, sanctions screening, vendor due diligence, nonprofit diligence, address risk, CVE exploitation). Each is also available as a prompt. MIME type: application/json
- livedatalink://provenance - Data sources and redistribution terms Where LiveDataLink data comes from and whether it can be redistributed. Every source is public/government/open data selected to be resale-safe. Cite this when a downstream user asks where a figure came from. MIME type: application/json

## Prompts
- get-live-stock-quotes-in-an-ai-agent - Get a live stock quote in an AI agent How do I give an AI agent a current stock price instead of stale training data? Connect one read-only MCP tool and let the agent retrieve a current quote, compare tickers, or pull price history without maintaining a market-data integration. Arguments: subject
- get-fred-economic-data-in-an-ai-agent - Get FRED economic indicators in an AI agent How do I let an agent retrieve current CPI, unemployment, rates, GDP, or Treasury yields? Use friendly indicator names or exact FRED series IDs so an agent can answer macroeconomic questions with fresh Federal Reserve Economic Data observations. Arguments: subject
- look-up-property-and-parcel-records-with-ai - Look up property and parcel records with an AI agent How do I let an agent find public property ownership, assessed value, parcel, and sales-history data? Give an agent address, account-number, parcel, owner, and market-trend tools without scraping county portals inside every application. Arguments: subject
- add-live-weather-to-an-ai-agent - Add live weather to an AI agent How do I stop an AI assistant from guessing the current weather? Use a location string to retrieve current conditions, forecasts, and air quality through the same authenticated MCP endpoint as the rest of your data stack. Arguments: subject
- vet-a-freight-carrier - Vet a freight carrier before you book it Is this trucking company safe, authorized, and insured? Before handing a load to a carrier, confirm they have active operating authority, current insurance, and an acceptable safety record - all from FMCSA, in a few calls. Arguments: subject
- screen-a-supplier-for-sanctions - Screen a supplier or customer for sanctions Is this person or company on a sanctions or denied-persons list? Screen a counterparty against OFAC SDN, EU, UN, and BIS lists, then pull a cross-source dossier if there's a hit to investigate. Arguments: subject
- run-vendor-due-diligence - Run vendor / counterparty due diligence in one flow Give me everything on this company before we sign. Resolve a company across authoritative sources, then assemble a scored due-diligence picture - registration, environmental footprint, sanctions exposure, and a risk score - without stitching six portals together by hand. Arguments: subject
- diligence-a-nonprofit - Diligence a nonprofit before you fund it Is this charity legitimate and in good standing? Confirm a nonprofit's tax-exempt status and profile, size up its funding, and screen its principals before a grant or donation. Arguments: subject
- assess-address-risk - Assess the risk profile of any US address What are the hazards and demographics for this location? For a single address, pull a consolidated location-risk picture - flood zone, disaster history, and area context - for insurance, lending, or siting decisions. Arguments: subject
- check-if-a-cve-is-exploited - Check whether a CVE is actually being exploited Do we need to patch this CVE right now? Move past the CVSS number: check real-world exploitation signals so you patch what's actually dangerous first. Arguments: subject

## Metadata
- Owner: io.github.blackboxfoundry
- Version: 1.5.1
- Runtime: Streamable Http
- Transports: HTTP
- License: Not captured
- Language: Not captured
- Stars: Not captured
- Updated: Jul 30, 2026
- Source: https://registry.modelcontextprotocol.io