# foundation-discovery MCP server Foundation discovery and grant intelligence for nonprofits. 174K+ US funders, IRS 990 data. ## Links - Registry page: https://www.getdrio.com/mcp/io-github-kindora-pbc-foundation-discovery - Repository: https://github.com/Kindora-PBC/kindora - Website: https://www.kindora.co/mcp ## Install - Endpoint: https://kindora-mcp.azurewebsites.net/mcp/ - Auth: Not captured ## Setup notes - Remote endpoint: https://kindora-mcp.azurewebsites.net/mcp/ ## Tools - health_check (Health Check) - Check server health and connectivity. Returns: Dictionary with health status including: - status: "healthy" or "unhealthy" - version: Server version - environment: Current environment (dev/staging/prod) Endpoint: https://kindora-mcp.azurewebsites.net/mcp/ - list_tools (List Available Tools) - List available MCP tools and get detailed help. Use this tool to discover what tools are available and how to use them. Call without parameters to see all tools, or provide a tool name to get detailed help including parameters, examples, and related tools. Args: tool_name: Optional name of a specific tool to get detailed help for. Example: "search_funders", "get_funder_profile" Returns: If called without parameters: - server_name: Name of the MCP server - server_version: Current version - total_tools: Number of available tools - tier: Current access tier (free) - rate_limit: Rate limit information - tools: List of available tools with names, descriptions, and examples If called with tool_name: - tool: Detailed tool information including: - name: Tool name - description: What the tool does - parameters: List of parameters with types, descriptions, and examples - examples: Example usage - related_tools: Tools that work well together with this one Examples: list_tools() # See all available tools list_tools(tool_name="search_funders") # Get detailed help for search_funders list_tools(tool_name="get_funder_profile") # Get help for get_funder_profile Endpoint: https://kindora-mcp.azurewebsites.net/mcp/ - search_funders (Search Grantmakers) - Look up grantmaking organizations by name, topic, or location. This tool searches 174K+ grantmaking organizations from IRS data using organization names plus grant-purpose/topic signals. Use it when you know the funder's name, want aligned funders for a cause area, or want to browse by location/size/NTEE code. Multi-word searches are ranked by relevance; simple browse/name fallback results are ordered by total assets. IMPORTANT: Use search_open_grants when the user needs active grant programs or RFPs. search_funders is for finding aligned grantmakers, including ones that may fund by relationship, LOI, or annual cycle rather than a live call. Args: query: Search term for a funder name or cause-area phrase. Example: "Ford Foundation", "global health", "community foundation" Topic searches work best with 2+ words. state: Two-letter US state code to filter by funder HQ location. Example: "CA", "NY", "TX" city: City name to filter by (case-insensitive). Example: "San Francisco", "New York" ntee_code: NTEE classification code to filter by. Example: "A20" (Arts Organizations), "B" (Education), "E" (Health) min_assets: Minimum total assets filter in dollars. Example: 10000000 (foundations with $10M+ assets) max_assets: Maximum total assets filter in dollars. Example: 100000000 (foundations with up to $100M assets) has_er_grants: Filter to foundations that make expenditure responsibility grants (grants to non-501(c)(3) entities like PBCs, for-profits, and foreign orgs). Set to True to find only ER-active funders. funder_type: Optional canonical funder_type to include. Examples: "community_foundation", "family_foundation", "corporate_foundation", "private_operating", "operating_nonprofit", "independent_foundation". Use this to narrow to a specific kind of grantmaker. exclude_funder_types: Optional list of canonical funder_type codes to exclude from results. Useful for hiding operating nonprofits that surface with large "annual_grants" but are not actually grantmakers — e.g., exclude_funder_types=["operating_nonprofit"] hides PATH and similar operating organizations. grantee_country_codes: Optional list of FIPS 10-4 country codes (e.g., "UK" for United Kingdom, "IN" for India, "KE" for Kenya, "SF" for South Africa) to restrict to funders whose grantees are located in those countries. Use this when the user is asking for funders that move money into a specific non-US geography. Country here is the grantee's HQ country, derived from foundation_grants. When set, the search is forced through the hybrid path; the ILIKE-only name-match path cannot filter by country. Distinct from `state`, which filters by the funder's own US HQ. country: Optional HQ country name (or list of names) to restrict to funders headquartered in those countries (e.g., "Germany", ["United States", "Canada"]). Distinct from `grantee_country_codes` (where the funder's grants land) and from `state` (US state of HQ). Use when the user asks for funders based in a specific country — e.g. "European-headquartered foundations" → country=["Germany","Spain","United Kingdom", "Switzerland","Netherlands","France"]. US foundations are included only when "United States" (or "USA") is in the list, or when the param is omitted. limit: Maximum number of results to return. Default: 20, Maximum: 50 Returns: Dictionary containing: - results: List of matching foundations with ein, name, city, state, total_assets, annual_grants, website_url, has_er_grants, has_pris, funder_type (when populated), topic_match_count (when query takes the hybrid topic-search path — see below) - total_returned: Number of results returned - query_params: The search parameters used - note: Helpful context about the results topic_match_count is the number of distinct grant-purpose strings under this funder that matched the FTS query. It surfaces only on topical searches (multi-word queries that route to the hybrid path) and only for 990-filer rows; ILIKE-only and non-990 rows omit the field. Rule of thumb: - topic_match_count == 1 → single tangential grant, often noise (e.g. a credit-union foundation surfacing for "telemedicine" because of one passing-mention grant) - topic_match_count >= 3 → substantive topical coverage Examples: search_funders(query="community foundation", state="CA") search_funders(query="global health", min_assets=100000000) search_funders(ntee_code="E", min_assets=50000000) search_funders(state="NY", city="New York", limit=10) search_funders(has_er_grants=True, state="CA") search_funders(funder_type="community_foundation", state="CA") search_funders(query="PATH", exclude_funder_types=["operating_nonprofit"]) search_funders(query="global health", grantee_country_codes=["IN"]) search_funders(query="climate resilience", grantee_country_codes=["KE", "SF"]) search_funders(query="youth education", country="Germany") search_funders(country=["Germany","Spain","Netherlands"]) Endpoint: https://kindora-mcp.azurewebsites.net/mcp/ - get_funder_profile (Get Foundation Profile) - Get detailed profile information for a specific foundation. This tool retrieves comprehensive profile data for a foundation using its EIN (Employer Identification Number). Use this after searching for foundations to get detailed information about a specific funder. Args: ein: Foundation EIN (9 digits). Can include hyphens (e.g., "94-3136777") or be provided as digits only (e.g., "943136777"). Returns: Dictionary containing: - ein: The normalized 9-digit EIN - profile: Foundation profile data including: - legal_name: Official foundation name - location: City and state - financials: Total assets and annual grants (raw and formatted) - leadership: CEO/President name if available - classification: Foundation type and NTEE code - contact: Website URL if available - note: Suggestions for related tools to explore Examples: get_funder_profile(ein="943136777") get_funder_profile(ein="94-3136777") Related tools: - search_funders: Find foundation EINs by name or location - get_990_summary: Get financial trends over time - get_foundation_grants: See grants made by this foundation Endpoint: https://kindora-mcp.azurewebsites.net/mcp/ - get_990_summary (Get IRS 990 Summary) - Get IRS 990 filing summary and financial trends for a foundation. This tool retrieves IRS 990 filing data (Form 990 or 990-PF) for a foundation, showing financial information over time. It calculates year-over-year trends for assets, grants, and revenue. Args: ein: Foundation EIN (9 digits). Can include hyphens (e.g., "94-3136777") or be provided as digits only (e.g., "943136777"). years: Number of years of filing data to return. Default: 5, Minimum: 1, Maximum: 10 Returns: Dictionary containing: - ein: The normalized 9-digit EIN - foundation_name: Foundation name if found - filings_count: Number of filings returned - filings: List of annual filing data including: - filing_year: Tax year of the filing - total_revenue: Total revenue for the year - total_assets_eoy: Total assets at end of year - total_grants_paid: Total grants paid during year - mission_description: Foundation's stated mission - trends: Year-over-year trend analysis for: - assets: Asset growth/decline analysis - grants: Grantmaking trend analysis - revenue: Revenue trend analysis - summary: Human-readable trend summary - note: Suggestions for related tools Examples: get_990_summary(ein="943136777") get_990_summary(ein="94-3136777", years=3) Related tools: - get_funder_profile: Get foundation profile information - get_foundation_grants: See specific grants made - get_funder_stats: Get aggregate giving statistics Endpoint: https://kindora-mcp.azurewebsites.net/mcp/ - get_foundation_grants (Get Foundation Grants) - View grants made by a foundation from IRS 990-PF filings. This tool retrieves individual grants made by a private foundation, showing recipient organizations, amounts, and purposes. Results are ordered by grant amount (largest first) and include aggregate statistics. Each grant also reports the recipient's country and US state when populated, so you can answer questions like "show me Gates grants to India recipients" or "show me Gates grants whose purpose mentions vaccines". Note: recipient_country reflects the recipient organization's HQ country (where the grantee is registered), not necessarily where program work is implemented. Args: ein: Foundation EIN (9 digits). Can include hyphens (e.g., "94-3136777") or be provided as digits only (e.g., "943136777"). year: Optional filing year to filter by (e.g., 2023). If not provided, returns grants from all available years. ntee_code: Optional NTEE code to filter recipient organizations. Example: "B41" (Higher Education), "E" (Health). Use get_ntee_codes to browse available codes. recipient_country: Optional recipient country filter. Use ISO 3166-1 alpha-2 codes (e.g., "CH" Switzerland, "ZA" South Africa, "NG" Nigeria, "IN" India). Legacy FIPS 10-4 codes ("SZ", "SF", "NI") are also accepted for back-compat; output codes are emitted in ISO 3166. recipient_state: Optional 2-letter US state code to filter by recipient state (e.g., "CA", "NY"). purpose_keyword: Optional case-insensitive substring to match against the grant_purpose field. Useful for narrowing to a topic when recipient NTEE code is too coarse — e.g., purpose_keyword="vaccine" surfaces Gates grants whose purpose text mentions vaccines, even when the recipient is classified outside health (universities, think tanks, etc.). limit: Maximum number of grants to return. Default: 20, Minimum: 1, Maximum: 50 Returns: Dictionary containing: - ein: The normalized 9-digit EIN - foundation_name: Foundation name if found - grants_returned: Number of grants in response - grants: List of individual grants including: - recipient_name: Name of the grant recipient - grant_amount: Grant amount in dollars (raw and formatted) - grant_purpose: Stated purpose of the grant - filing_year: Tax year when grant was reported - recipient_ntee_code: NTEE code of recipient (if matched) - recipient_country: Recipient HQ country (omitted if null) - recipient_state: Recipient 2-letter US state (omitted if null) - aggregate_stats: Statistics about the returned grants: - total_amount_in_results: Sum of all grant amounts - average_grant_size: Mean grant amount - median_grant_size: Median grant amount - min/max_grant_size: Range of grant amounts - years_covered: List of filing years in results - top_recipient_ntee_codes: Most common recipient categories - query_params: The filter parameters used - note: Suggestions for related tools Examples: get_foundation_grants(ein="943136777") get_foundation_grants(ein="94-3136777", year=2023) get_foundation_grants(ein="943136777", ntee_code="B41", limit=10) get_foundation_grants(ein="562618866", recipient_country="IN", limit=10) get_foundation_grants(ein="562618866", recipient_state="CA", limit=10) get_foundation_grants(ein="562618866", purpose_keyword="vaccine", limit=10) get_foundation_grants(ein="562618866", purpose_keyword="digital health", limit=10) Related tools: - get_funder_profile: Get foundation profile information - get_990_summary: Get financial trends over time - get_funder_stats: Get comprehensive giving statistics - get_ntee_codes: Browse NTEE classification codes Endpoint: https://kindora-mcp.azurewebsites.net/mcp/ - get_ntee_codes (Browse NTEE Codes) - Browse NTEE (National Taxonomy of Exempt Entities) classification codes. NTEE codes are used to classify nonprofit organizations by their primary purpose. This tool helps you find the right NTEE code for searching or understanding a foundation's focus area. Args: category: Single letter (A-Z) to browse codes in a major category. Example: "A" for Arts, Culture & Humanities "B" for Education "E" for Health Care "P" for Human Services query: Search term to find codes by description (case-insensitive). Example: "education", "youth", "environment" Returns: If called with no parameters: - categories: List of all 26 major NTEE categories with descriptions - usage: Examples of how to use the tool If called with category or query: - codes_returned: Number of matching codes - codes: List of NTEE codes including: - code: The NTEE code (e.g., "A20", "B41", "E20") - description: What the code represents - category: Major category letter - category_name: Human-readable category name - level: Hierarchy level (major_category, category, subcategory) - query_params: The parameters used - category_reference: Dictionary of all major categories Examples: get_ntee_codes() # Browse all major categories get_ntee_codes(category="E") # All Health Care codes get_ntee_codes(category="B") # All Education codes get_ntee_codes(query="education") # Search for education-related codes get_ntee_codes(query="youth development") # Search for youth codes NTEE Major Categories: A - Arts, Culture & Humanities B - Education C - Environment D - Animal-Related E - Health Care F - Mental Health & Crisis Intervention G - Diseases, Disorders & Medical Disciplines H - Medical Research I - Crime & Legal-Related J - Employment K - Food, Agriculture & Nutrition L - Housing & Shelter M - Public Safety, Disaster Preparedness & Relief N - Recreation & Sports O - Youth Development P - Human Services Q - International, Foreign Affairs & National Security R - Civil Rights, Social Action & Advocacy S - Community Improvement & Capacity Building T - Philanthropy, Voluntarism & Grantmaking Foundations U - Science & Technology V - Social Science W - Public & Societal Benefit X - Religion-Related Y - Mutual & Membership Benefit Z - Unknown Related tools: - search_funders: Use NTEE code to filter foundation searches - get_foundation_grants: Filter grants by recipient NTEE code - get_funder_profile: See a foundation's NTEE classification Endpoint: https://kindora-mcp.azurewebsites.net/mcp/ - search_open_grants (Search Open Grants) - Search open grant opportunities from Kindora's active foundation-program corpus and federal government grants. Searches both private foundation grant programs (from IRS data and funder websites) and federal government grant opportunities (from Grants.gov). Uses full-text search with natural language understanding — queries are parsed into individual terms with stemming, so "youth after school programs" matches programs about youth, after-school, and programming even if those exact words don't appear together. Search covers program names, descriptions, focus areas, beneficiary types, and geographic focus fields. Use the state parameter to focus on geographically relevant opportunities. Query syntax: - Natural language: "affordable housing for seniors" (matches any of these terms) - Quoted phrases: '"after school"' (matches exact phrase) - Exclusion: "education -higher" (matches education, excludes higher education) - Combine: '"mental health" youth -adult' (phrase + term + exclusion) - No query: returns broadly open programs sorted by upcoming deadlines (browsing mode) Args: query: Natural language search query. Searches across program names, descriptions, focus areas, beneficiary types, and geographic focus. Supports quoted phrases for exact matching and -term for exclusion. Example: "youth outdoor education", "affordable housing", "STEM education for girls", "food bank hunger", "climate change environment", "domestic violence women" focus_area: Filter foundation programs by focus area (matches values in focus_areas array). Example: "Education", "Health", "Environment" agency: Filter government grants by agency name (case-insensitive). Example: "Department of Education", "NSF", "NIH" state: Two-letter US state code to filter by geographic relevance. Returns programs focused on that state plus nationally available programs. Example: "CA", "NY", "TX" country: Country name for non-US geographic filtering. Returns programs whose geographic_focus is tagged for that country plus any tagged Global / International / Worldwide. Use this instead of state for international queries — passing "India" via state would error because state requires a US code. Mixing state with a non-US country is rejected. Example: "India", "Kenya", "Mexico", "Global" deadline_days: How far ahead to search for deadlines, in days. Default: 90 (3 months). Maximum: 365 (1 year). Rolling/always-open programs are always included regardless. min_award: Minimum grant size filter in dollars. Example: 50000 (grants of $50K+) max_award: Maximum grant size filter in dollars. Example: 500000 (grants up to $500K) nonprofit_only: Only show nonprofit-eligible government grants. Default: True source: Filter by grant source type. Options: "foundation" (private foundation programs only), "government" (federal grants only), or omit for both sources combined. PREFER omitting this — the foundation corpus is much larger, and filtering to government-only often returns few or zero results. limit: Maximum number of results to return. Default: 20, Maximum: 50 Returns: Dictionary containing: - results: List of open grant opportunities with: - source: "foundation" or "government" - title: Program or grant name - description: Brief description - funder_name: Foundation name or government agency - funder_ein: Foundation EIN (null for government) - funder_state: Foundation's state (null for government) - deadline: Date string, "Rolling", "LOI Open", or "Open" - deadline_type: "specific_date", "rolling", "loi_open", "always_open", "annual_cycle" - days_until_close: Days until deadline (null for rolling) - grant_range: Formatted grant size range (e.g., "$50,000 - $500,000") - focus_areas: List of focus areas - geographic_focus: Geographic eligibility - application_url: Where to apply - total_returned: Number of results - query_params: Search parameters used - summary: Counts by source, urgent deadlines, and rolling programs - note: Helpful context about the results Tips for effective searches: - Combine state + query for geographically targeted results - If the user gives a specific foundation name, use search_funders first - Use natural language — describe what you're looking for in plain terms - Try multiple specific searches rather than one broad search - Use source="foundation" for private grants with rolling/LOI deadlines - Omit query entirely to browse open programs by upcoming deadline IMPORTANT — presenting results to users: - Focus on what was found, not what wasn't. Present results positively. - Do NOT comment on corpus size, data limitations, or coverage gaps. - If few results are returned, suggest trying related keywords or using search_funders to find aligned foundations — many accept unsolicited inquiries or run annual grant cycles that may not have an open window right now. Frame this as "here are additional prospects to explore" not "the search didn't find enough." - Many excellent funders don't post public open calls — they fund through relationships, LOIs, and nominations. Use search_funders and get_funder_profile to identify these funders as proactive prospects. Examples: search_open_grants(query="youth outdoor education", state="CA") search_open_grants(query="affordable housing", state="NY", source="foundation") search_open_grants(query="STEM education for girls", state="TX") search_open_grants(query="food bank hunger", min_award=10000) search_open_grants(query="mental health services", state="CA") search_open_grants(query="climate change environment", source="foundation") search_open_grants(source="government", nonprofit_only=True, state="NY") search_open_grants(focus_area="Environment", source="foundation") search_open_grants(query="community health workers", country="India") search_open_grants(query="climate resilience", country="Global") search_open_grants() # Browse open programs by upcoming deadline Related tools: - search_funders: Find grantmaking organizations by name or location — use this alongside search_open_grants to identify foundations that may be a good fit even if they don't have a posted open grant right now - get_funder_profile: Get detailed profile for a specific foundation - get_foundation_grants: See past grants made by a foundation Endpoint: https://kindora-mcp.azurewebsites.net/mcp/ - search_funder_jobs (Search Funder Jobs) - Search OPEN PHILANTHROPY JOBS at grantmaking foundations. Surfaces roles involved in giving away money, running philanthropic programs, or executive leadership of philanthropic work. Backed by a weekly scrape of ~50K funder careers pages + GPT-5.4-mini classification against an 8-category taxonomy. Categories (use the `category` param to filter): - grantmaking: Program officers, grants managers, RFP reviewers - program_leadership: VP Programs, Chief Program Officer, Program Director (cause-area) - executive_leadership: CEO, President, Executive Director at a foundation or community foundation - philanthropy_operations: Foundation finance/HR/IT/COO - program_support: Program associates, M&E officers, learning officers, program coordinators - development_for_grantmaking: Major gifts officers and development roles at community foundations and other regranting entities (NOT university or hospital development for the parent's operations) - philanthropy_communications: Foundation comms staff - philanthropy_strategy: Chief Strategy Officer, impact officer, equity & inclusion at a foundation What's excluded by design: clinical/medical, retail, academic teaching, university advancement for the university itself, hospital fundraising for hospital ops, construction/facilities. Args: query: Keyword search on job title (case-insensitive substring). Examples: "program officer", "grants manager", "CEO", "communications director". state: 2-letter US state code (e.g., "CA", "NY"). Uses a broad SQL prefilter plus an exact token-aware post-filter against the location field. funder_ein: Restrict to one funder by EIN (9 digits, optional prefixes/dashes accepted). funder_eins: Restrict to a LIST of funder EINs (up to 100). The recommended compositional pattern is search_funders → search_funder_jobs(funder_eins=[...]) for cause-area searches (climate, racial equity, youth, etc.) where the cause isn't captured by the 8 role-family categories. category: One of the 8 philanthropy categories above. employment_type: full-time | part-time | contract | internship | fellowship | temporary. remote: remote | hybrid | on-site. posted_within_days: Recency window. Rows with NULL posted_at (common for HTML-scraped postings) are always kept. Default 365. limit: Max results (1-50). Default 20. Returns: Dictionary with `results` (list of jobs — title, funder_name, funder_ein, funder_kindora_url, location, remote_status, employment_type, philanthropy_category, posted_at, days_since_posted, apply_url, source), `total_returned`, `summary` (category_breakdown + remote_breakdown + posted_within_30_days), `query_params`, and `note`. Examples: search_funder_jobs(query="program officer") search_funder_jobs(category="grantmaking", state="NY") search_funder_jobs(category="executive_leadership", remote="remote") search_funder_jobs(funder_ein="131684331") # Ford Foundation only search_funder_jobs(employment_type="fellowship") search_funder_jobs() # Browse recent philanthropy jobs # Cause-area pattern (two-step composition): # Step 1: eins = search_funders(query="climate")["results"][:30].pluck("ein") # Step 2: search_funder_jobs(funder_eins=eins, category="grantmaking") Related tools: - search_funders: Find the grantmaking organizations themselves (use this FIRST for cause-area searches, then pass EINs to search_funder_jobs via `funder_eins`) - get_funder_profile: Detailed profile for one foundation - search_open_grants: Find open grant programs (not jobs) Endpoint: https://kindora-mcp.azurewebsites.net/mcp/ - get_funder_stats (Get Funder Statistics) - Get comprehensive giving statistics for a foundation. This tool calculates aggregate statistics about a foundation's grantmaking from IRS 990-PF data. It provides lifetime totals, focus areas, geographic distribution, and year-over-year trends. Args: ein: Foundation EIN (9 digits). Can include hyphens (e.g., "94-3136777") or be provided as digits only (e.g., "943136777"). Returns: Dictionary containing: - ein: The normalized 9-digit EIN - foundation_name: Foundation name if found - giving_stats: Aggregate giving statistics: - total_grants: Total number of grants made - total_amount: Total dollars granted (raw and formatted) - average_grant: Mean grant size (raw and formatted) - median_grant: Median grant size (raw and formatted) - min_grant/max_grant: Range of grant sizes - focus_areas: NTEE code distribution showing: - top_ntee_codes: Top 10 categories funded with counts and amounts - total_ntee_codes_funded: Number of unique categories - geographic_distribution: Where grants went: - states: Top 10 US states by grant count. Each entry includes grant_count, total_amount, and avg_grant_amount (per-grant mean within that state). - countries: Top 10 recipient-HQ countries by grant count, keyed by ISO 3166-1 alpha-2 code (e.g. "CH" Switzerland, "ZA" South Africa, "NG" Nigeria). Each entry includes grant_count, total_amount, and avg_grant_amount — the per-country mean is prospect-targeting signal: a country with markedly higher avg than the US recipient bucket often indicates a different funding pattern (large global health intermediaries, multi-year capacity grants, etc.). Reflects recipient HQ, NOT implementation geography — many globally operating grantees are HQ'd in the US. - regions: Summary by US Census region (Northeast, Midwest, South, West) - non_us_recipient_pct: Percentage of grants (with country populated) that went to non-US-headquartered recipients - total_states_funded: Number of unique states - total_countries_funded: Number of unique recipient-HQ countries - yearly_breakdown: Year-by-year giving history: - Each year shows grant count, total amount, and average grant - year_over_year_trends: Trend analysis: - trend_direction: "increasing", "decreasing", or "stable" - yoy_changes: Detailed changes between consecutive years - data_quality: Information about data completeness: - years_of_data: How many years of grant data exist - year_range: Earliest and latest years in data - completeness: Percentage of grants with amounts, NTEE codes, states, and countries Examples: get_funder_stats(ein="943136777") get_funder_stats(ein="94-3136777") Related tools: - get_funder_profile: Get foundation profile information - get_990_summary: Get financial trends (assets, revenue) - get_foundation_grants: See individual grants - get_ntee_codes: Look up what NTEE codes mean Endpoint: https://kindora-mcp.azurewebsites.net/mcp/ ## Resources Not captured ## Prompts Not captured ## Metadata - Owner: io.github.Kindora-PBC - Version: 0.1.0 - Runtime: Streamable Http - Transports: HTTP - License: Not captured - Language: Not captured - Stars: Not captured - Updated: Apr 28, 2026 - Source: https://registry.modelcontextprotocol.io