# analytics MCP server

The statistical analyst in your AI chat — validated, citable, re-runnable analysis of your data.

## Links
- Registry page: https://www.getdrio.com/mcp/ai-mcpanalytics-analytics
- Repository: https://github.com/embeddedlayers/mcp-analytics

## Install
- Endpoint: https://api.mcpanalytics.ai/auth0
- Auth: Not captured

## Setup notes
- Remote endpoint: https://api.mcpanalytics.ai/auth0
- Remote endpoint: https://api.mcpanalytics.ai/mcp/api-key

## Tools
- account_link - Direct link to the right account page for anything not doable in chat — billing, browser upload, report management. Hand the user the link and guide them. Endpoint: https://api.mcpanalytics.ai/mcp/api-key
- about - Platform documentation and info — how it works, tiers, usage. Endpoint: https://api.mcpanalytics.ai/mcp/api-key
- agent_advisor - AI help desk — which analysis fits your question, interpreting results, fixing errors. Multi-turn. Endpoint: https://api.mcpanalytics.ai/mcp/api-key
- datasets_upload - Get your data in. Pass `data` as an array of row objects to create the dataset immediately and get a dataset_ref ready for create_analysis; omit it to get an upload link for a file only the user can reach. Add replace_ref (uuid://ID:KEY) with data to REFRESH an existing dataset in place — schedules and tools holding that reference read the new data on their next run. Endpoint: https://api.mcpanalytics.ai/mcp/api-key
- datasets_list - List and search your uploaded datasets — fuzzy matching on name, description, and tags. Returns each dataset's uuid:// reference for use in create_analysis and run_analysis. Endpoint: https://api.mcpanalytics.ai/mcp/api-key
- discover_tools - Browse the analyses you can run — the ones you commissioned plus the platform Standard Library (prebuilt tools; each result tagged source:'own' or 'standard_library'). Plain-language match; no query lists everything, your own first. Nothing fits? Commission it with create_analysis. Endpoint: https://api.mcpanalytics.ai/mcp/api-key
- tools_schema - Get an analysis's parameter schema — ALWAYS call before run_analysis. Endpoint: https://api.mcpanalytics.ai/mcp/api-key
- run_analysis - Run an analysis on your data. Returns a shareable interactive report URL — validated statistics you can cite, re-run, and share. Endpoint: https://api.mcpanalytics.ai/mcp/api-key
- create_analysis - Commission a NEW analysis built for your question. tier is REQUIRED — the user picks. Easiest: fuzzy_request (plain language) + dataset_ref + tier. Snapshot = instant automated report (~2-10 min). JSON = a fast computed answer, numbers + method, re-runnable tool you own (~5 min). Brief = the computed answer on a one-page report — chart, numbers, method (~7 min). Deck = commissioned deep analysis, a durable re-runnable module you own (30-45 min). Failed builds are never billed. Endpoint: https://api.mcpanalytics.ai/mcp/api-key
- modify_analysis - Modify an EXISTING analysis into a new version — reword the question, swap the method, or add a variable. Pass tool_name + changes (plain language). Rebuilds on the analysis's own dataset by default; the original stays put. Returns pipeline tracking — follow with build_status. Endpoint: https://api.mcpanalytics.ai/mcp/api-key
- build_status - Check a commissioned build in-chat: stage progress, queue position, rejection reason if the data didn't match the objective, honest ETA, report link when delivered. Endpoint: https://api.mcpanalytics.ai/mcp/api-key
- ask_library - Ask a question across all your delivered analyses — synthesized answer with citations back to specific reports. Endpoint: https://api.mcpanalytics.ai/mcp/api-key
- reports_list - Your report library — every analysis delivered, with status and links. Pass semantic_query to search report content in plain language. Endpoint: https://api.mcpanalytics.ai/mcp/api-key
- warehouse - Query your org's data warehouse free: browse the catalog (tables with column roles + computed metrics), semantically find data, plain-language ask, or named templates. Requires warehouse enablement (business plans). Endpoint: https://api.mcpanalytics.ai/mcp/api-key
- schedules - Standing re-runs of analyses you own: action='create' (weekly/monthly against a re-runnable data reference — connector:// or an https:// link; report emailed after each run), 'list', or 'cancel'. Endpoint: https://api.mcpanalytics.ai/mcp/api-key
- reports_view - Get a shareable browser link for a report — viewable without authentication. Endpoint: https://api.mcpanalytics.ai/mcp/api-key
- report_cards - Browse a delivered report's individual cards (charts, tables, insights) inline in chat. Endpoint: https://api.mcpanalytics.ai/mcp/api-key

## Resources
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## Prompts
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## Metadata
- Owner: ai.mcpanalytics
- Version: 1.0.7
- Runtime: Streamable Http
- Transports: HTTP
- License: Not captured
- Language: Not captured
- Stars: Not captured
- Updated: Aug 2, 2026
- Source: https://registry.modelcontextprotocol.io