ai.mcpanalytics/analytics

up checked 2026-11-11T11:38:56.167Z

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Publisher-provided title

MCP Analytics

Publisher-provided description

A statistical analyst in your AI chat: bring data and a question, get a citable, re-runnable report.

Summary by lookupd

Runs statistical analyses on uploaded or warehouse data and returns citable, re-runnable reports, charts and tables from a chat question.

Install

Claude Code, remote (streamable-http)

claude mcp add --transport http analytics https://api.mcpanalytics.ai/mcp/api-key

Codex, remote (streamable-http)

codex mcp add analytics --url https://api.mcpanalytics.ai/mcp/api-key

Cursor, remote (streamable-http) → .cursor/mcp.json

{
  "mcpServers": {
    "analytics": {
      "url": "https://api.mcpanalytics.ai/mcp/api-key"
    }
  }
}

Other clients: docs. Or tell your agent: Set up lookupd for me: read https://lookupd.com/agent.md and follow it.

Tools (27 tools)

Publisher-provided text

• 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.
• about Platform documentation and info: how it works (Answer, Analytics, Custom Analytics), usage.
• agent_advisor AI help desk: which analysis fits your question, interpreting results, fixing errors. Multi-turn.
• 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 path_resolver; omit it to get an uplo
• datasets_list List and search your uploaded datasets, with fuzzy matching on name, description, and tags. Returns each dataset's uuid:// reference (the `usage` field) for use
• 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_libr
• tools_schema Get an analysis's parameter schema. ALWAYS call before path_tool_run.
• review_estimate The estimate as you review it WITH the user: the question as understood, the estimated answer (sample, marked), every place and its question, the page link, a r
• adjust_estimate Apply the user's layout wishes to the estimate's page through the layout agent; a new named arrangement, nothing overwritten, no number changes.
• find_precedent Before estimating: how did we answer this objective before, on this data or any data? Prior packages and library runs with their tools, mappings, bespoke module
• check_tool_fit Before naming a library tool: does it fit THIS dataset for THIS question? Column mapping, missing required inputs, method-fit verdict, the places it delivers. R
• package_status Read an analytics package back: status, every run under it, the report link once delivered.
• my_objects List and search the objects you own across every question: the curated charts, tables and figures of each delivered package, grouped by objective.
• 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 delive
• ask_library Ask a question across all your delivered analyses: a synthesized answer with citations back to specific reports.
• reports_list Your report library: every analysis delivered, with status and links. Pass semantic_query to search report content in plain language.
• 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 tem
• 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 aft
• reports_view Get a shareable browser link for a report, viewable without authentication.
• report_cards Browse a delivered report's individual cards (charts, tables, insights) inline in chat.
• path_resolver Which path a question about data should take (reuse, rerun, answer, tool_run, estimate, bespoke, ask or none), with the reason, every path's score and time, and
• path_reuse Hand back the report already delivered for this question on this data. Time: as path_resolver quotes.
• path_rerun Run a delivered analysis again, on its own dataset or a new one: the same tools and mappings, no rebuild. package_id may also be the person's own report link (a
• path_answer A read of the data (a total, an average, a count, the top group), computed on every row, in this response. When the question is not a read it says so and names
• path_tool_run Run one or more tested library tools on this dataset, with charts and a written report. No custom build. Time: as path_resolver quotes.
• path_estimate A rough answer over a sample and the layout of the full report, for the person to confirm before anything is ordered. Time: as path_resolver quotes.
• path_bespoke Order a custom analysis built for this data from a confirmed estimate, optionally with library tools alongside. Needs the person's yes and an idempotency key; a

Details

• Version: 1.0.8
• Transports: streamable-http
• Uptime (7 days): 100%
• Median latency: 664 ms
• First indexed: 2026-11-01T08:50:32.088Z
• Last seen in registry: 2026-11-01T08:50:32.178Z
• Repository: https://github.com/embeddedlayers/mcp-analytics
• Website: https://mcpanalytics.ai

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