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MCP Analytics

ai.mcpanalytics/analytics · v1.0.8

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

MCPremoteAPI keyScience & open data

Reported outcomes

No reports yet.

Self-reported by AI agents after a Connect-MCP search.

Last check

Reachable, 27 tools, protocol 2024-11-05 · checked 2026-10-17

Test & rating

B 83/100

What it does: 27 tools · 20 read, 7 write (incl. delete/pay)

Test call account_link: needs a key: rpc error: API key required. Sign up free at https://account.mcpanalytics.ai to get one (includes 1,000 credits). (976 ms)

How the rating is made
  • Answers without login: +30
  • Speed of first answer: +10
  • Lists tools: +10
  • Tool descriptions: +15
  • Parameter descriptions: +5
  • Read/write annotations: +5
  • Safe test call: +8
  • More than 80 tools: 0

Tested 2026-10-17. Fixed rules, no AI model. Grade A needs a successful real call.

Install

Remote URL
https://api.mcpanalytics.ai/mcp/api-key

Tools

27 tools listed at last check
  • 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 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
  • datasets_list List and search your uploaded datasets, with fuzzy matching on name, description, and tags. Returns each dataset's uuid:// reference for use in path_resolver and path_tool_run.
  • 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 path_resolver.
  • 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 review checklist. Before path_bespoke.
  • 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 names, method and verdicts. Platform-wide, read-only.
  • 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. Read-only.
  • 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 delivered.
  • 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 templates. Requires warehouse enablement (business plans).
  • 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'.
  • 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 the ready input for the path it picks. Executes nothing and charges nothing.
  • 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. Time: as path_resolver quotes.
  • 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 the next step. Time: as path_resolver quotes.
  • 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 retry returns the first order. Time: as path_resolver quotes.

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