MCP Analytics

Install

Pick the AI app you use, then copy the settings.

Passed 5/5 checks · What you ask goes through the maker’s server (api.mcpanalytics.ai)

claude mcp add --transport http --scope user analytics https://api.mcpanalytics.ai/mcp/api-key --header 'X-API-Key: your-value'

{
  "mcpServers": {
    "analytics": {
      "url": "https://api.mcpanalytics.ai/mcp/api-key",
      "headers": {
        "X-API-Key": "your-value"
      }
    }
  }
}

{
  "servers": {
    "analytics": {
      "type": "http",
      "url": "https://api.mcpanalytics.ai/mcp/api-key",
      "headers": {
        "X-API-Key": "your-value"
      }
    }
  }
}

Which apps can use it

Based on how this server connects and on each app’s own docs, checked Nov 10, 2026.

Connect over the internet in

ClaudeGooseLM StudioMsty StudioCherry StudioCursorVS Code + GitHub CopilotVisual StudioWindsurf (Devin Desktop)ZedKiroClineContinueJetBrains AI AssistantClaude CodeCodex CLIGemini CLIOpenCodenodecodeWarpLibreChatOpen WebUIRaycast

All apps, with pros and cons →

What it can do

Tool names and descriptions exactly as the server reported them on Nov 11, 2026. The maker wrote them, not us; we show them as plain 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 upload link for a file only the user can reach. Add replace_ref (uuid://ID:KEY) with data to REFRESH an existing dataset in

• 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 as dataset_ref in path_resolver and path_tool_run. The id alone ('uuid://dsv2_...') also works for your own datasets an

• 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. package_id may also be the person's own report link (a /rpt/ link or its rpt_ token) or estimate id (est_); it reruns their newest delivered package for it. Time: as path_res

• 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. No key yet? Call it with objective and data (a small table, up to 200 rows

• 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.

Basic checksi

We check information anyone can see; we have not read the code. Checks that do not apply are left out of the count. · Checked Nov 12, 2026

• ✓ Pass

  Maker matches the repo

  The registry name was verified against the domain mcpanalytics.ai (the registry checks domain ownership)

• ✓ Pass

  Still maintained

  Code last changed 16 days ago

• ✓ Pass

  Has a licence

  Uses MIT

• ✓ Pass

  Endpoint responds

  Responded in 405 ms (HTTP 200)

• – Not applicable

  Sign-in with OAuth

  No sign-in needed

• ✓ Pass

  No hidden instructions in tool descriptions

  Read 27 tool descriptions and found no hidden instructions to the AI

User reviews

No reviews yet

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Compared with others in Marketing & social mediai

• More stars than 96% of the other 3808 servers in this category
• Published to the registry more recently than 51% of the other 3808 servers in this category
• Basic checks equal to or better than 100% of the other 3808 servers in this category

Compared with every active server in this category in the registry. Stars count only when the publisher owns the repo.

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README from the maker

{

claude mcp add --transport http mcpanalytics https://api.mcpanalytics.ai/mcp/api-key --header "X-API-Key: mcp_your_key_here"

curl -X POST https://api.mcpanalytics.ai/mcp/api-key \