servers / ai-mcpanalytics-analytics
ai.mcpanalytics/analytics MCP server
communitystreamable_httpremotewrite capablehealthy
The statistical analyst in your AI chat — validated, citable, re-runnable analysis of your data.
01Tools · 17
How to read this: tool names here are observed from a live tools/list handshake. The Risk label is a heuristic inferred from the tool name (write/destructive verbs), not from executing the tool — a conservative guess, not a verified capability. We never escalate risk from a description. Found one that's wrong? Tell us — we fix on report.
| Tool | Risk | Side effects | Approval |
|---|---|---|---|
| reports_view Get a shareable browser link for a report — viewable without authentication. | read | false | unknown |
| 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. | read | false | unknown |
| 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. | read | false | unknown |
| tools_schema Get an analysis's parameter schema — ALWAYS call before run_analysis. | read | false | unknown |
| about Platform documentation and info — how it works, tiers, usage. | read | false | unknown |
| run_analysis Run an analysis on your data. Returns a shareable interactive report URL — validated statistics you can cite, re-run, and share. | write | true | unknown |
| 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. | write | true | unknown |
| report_cards Browse a delivered report's individual cards (charts, tables, insights) inline in chat. | read | false | unknown |
| 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. | write | true | unknown |
| agent_advisor AI help desk — which analysis fits your question, interpreting results, fixing errors. Multi-turn. | unknown | unknown | unknown |
| reports_list Your report library — every analysis delivered, with status and links. Pass semantic_query to search report content in plain language. | read | false | unknown |
| 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). | read | false | unknown |
| ask_library Ask a question across all your delivered analyses — synthesized answer with citations back to specific reports. | unknown | unknown | unknown |
| 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. | write | true | unknown |
| 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'. | read | false | unknown |
| 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. | read | false | unknown |
| 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. | unknown | unknown | unknown |
02Install & source
https://api.mcpanalytics.ai/mcp/api-key
remote_urlhttps://api.mcpanalytics.ai/auth0
remote_urlhttps://api.mcpanalytics.ai/mcp/discover
remote_url- repohttps://github.com/embeddedlayers/mcp-analytics
- homepagehttps://api.mcpanalytics.ai/mcp/api-key
- licenseMIT
- adoption7 stars · 1 forks
03Access granted
Process payments · write
The access this server can exercise, inferred from its verified tools — not a declared OAuth scope.
05Provenance & freshness
sourcesOfficial MCP Registry [p1]
last_checked2026-08-21 02:02Z
next_check2026-08-21 05:01Z
cadenceevery 3h
verifiedtools_list:passed handshake:passed metadata:passed tools_list:passed handshake:passed metadata:passed tools_list:passed handshake:passed metadata:passed tools_list:passed
index_statusindex — 9 unique facts >= 5
06Badge
Add the “as seen on MCPExplorer” badge to your README. 
[](https://mcpexplorer.com/servers/ai-mcpanalytics-analytics)
Next step
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