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MCP Analytics

Run data analyses with reusable reports

1871 ms

answered our call

State
Answered
Protocol
MCP 2024-11-05
Tools listed
27
Answered
3 of the last 3 calls

How to reach it

  • MCP, HTTPhttps://api.mcpanalytics.ai/mcp/api-keyNeeds header X-API-Key

What it can do

ToolWhat it says it does
aboutPlatform documentation and info: how it works (Answer, Analytics, Custom Analytics), usage.
account_linkDirect 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.
adjust_estimateApply the user's layout wishes to the estimate's page through the layout agent; a new named arrangement, nothing overwritten, no number changes.
agent_advisorAI help desk: which analysis fits your question, interpreting results, fixing errors. Multi-turn.
ask_libraryAsk a question across all your delivered analyses: a synthesized answer with citations back to specific reports.
build_statusCheck 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.
check_tool_fitBefore 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.
datasets_listList 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 and the platform…
datasets_uploadGet 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…
discover_toolsBrowse 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.
find_precedentBefore 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.
my_objectsList and search the objects you own across every question: the curated charts, tables and figures of each delivered package, grouped by objective.
package_statusRead an analytics package back: status, every run under it, the report link once delivered.
path_answerA 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): a read of that…
path_bespokeOrder 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.
path_estimateA 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_rerunRun 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_resolver quotes.
path_resolverWhich 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_reuseHand back the report already delivered for this question on this data. Time: as path_resolver quotes.
path_tool_runRun one or more tested library tools on this dataset, with charts and a written report. No custom build. Time: as path_resolver quotes.
report_cardsBrowse a delivered report's individual cards (charts, tables, insights) inline in chat.
reports_listYour report library: every analysis delivered, with status and links. Pass semantic_query to search report content in plain language.
reports_viewGet a shareable browser link for a report, viewable without authentication.
review_estimateThe 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.
schedulesStanding 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'.
tools_schemaGet an analysis's parameter schema. ALWAYS call before path_tool_run.
warehouseQuery 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).

In its maker's words

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

Website
mcpanalytics.ai
Source
github.com/embeddedlayers/mcp-analytics
Publisher
mcpanalytics.ai
Listed from
the official MCP Registry as ai.mcpanalytics/analytics
Version
1.0.8, updated 15 Oct 2026
Kinds of work
Search and research, Data and databases, Documents and files

The domain it lives on

mcpanalytics.ai
registered 22 Aug 2025 (1 year ago), at Key-Systems GmbH, its name does not resolve now

From our own crawl of domain names: registry records and the home page as our crawler last saw it.

Every call we made

WhenWhat happenedTime
Answered1871 ms
Answered1733 ms
Answered478 ms

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