MCP Analytics

ai.mcpanalyticsPublished by mcpanalytics.aiOfficial publisherv1.0.8Updated Oct 24, 2026

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

VerifiedStreamable HTTPWeb executableDatabasesData & Analytics

Overview

AI-generated overview

Remote MCP server that acts as a statistical analyst: upload data, ask a business question, and get a citable, re-runnable report.

What you can do
  • Upload, list and search datasets, and refresh an existing dataset in place
  • Route a question to the right path (reuse, rerun, quick answer, library tool run, estimate or custom build) without executing anything
  • Run quick reads of the data, tested library analyses, or order a custom build from a confirmed estimate
  • Review and adjust report estimates, check tool fit and find precedents before running
  • Browse delivered reports, their cards and shareable links, and ask questions across all delivered analyses
  • Manage standing weekly or monthly re-runs, check build status, and query an org data warehouse
When to use it
Useful when you want statistical or business analysis of your own datasets inside the chat, with named methods, charts and reports that can be re-run on new data. It is aimed at data questions rather than general-purpose assistance.
Requirements
A remote Streamable HTTP endpoint; no local package. An MCP Analytics account and an API key sent in the X-API-Key header. Without a key the server only lists tools in discovery mode. Warehouse querying requires warehouse enablement on business plans.
Before you install
The API key is a secret sent in the X-API-Key header. Uploaded data is sent to the third-party service; the README says it is used only to answer your questions and points to a privacy policy for retention. Some paths order paid work: a custom build needs explicit confirmation and an idempotency key, and estimates should be reviewed first. Schedules create recurring runs and email reports.

Installation

In SourceWeft

  1. Open MCP Analytics in the dashboard and add it to a workspace.
  2. Connect X-API-Key credentials. They are stored privately and never shown on public pages.
  3. Enable the server for the chats that should use its tools.

Web executable via Streamable HTTP. Remote servers run from the web runtime once configured in a workspace.

Use with an agent

Paste this prompt into Claude Code, Codex, Cursor or another agent — or into SourceWeft chat. The agent reads this server's install guide, shows you its publisher, endpoint and sign-in, and adds it to your client once you agree. Keys never go into a command.

Read https://sourceweft.com/mcp/ai.mcpanalytics%2Fanalytics/install.md and connect the MCP server it describes to my client. Before changing any config, show me its publisher, endpoint and sign-in method and wait for my OK. Never put an API key in a command or in a file I would commit; ask me where it should come from.

Read the install guide the agent follows

Other MCP clients

Add this to your client's mcpServers config.

{
  "mcpServers": {
    "analytics": {
      "type": "http",
      "url": "https://api.mcpanalytics.ai/mcp/api-key",
      "headers": {
        "X-API-Key": "<YOUR_API_KEY>"
      }
    }
  }
}

README

MCP Analytics

A statistical analyst in your AI chat. Bring a dataset and a question, get back a citable, re-runnable report with its method named.

MCP Analytics is a Model Context Protocol server that answers business and statistical questions about your data, as deep as each question needs:

  • Answer: a quick question about the data, read from all of it, shown with how we got it, and saved.
  • Analytics: a tested statistical method runs on the data, and we interpret it with charts and a written report.
  • Custom Analytics: a question only your business asks, built for your data from proven models, yours to re-run on next month's file.

Intelligent routing picks the depth: you describe the question, and the server says which path answers it and why. Analytics is repeatable: same data, same numbers. Every report names its method and the code that ran it, and runs again on new data.

It is for business and statistical questions about data, not a general-purpose assistant.

Website: mcpanalytics.ai · Free tools you can try in the browser: mcpanalytics.ai/free

Connect

Endpoint: https://api.mcpanalytics.ai/mcp/api-key (Streamable HTTP, JSON-RPC)

Authentication: an API key in the X-API-Key header. Create an account at mcpanalytics.ai and copy your key from your account settings.

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

Claude Code:

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

Browse before you sign up. Without a key the server answers in discovery mode: you can connect and list the tools, but not run anything.

bash
curl -X POST https://api.mcpanalytics.ai/mcp/api-key \  -H 'Content-Type: application/json' \  -d '{"jsonrpc":"2.0","id":1,"method":"tools/list"}'

Start

Ask your AI assistant a question about your data, for example:

  • "Upload sales.csv. What changed in revenue from May to June, and which channel drove it?"
  • "Which customers are most likely to churn?"
  • "Forecast next quarter's sales from this file."

The first call is the resolver: it reads your question and your data, executes nothing and charges nothing, and names the path that answers it (an answer, a library analysis, or a custom build) with the reason. Then it runs that path.

What you get

  • A report with charts, tables and a written interpretation, with its method named and the code that ran it.
  • Re-runs on new data: run the same analysis on next month's file.
  • A library of your reports you can search and ask questions across.

Data and privacy

Your uploaded data is used only to answer your questions. See the privacy policy for what we keep and for how long. Security issues: see SECURITY.md.

Support

License

See LICENSE.

Source: README.md at commit 33a3580

Tools

27

about

Platform documentation and info: how it works (Answer, Analytics, Custom Analytics), usage.

Parameterstopicrequired

agent_advisor

AI help desk: which analysis fits your question, interpreting results, fixing errors. Multi-turn.

Parametersmessagerequired

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 tools holding that reference read the new data on their next run.

Parametersdataexpires_inreplace_ref

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.

Parameterslimitsearch

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.

Parametersquery

tools_schema

Get an analysis's parameter schema. ALWAYS call before path_tool_run.

Parameterstool_namerequired

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.

Parametersestimate_idrequired

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.

Parametersestimate_idrequiredinstructionsrequired

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.

Parameterskobjectiverequireddataset_ref

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.

Parametersobjectivetool_namerequireddataset_refrequired

package_status

Read an analytics package back: status, every run under it, the report link once delivered.

Parameterspackage_idrequired

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.

Parameterslimitqueryinclude_dropped

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.

Parameterspipeline_idtrack_token

ask_library

Ask a question across all your delivered analyses: a synthesized answer with citations back to specific reports.

Parametersquestionrequired

reports_list

Your report library: every analysis delivered, with status and links. Pass semantic_query to search report content in plain language.

Parameterslimitsemantic_query

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).

Parametersqueryactionrequiredparamsquestion

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'.

Parametersactionrequiredcadencetool_namedataset_refschedule_idcolumn_mapping

reports_view

Get a shareable browser link for a report, viewable without authentication.

Parametersprocessing_idrequired

report_cards

Browse a delivered report's individual cards (charts, tables, insights) inline in chat.

Parametersprocessing_idrequired

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.

Parametersdoormetaobjectiverequireddataset_ref

path_reuse

Hand back the report already delivered for this question on this data. Time: as path_resolver quotes.

Parametersobjectiverequireddataset_refrequiredresolution_id

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.

Parameterspackage_idrequireddataset_refresolution_id

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.

Parametersobjectiverequireddataset_refrequiredresolution_id

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.

Parametersobjectiverequiredtool_namesrequireddataset_refrequiredestimate_idresolution_idcolumn_mappingidempotency_keymodule_parameters

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.

Parametersobjectiverequiredtool_namesdataset_refrequiredcompletenessresolution_idlayout_objective

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.

Parameterstool_namesestimate_idrequiredresolution_ididempotency_keyrequiredlayout_objective

Version history

2
  1. v1.0.8LatestOct 15, 2026
  2. v1.0.7Sep 16, 2026

Score

100% of the applicable checks met

How complete this listing is, computed from the registry entry, the endpoint and public sources. Not a rating of the server and not a statement that it is safe or working today: reachability is a dated check, and no installs or reviews go into the score.

  • Reached in the last 30 daysRequired25 pts
  • Auth declaredRequired10 pts
  • Tools listedRequired15 pts
  • DescriptionRequired15 pts
  • Logo10 pts
  • Documentation15 pts
  • License10 pts