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Mcp Analytics

Mcp Analytics

Remote
mcpanalytics.aiData & Analytics8Updated 2d ago

About Mcp Analytics

MCP Analytics is an MCP server for business and statistical questions about datasets. It routes each question to a quick answer, statistical analysis, or custom analysis, then produces a citable, rerunnable report naming its method and code.

Key features

  1. 01Routes questions to an analysis path
  2. 02Statistical analysis and interpretation
  3. 03Reports with charts and tables
  4. 04Rerun reports on new data
  5. 05Search reports and ask across them

Use cases

  1. 01Analyze sales changes and channel impact
  2. 02Identify customers likely to churn
  3. 03Forecast sales from historical data

MCP support

The server connects to MCP clients over Streamable HTTP with an API key and provides data analysis tools. Without a key, clients can list tools but cannot run analyses.

Configuration

Remote servers need no local install. Pick your client, then copy the config or install in one click.

Endpointhttps://api.mcpanalytics.ai/mcp/api-key
Copy install command
Claude CodeTerminal
Cursor.cursor/mcp.json
VS Code.vscode/mcp.json
Claude Desktopclaude_desktop_config.json
Windsurf~/.codeium/windsurf/mcp_config.json

Run commands in a terminal; paste JSON into the client’s MCP config and restart. Servers that need sign-in will prompt on first connect.

All endpoints
Streamable HTTPhttps://api.mcpanalytics.ai/mcp/api-keyAuth required

Tools

27
ParameterTypeRequiredDescription
sectionenumNoWhere to send the userhome | billing | upgrade | create | upload | reports

Details

From the project 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.

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

Claude Code:

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.

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.

Comments

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New to MCP?

From what the protocol is to installing your first server, these answers cover most first questions.

An open protocol that defines how AI applications connect to external tools and data in a uniform way. Clients talk to the model; MCP servers provide tools, resources and prompt templates. They exchange standard messages, so one server can be reused by many clients.