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Any MCP client

MCP server for your web analytics

Connect any assistant compatible with the Model Context Protocol, over HTTP or stdio, and ask about your data in plain language.

What you get

15 tools

Websites, metrics, daily evolution, breakdowns by 11 dimensions, goals, JavaScript errors, Core Web Vitals, tracking code and custom domain.

HTTP or stdio

Native HTTP for the clients that support it, and stdio through mcp-remote for the rest.

No rate limit

Ask as much as you need: the MCP server doesn’t limit requests.

Set it up step by step

  1. Get your MCP token

    In the app, open the user menu → API → MCP. There you have your token and the configuration for each client.

    MCP token and server address
  2. Server address

    Every client connects to this address, with your token in the Authorization header:

    https://mcp.overtracking.com
  3. Clients with HTTP support

    Add this to the client’s JSON configuration:

    {
      "mcpServers": {
        "overtracking": {
          "type": "http",
          "url": "https://mcp.overtracking.com",
          "headers": { "Authorization": "Bearer YOUR_MCP_TOKEN" }
        }
      }
    }
  4. Clients that only support stdio

    Use mcp-remote, which runs with npx (you need Node.js):

    {
      "mcpServers": {
        "overtracking": {
          "command": "npx",
          "args": ["-y", "mcp-remote", "https://mcp.overtracking.com",
                   "--header", "Authorization: Bearer YOUR_MCP_TOKEN"]
        }
      }
    }

Frequently asked questions

Which clients can I use?

Any client that supports MCP over HTTP or stdio, such as Claude, Cursor, VS Code or Windsurf. The address and the Authorization header are always the same.

What is the difference with the REST API?

The API is for your scripts and dashboards; MCP is for AI assistants, which choose the tool for each question. Both read the same data.

REST API

Which websites can the assistant see?

The websites of your account and the ones shared with you. Nothing else.

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