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Google Analytics

MCP server · by mcparmory

Data & Analytics
PythonDocker
v1.0.3

Query GA4 analytics data with custom reports, pivot tables, and audience exports

View source ↗More servers

Install

Run one of the commands below, then add the client config underneath.

Python
uvx mcparmory-google-analytics
Docker
docker run -i --rm ghcr.io/mcparmory/google-analytics:1.0.3

Client configuration

Paste into Claude Desktop, Cursor (mcp.json), VS Code or any MCP client, then restart the client.

mcpServers
{
  "mcpServers": {
    "google-analytics-2": {
      "command": "uvx",
      "args": [
        "mcparmory-google-analytics"
      ]
    }
  }
}

About this server

Google Analytics is listed in the Data & Analytics category of the MCPNav directory. It is distributed as Python, Docker and can be loaded by any client that speaks the Model Context Protocol.

Typical uses include giving your assistant scoped access to the corresponding service so it can answer questions and take actions with real data instead of guessing. Always review what a server can access before you enable it — see our MCP security guide.

Frequently asked questions

What is the Google Analytics MCP server?＋

Google Analytics is an MCP server by mcparmory. Query GA4 analytics data with custom reports, pivot tables, and audience exports

How do I install Google Analytics?＋

Install it with: uvx mcparmory-google-analytics. Then add the JSON config to your client's MCP settings and restart the client.

Is Google Analytics free to use?＋

The MCP server itself is free to install. The source is public on https://github.com/mcparmory/registry. Any third-party API it calls (such as a search or maps API) may require its own key and billing.

Which clients support Google Analytics?＋

Any MCP-compatible client can use it, including Claude Desktop, Cursor, VS Code, Windsurf and custom agents.