Google Analytics is a Model Context Protocol (MCP) server: Query GA4 analytics data with custom reports, pivot tables, and audience exports. In practice that means any MCP-compatible AI assistant can call Google Analytics's tools directly — the model decides when to use them in a conversation or agent run.
It runs locally: the Python package mcparmory-google-analytics (via uvx) speaks MCP over stdio on your machine. No credentials are required — it works out of the box. The current release is v1.0.3, with source at mcparmory/registry on GitHub, where it has earned 30 stars.
Google Analytics is listed under Marketing on mcp.site and works with any MCP client — Claude Desktop, Claude Code, Cursor, VS Code, Windsurf, Zed and the rest of the ecosystem — using the install snippets below. If you maintain Google Analytics for mcparmory.com, claim this listing to verify ownership, earn the Verified badge, and keep the details current.
▸PyPI package — mcparmory-google-analytics · MCP over stdio
▸Docker image — ghcr.io/mcparmory/google-analytics:1.0.3 · MCP over stdio