What tools does the server provide?
Two tools: `get_report` for historical reports and `get_realtime_data` for live data.
@eno-graph
基本信息
A MCP server for Google Analytics Data API
工具列表暂未提供
当前收录暂时没有可展示的工具列表,不代表服务没有工具。请查阅项目文档了解支持的能力。
工具是从 README 中自动提取的。维护者可以在 ## Tools 标题下列出工具,即可填充这部分内容。
The Google Analytics Data API MCP Server provides a Model Context Protocol (MCP) interface to access the Google Analytics Data API. It is aimed at developers who want to query GA4 reports, real-time data, and property metadata using AI assistants like Claude.
Clone the repository, run npm install and npm build, then set the environment variables GOOGLE_CLIENT_EMAIL, GOOGLE_PRIVATE_KEY, and GA_PROPERTY_ID. Start the server with npm start or ./run-server.sh, or configure it as an MCP server in Claude Desktop by adding the command and environment variables to the configuration file.
Two tools: `get_report` for historical reports and `get_realtime_data` for live data.
A Google Cloud project with the Analytics Data API enabled, a service account with JSON credentials, and access to a GA4 property.
Set `GOOGLE_CLIENT_EMAIL`, `GOOGLE_PRIVATE_KEY`, and `GA_PROPERTY_ID` in your shell or Claude Desktop config.
Add an `mcpServers` entry with `command: "node"`, `args` pointing to the build index, and the required environment variables.
It provides access to the property's metadata, listing available metrics and dimensions.
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