What are the prerequisites to run this server?
Node.js 14 or higher, a Google Analytics 4 property, and a Google Cloud service account with appropriate permissions.
@mattcoatsworth
基本信息
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工具列表暂未提供
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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。
A Model Context Protocol (MCP) server for interacting with the Google Analytics Data API v1. It provides tools and resources for querying Google Analytics data, managing audiences, and accessing metadata.
Configure the server by creating a .env file with GOOGLE_CLIENT_EMAIL, GOOGLE_PRIVATE_KEY, and DEFAULT_PROPERTY_ID. Install dependencies with npm install, then start the server using npm start or test with npm run inspect.
Node.js 14 or higher, a Google Analytics 4 property, and a Google Cloud service account with appropriate permissions.
Create a `.env` file with three variables: `GOOGLE_CLIENT_EMAIL`, `GOOGLE_PRIVATE_KEY`, and `DEFAULT_PROPERTY_ID`. The property ID must use the format `properties/123456789`.
Eleven tools covering reporting (`runReport`, `batchRunReports`, `runPivotReport`, `batchRunPivotReports`), metadata (`getMetadata`, `checkCompatibility`), and audience management (`createAudience`, `listAudiences`, `getAudience`, `deleteAudience`, `updateAudience`).
Resources include `ga://property/{propertyId}`, `ga://report/…`, `ga://metadata`, `ga://dimensions[/category]`, `ga://metrics[/category]`, and `ga://audiences/{propertyId}[/{audienceId}]`.
The project is licensed under the MIT license.

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