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
Basic information
No overview available yet
No standard config provided
This server doesn't expose a parseable MCP config block in its README. See the repository for install instructions.
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We auto-extract tools from the README. The maintainer can list them under a ## Tools heading to populate this section.
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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