What are the prerequisites for using this server?
Node.js 18 or later, a Google Cloud Project with the Search Console API enabled, and a service account with Search Console access.
@ahonn
基本信息
A Model Context Protocol (MCP) server providing access to Google Search Console
使用下面的配置,将此服务器添加到你的 MCP 客户端。
{
"mcpServers": {
"gsc": {
"command": "npx",
"args": [
"-y",
"mcp-server-gsc"
],
"env": {
"GOOGLE_APPLICATION_CREDENTIALS": ""
}
}
}
}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。
点击上方按钮,在临时沙箱中运行此服务器并实时获取工具列表。
A Model Context Protocol server that provides comprehensive access to Google Search Console data with enhanced analytics capabilities, including up to 25,000 rows of performance data and advanced filtering. It is designed for developers and SEO professionals who want to integrate Search Console insights into AI-powered workflows.
Install via npm install mcp-server-gsc. After setting up a Google Cloud service account and enabling the Search Console API, configure the server in Claude Desktop by adding the GOOGLE_APPLICATION_CREDENTIALS environment variable pointing to your credentials file. Use the search_analytics tool to query performance data with optional filters and quick wins detection.
Node.js 18 or later, a Google Cloud Project with the Search Console API enabled, and a service account with Search Console access.
Create a service account in Google Cloud Console, enable the Search Console API, generate a JSON key, add the service account email as a property administrator in Search Console, and set the `GOOGLE_APPLICATION_CREDENTIALS` environment variable.
Add the server definition to your Claude Desktop configuration with `"command": "npx", "args": ["-y", "mcp-server-gsc"]` and the environment variable `GOOGLE_APPLICATION_CREDENTIALS` set to your credentials file path.
It provides one tool: `search_analytics`, which accepts required parameters (`siteUrl`, `startDate`, `endDate`) and optional parameters for dimensions, search type, aggregation, row limit, data state, and various filters. It also supports quick wins detection.
Yes. You can use the `pageFilter` and `queryFilter` parameters with a `regex:` prefix, combined with the `filterOperator` parameter set to `includingRegex` or `excludingRegex`.

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