What does the server require to run?
Python 3.7+ and a Google service account with access to the desired Search Console properties.
@LeonardSEO
基本信息
MCP server voor Google Search Console API integratie met n8n
使用下面的配置,将此服务器添加到你的 MCP 客户端。
{
"mcpServers": {
"google-search-console-mcp-leonardseo": {
"command": "python3",
"args": [
"-m",
"venv",
".venv"
]
}
}
}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。
Google Search Console MCP Server is an MCP server that exposes the Google Search Console API for use in n8n workflows via the MCP Client node. It is intended for n8n users who want to automate Search Console data retrieval and analysis.
Install Python 3.7+, clone the repository, create a virtual environment, install dependencies, and run the setup script to configure a Google service account credentials file. In n8n, add an MCP Client (STDIO) node, set the command to the Python path, arguments to the server script, and the environment variable SERVICE_ACCOUNT_JSON pointing to your credentials file. Then call any of the available tools by selecting "Execute Tool" in the MCP Client node.
Python 3.7+ and a Google service account with access to the desired Search Console properties.
Run the included setup script (`setup-credentials.sh`) and either provide an existing service account JSON file or create a new one in Google Cloud Console. Then grant the service account email access in Google Search Console settings.
It provides eight tools: `list_sites`, `get_search_analytics`, `get_top_queries`, `get_top_pages`, `get_queries_for_url`, `inspect_url`, and `list_sitemaps`.
Credentials are stored locally in a JSON file. The `.gitignore` file prevents it from being pushed to Git.
The server uses STDIO transport, as it is designed for n8n’s MCP Client (STDIO) node.
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