What does the server require to run?
Python 3.7+ and a Google service account with access to the desired Search Console properties.
@LeonardSEO
基本情報
MCP server voor Google Search Console API integratie met n8n
以下の設定を使って、このサーバーを MCP 対応クライアントに追加してください。
{
"mcpServers": {
"google-search-console-mcp-leonardseo": {
"command": "python3",
"args": [
"-m",
"venv",
".venv"
]
}
}
}ツール一覧はまだありません
この掲載には表示できるツール一覧がまだありません。サーバーにツールがないという意味ではありません。対応機能はプロジェクトのドキュメントをご確認ください。
ツールは README から自動的に抽出されます。メンテナーは ## Tools という見出しの下に記載することで、このタブに反映できます。
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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