What tools does the server provide?
Five tools: `list_sites`, `query_search_analytics`, `compare_time_periods`, `get_top_performing_content`, and `get_search_trends`.
@seotesting-com
基本情報
概要はまだありません
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": {
"gsc-mcp-server": {
"command": "uv",
"args": [
"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。
This server integrates Google Search Console (GSC) data with Claude Desktop via the Model Context Protocol (MCP). It allows users to compare time periods, generate visual reports, and analyze SEO metrics like click-through rates, impressions, and ranking shifts.
Generate a Google Cloud service account JSON key and add it to your GSC property. Then clone the repository, create a Python virtual environment with uv, install dependencies, and run mcp install server.py -v GOOGLE_APPLICATION_CREDENTIALS=<path to JSON> . Restart Claude Desktop to see five new tools and start querying your search analytics.
Five tools: `list_sites`, `query_search_analytics`, `compare_time_periods`, `get_top_performing_content`, and `get_search_trends`.
A Google Cloud service account JSON key with the Search Console API enabled and the service account added as a user in Google Search Console.
Python, pip, uv, and optionally Git. The server runs locally via Claude Desktop.
Clone the repo, create a virtual environment with `uv venv`, run `uv sync`, then `mcp install server.py -v GOOGLE_APPLICATION_CREDENTIALS=<path>`. Restart Claude Desktop.
Restart Claude Desktop (end the process in Task Manager/Activity Monitor) and wait a few minutes. Also verify the JSON credentials path is correct and accessible.
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