What prerequisites are needed?
The server requires Python 3.12+, a Google Custom Search Engine ID (CSE ID), and a Google API key. Both credentials must be set in a `.env` file.
@moritalous
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": {
"google-search-mcp-server-moritalous": {
"command": "python",
"args": [
"app.py"
]
}
}
}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 MCP サーバー is a Model Context Protocol (MCP) server that provides AI assistants with Google Search API capabilities. It uses Gradio and MCP to act as an interface between AI assistants and the Google Search API, enabling web search functionality.
Install dependencies with pip install -e ., set the GOOGLE_CSE_ID and GOOGLE_API_KEY environment variables in a .env file, then start the server with python app.py. The server launches a Gradio interface that functions as an MCP endpoint.
The server requires Python 3.12+, a Google Custom Search Engine ID (CSE ID), and a Google API key. Both credentials must be set in a `.env` file.
You can request between 1 and 20 results; the default is 10. The `num_results` parameter controls this.
The query string is limited to 400 characters (approximately 50 words). The `perform_web_search` function enforces this limit.
All search results are fetched from the Google Custom Search API. No local caching or data storage is described in the README.
Authentication is handled via the Google Custom Search API key and CSE ID set as environment variables. No additional OAuth or user‑level authentication is mentioned.
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