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
基本信息
暂无概览
使用下面的配置,将此服务器添加到你的 MCP 客户端。
{
"mcpServers": {
"google-search-mcp-server-moritalous": {
"command": "python",
"args": [
"app.py"
]
}
}
}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 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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