What are the prerequisites?
Node.js 18 or newer and npm are required.
@rtbui2012
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": {
"gemini-mcp-server-rtbui2012": {
"command": "npx",
"args": [
"ts-node",
"src/test.ts"
]
}
}
}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。
点击上方按钮,在临时沙箱中运行此服务器并实时获取工具列表。
It implements a Model Context Protocol (MCP) server for Google Search, enabling integration with AI assistants and other MCP-compatible clients.
Install dependencies with npm install, set up your Google Custom Search API key in a .env file as GEMINI_API_KEY, then run a test search via npx ts-node src/test.ts or integrate it as an MCP server in your client configuration (e.g., claude_desktop_config.json).
googleSearchContent tool for web search results (title, link, snippet).googleSearchImages tool for image search (Markdown image link)..env‑based credential management.Node.js 18 or newer and npm are required.
Obtain a Google Custom Search API key from the [Google Custom Search JSON API documentation](https://developers.google.com/custom-search/v1/overview) and place it in a `.env` file as `GEMINI_API_KEY`.
Two tools: `googleSearchContent` (web search returning titles, links, and snippets) and `googleSearchImages` (image search returning a Markdown image link for the first result).
Add an entry to your MCP settings file (e.g., `claude_desktop_config.json`) with the command `npx ts-node src/index.ts` and the `GEMINI_API_KEY` environment variable set to your key.
Verify that your API key is correctly set in the `.env` file or environment, all dependencies are installed (`npm install`), Node.js 18+ is used, and the server has been restarted after any code changes.

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