What dependencies are required to run this server?
Node.js is required. You also need a Google Cloud project with the Custom Search JSON API enabled and a Search Engine ID from Google's Programmable Search Engine.
@ayush-rudani
基本信息
An MCP server implementation that integrates with Google's Custom Search JSON API, providing web search capabilities.
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-ayush-rudani": {
"command": "node",
"args": [
"dist/index.js"
]
}
}
}Execute Google searches with advanced filtering options
An MCP server implementation that integrates with Google's Custom Search JSON API, providing web search capabilities for use with MCP clients like Claude Desktop.
Obtain a Google API key and Custom Search Engine ID from the Google Cloud Console and Programmable Search Engine. Set the environment variables GOOGLE_API_KEY and GOOGLE_SEARCH_ENGINE_ID. Configure the server in claude_desktop_config.json with the full path to Node.js and the built index.js file. Alternatively, clone the repository, install dependencies with npm/pnpm, build, and run node dist/index.js.
Node.js is required. You also need a Google Cloud project with the Custom Search JSON API enabled and a Search Engine ID from Google's Programmable Search Engine.
Create a Google Cloud project, enable the Custom Search JSON API, generate an API key from the Credentials section, and set up a search engine via Programmable Search Engine to get a Search Engine ID.
The server enforces a rate limit of 10 requests per minute by default. You can adjust this value in the source code if needed.
Add an entry to `claude_desktop_config.json` specifying the full path to Node.js as the command and the full path to the built `index.js` as an argument, along with the required environment variables.
The tool accepts a required `query` string and optional parameters: `num_results` (1-10, default

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