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MCP Google Custom Search Server

@alexatnordnet

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stdio

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alexatnordnet

关于 MCP Google Custom Search Server

An mcp server for searching against google custom search api

#mcp#google-custom-search#search-api

MCP Google Custom Search Server 配置

使用下面的配置,将此服务器添加到你的 MCP 客户端。

{
  "mcpServers": {
    "mcp-google-custom-search-server": {
      "command": "npx",
      "args": [
        "@modelcontextprotocol/inspector",
        "node",
        "build/index.js"
      ]
    }
  }
}

MCP Google Custom Search Server 工具

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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。

概览

What is MCP Google Custom Search Server?

A Model Context Protocol (MCP) server that enables Language Learning Models (LLMs) to perform web searches through Google's Custom Search API. It provides a standardized, type-safe interface compatible with Claude Desktop and other MCP clients.

How to use MCP Google Custom Search Server?

Install dependencies with npm install, create a .env file with your GOOGLE_API_KEY and GOOGLE_SEARCH_ENGINE_ID, then build (npm run build) and start (npm start) the server. For Claude Desktop integration, add a JSON configuration entry pointing to the built server and supplying the same environment variables.

Key features of MCP Google Custom Search Server

  • Seamless integration with Google Custom Search API
  • MCP-compliant server implementation with TypeScript
  • Configurable search results (up to 10 per query)
  • Formatted output with titles, URLs, and descriptions
  • Input validation using Zod
  • Error handling and validation

Use cases of MCP Google Custom Search Server

  • Providing web search results to an LLM for answering queries
  • Integrating real-time web data into conversational AI assistants
  • Enabling dynamic fact-checking and research via MCP clients

常见问题

1

What prerequisites are needed to run the server?

You need a Google Cloud Project with the Custom Search API enabled, an API key, and a Custom Search Engine ID. Locally, Node.js v18 or higher and npm are required.

2

How do I configure the server for Claude Desktop?

Add a JSON block in the Claude Desktop config file (typically `~/Library/Application Support/Claude/claude_desktop_config.json`) under `mcpServers` with the command `node`, the absolute path to the built `index.js`, and the required `GOOGLE_API_KEY` and `GOOGLE_SEARCH_ENGINE_ID` environment variables.

3

How many results can the search tool return per query?

The optional `numResults` parameter defaults to 5 and can be set up to a maximum of 10 results per search.

4

What runtime and dependencies does the server require?

It runs on Node.js v18+ with npm, and depends on the Google Custom Search API and the Model Context Protocol libraries.

5

Does the server handle invalid input or errors?

Yes, it includes input validation via Zod and error handling for API failures and malformed requests.

评论

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