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    Google Search Engine Mcp

    1 stars
    TypeScript
    Updated Sep 5, 2025

    Table of Contents

    • Local Development
    • Connect to MCP Inspector Testing Tool
    • Available Tools
    • Connect to Claude Desktop
    • Deploy to Cloudflare
    • Connect to Remote MCP Server
    • Connect Claude Desktop to Remote Server
    • Troubleshooting
    • Developer Notes

    Table of Contents

    • Local Development
    • Connect to MCP Inspector Testing Tool
    • Available Tools
    • Connect to Claude Desktop
    • Deploy to Cloudflare
    • Connect to Remote MCP Server
    • Connect Claude Desktop to Remote Server
    • Troubleshooting
    • Developer Notes

    Documentation

    Google Search Engine MCP Server

    An MCP (Model Context Protocol) server based on Cloudflare Workers, providing Google search and webpage content extraction functionality with integrated OAuth login.

    Local Development

    bash
    # Clone the repository
    git clone https://github.com/your-username/google-search-engine-mcp-server.git
    
    # Install dependencies
    cd google-search-engine-mcp-server
    npm install
    
    # Run locally
    npm run dev

    Visit [http://localhost:8787/](http://localhost:8787/) to check the server status

    Connect to MCP Inspector Testing Tool

    Use the MCP Inspector to explore and test the API:

    • Run npm run inspector or npx @modelcontextprotocol/inspector
    • In the Inspector interface, set the transport type to SSE, URL to http://localhost:8787/sse, and click "Connect"
    • Enter any email and password in the mock login interface
    • After logging in, you can view and call all available tools

    Available Tools

    This server provides the following tools:

    1. google_search - Perform Google searches and return results

    2. extract_webpage_content - Extract webpage content and convert it to readable text

    3. batch_extract_webpage_content - Batch extract content from multiple webpages

    Connect to Claude Desktop

    To connect Claude to your local MCP server:

    1. Follow the Anthropic Quick Start Guide

    2. In Claude Desktop, go to Settings > Developer > Edit Config

    3. Replace the existing content with the following configuration:

    json
    {
      "mcpServers": {
        "google-search": {
          "command": "npx",
          "args": [
            "mcp-remote",
            "http://localhost:8787/sse"
          ]
        }
      }
    }

    After launching Claude, a browser window will open allowing you to log in. You can see available tools in the bottom right corner. With appropriate prompts, Claude will call the corresponding tools.

    Deploy to Cloudflare

    1. Create a KV namespace: npx wrangler kv namespace create OAUTH_KV

    2. Follow the prompts to add the KV namespace ID to wrangler.jsonc

    3. Set environment variables:

    • GOOGLE_API_KEY - Your Google API key
    • GOOGLE_SEARCH_ENGINE_ID - Your Google Custom Search Engine ID

    4. Deploy: npm run deploy

    Connect to Remote MCP Server

    After deployment, you can use MCP Inspector to connect to the remote server:

    bash
    npx @modelcontextprotocol/inspector@latest

    Enter your Workers URL (e.g., your-worker-name.your-account.workers.dev/sse) as the MCP server address and click "Connect".

    Connect Claude Desktop to Remote Server

    Update the Claude configuration file to point to your Workers URL:

    json
    {
      "mcpServers": {
        "google-search": {
          "command": "npx",
          "args": [
            "mcp-remote",
            "https://your-worker-name.your-account.workers.dev/sse"
          ]
        }
      }
    }

    Troubleshooting

    If you encounter issues:

    1. Restart Claude

    2. Try connecting to the MCP server directly from the command line:

    bash
    npx mcp-remote http://localhost:8787/sse

    3. Clear the MCP authentication files:

    bash
    rm -rf ~/.mcp-auth

    4. Check console logs for detailed error information

    Developer Notes

    • This project is developed using TypeScript
    • Based on Cloudflare Workers and Durable Objects
    • Integrates OAuth authentication
    • Uses Google Custom Search API for search functionality
    • Includes webpage content extraction and analysis features

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