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mcp google search

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# mcp-google-server A MCP Server for Google Custom Search and Webpage Reading [![smithery badge](https://smithery.ai/badge/@adenot/mcp-google-search)](https://smithery.ai/server/@adenot/mcp-google-search) A Model Context Protocol server that provides web search capabilities using Google Custom Search API and webpage content extraction functionality. ## Setup ### Getting Google API Key and Search Engine ID 1. Create a Google Cloud Project: - Go to [Google Cloud Console](https://console.cloud.google.com/) - Create a new project or select an existing one - Enable billing for your project 2. Enable Custom Search API: - Go to [API Library](https://console.cloud.google.com/apis/library) - Search for "Custom Search API" - Click "Enable" 3. Get API Key: - Go to [Credentials](https://console.cloud.google.com/apis/credentials) - Click "Create Credentials" > "API Key" - Copy your API key - (Optional) Restrict the API key to only Custom Search API 4. Create Custom Search Engine: - Go to [Programmable Search Engine](https://programmablesearchengine.google.com/create/new) - Enter the sites you want to search (use www.google.com for general web search) - Click "Create" - On the next page, click "Customize" - In the settings, enable "Search the entire web" - Copy your Search Engine ID (cx) ## Development Install dependencies: \`\`\`bash npm install \`\`\` Build the server: \`\`\`bash npm run build \`\`\` For development with auto-rebuild: \`\`\`bash npm run watch \`\`\` ## Features ### Search Tool Perform web searches using Google Custom Search API: - Search the entire web or specific sites - Control number of results (1-10) - Get structured results with title, link, and snippet ### Webpage Reader Tool Extract content from any webpage: - Fetch and parse webpage content - Extract page title and main text - Clean content by removing scripts and styles - Return structured data with title, text, and URL ## Installation ### Installing via Smithery To install Google Custom Search Server for Claude Desktop automatically via [Smithery](https://smithery.ai/server/@adenot/mcp-google-search): \`\`\`bash npx -y @smithery/cli install @adenot/mcp-google-search --client claude \`\`\` To use with Claude Desktop, add the server config with your Google API credentials: On MacOS: \`~/Library/Application Support/Claude/claude_desktop_config.json\` On Windows: \`%APPDATA%/Claude/claude_desktop_config.json\` \`\`\`json \{ "mcpServers": \{ "google-search": \{ "command": "npx", "args": [ "-y", "@adenot/mcp-google-search" ], "env": \{ "GOOGLE_API_KEY": "your-api-key-here", "GOOGLE_SEARCH_ENGINE_ID": "your-search-engine-id-here" \} \} \} \} \`\`\` ## Usage ### Search Tool \`\`\`json \{ "name": "search", "arguments": \{ "query": "your search query", "num": 5 // optional, default is 5, max is 10 \} \} \`\`\` ### Webpage Reader Tool \`\`\`json \{ "name": "read_webpage", "arguments": \{ "url": "https://example.com" \} \} \`\`\` Example response from webpage reader: \`\`\`json \{ "title": "Example Domain", "text": "Extracted and cleaned webpage content...", "url": "https://example.com" \} \`\`\` ### Debugging Since MCP servers communicate over stdio, debugging can be challenging. We recommend using the [MCP Inspector](https://github.com/modelcontextprotocol/inspector), which is available as a package script: \`\`\`bash npm run inspector \`\`\` The Inspector will provide a URL to access debugging tools in your browser.

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