MCP Server for Google Search
A Model Context Protocol server that provides web search capabilities using Google Custom Search API and webpage content extraction functionality.
Tools
Search
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
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
Get Google API Key and Search Engine ID
Create a Google Cloud Project:
- Go to Google Cloud Console
- Create a new project or select an existing one
- Enable billing for your project
Enable Custom Search API:
- Go to API Library
- Search for “Custom Search API”
- Click “Enable”
Get API Key:
- Go to Credentials
- Click “Create Credentials” > “API Key”
- Copy your API key
- (Optional) Restrict the API key to only Custom Search API
Create Custom Search Engine:
- Go to Programmable Search Engine
- 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)
Client Configuration
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
{
"mcpServers": {
"google-search": {
"command": "npx",
"args": ["-y", "@mcp-for-dev/mcp-google-search"],
"env": {
"GOOGLE_API_KEY": "your-api-key-here",
"GOOGLE_SEARCH_ENGINE_ID": "your-search-engine-id-here"
}
}
}
}
MCP Server for Google Search
Project Details
- mcp-for-dev/mcp-google-search
- @mcp-for-dev/mcp-google-search
- Last Updated: 4/14/2025
Recomended MCP Servers
MCP server for UniProt protein data access
MCP server for generating and editing images using AWS Bedrock’s Nova Canvas model
A Model Context Protocol server for fetching IETF documents (RFCs) for Large Language Models.
A simple and clear example for implementation and understanding Anthropic MCP (on AWS Bedrock).
ntopng Model Context Protocol Server
simple memory mcp server with custom memory location
Model Context Protocol server implementation for Figma API
High-performance string search MCP server with automatic CPU core scaling