Google Search MCP
Enables Large Language Models to perform real-time web searches using Google Custom Search API. Integrates with Claude Desktop to retrieve current information from the internet.
README
google-search-mcp
A Model Context Protocol (MCP) server that utilizes Google Custom Search (CSE) to retrieve information from the internet. By leveraging this MCP, the Large Language Model (LLM) is enabled to perform real-time Web searches.
Prerequisites
A Google Custom Search API key and Custom Search Engine ID are required:
- Get a Google API Key from the Google Cloud Console
- Create a Custom Search Engine at Programmable Search Engine
Installation
pip install google-search-mcp
Or install from source:
pip install .
Configuration
Create a .env file in the project root directory:
cp .env.example .env
Then edit the .env file and add your credentials:
GOOGLE_API_KEY=your-api-key
GOOGLE_CSE_ID=your-custom-search-engine-id
Alternatively, you can set environment variables directly:
export GOOGLE_API_KEY="your-api-key"
export GOOGLE_CSE_ID="your-custom-search-engine-id"
Usage
As a CLI
google-search-mcp
With Claude Desktop
Add the following to your Claude Desktop configuration file:
macOS: ~/Library/Application Support/Claude/claude_desktop_config.json
Windows: %APPDATA%\Claude\claude_desktop_config.json
For macOS/Linux:
{
"mcpServers": {
"google-search": {
"command": "python",
"args": ["-m", "google_search_mcp"],
"env": {
"GOOGLE_API_KEY": "your-api-key",
"GOOGLE_CSE_ID": "your-custom-search-engine-id"
}
}
}
}
For Windows:
If python is in your PATH (check with where python), you can use the same configuration as macOS/Linux:
{
"mcpServers": {
"google-search": {
"command": "python",
"args": ["-m", "google_search_mcp"],
"env": {
"GOOGLE_API_KEY": "your-api-key",
"GOOGLE_CSE_ID": "your-custom-search-engine-id"
}
}
}
}
If you need to use a specific Python installation, find the full path with:
python -c "import sys; print(sys.executable)"
Then use the full path in the configuration:
{
"mcpServers": {
"google-search": {
"command": "C:\\Users\\YOUR_USERNAME\\AppData\\Local\\Microsoft\\WindowsApps\\PythonSoftwareFoundation.Python.3.13_qbz5n2kfra8p0\\python.exe",
"args": ["-m", "google_search_mcp"],
"env": {
"GOOGLE_API_KEY": "your-api-key",
"GOOGLE_CSE_ID": "your-custom-search-engine-id"
}
}
}
}
Note: Environment variables must be set in the Claude Desktop config env section for the server to access them.
Tools
search
Search the web using Google Custom Search.
Parameters:
query(string, required): The search query stringnum_results(integer, optional): Number of results to return (1-10, default 10)
Development
Running Tests
Install development dependencies:
pip install -e ".[dev]"
Run the test suite:
pytest
Run tests with verbose output:
pytest -v
Run tests with coverage:
pytest --cov=google_search_mcp --cov-report=html
Test Coverage
The test suite includes comprehensive tests for:
- Successful search requests
- Environment variable validation
- API error handling
- JSON parsing errors
- Empty search results
- Input parameter validation (num_results clamping)
- Result formatting
- Request parameter verification
License
MIT License - see LICENSE for details.
Recommended Servers
playwright-mcp
A Model Context Protocol server that enables LLMs to interact with web pages through structured accessibility snapshots without requiring vision models or screenshots.
Magic Component Platform (MCP)
An AI-powered tool that generates modern UI components from natural language descriptions, integrating with popular IDEs to streamline UI development workflow.
Audiense Insights MCP Server
Enables interaction with Audiense Insights accounts via the Model Context Protocol, facilitating the extraction and analysis of marketing insights and audience data including demographics, behavior, and influencer engagement.
VeyraX MCP
Single MCP tool to connect all your favorite tools: Gmail, Calendar and 40 more.
graphlit-mcp-server
The Model Context Protocol (MCP) Server enables integration between MCP clients and the Graphlit service. Ingest anything from Slack to Gmail to podcast feeds, in addition to web crawling, into a Graphlit project - and then retrieve relevant contents from the MCP client.
Kagi MCP Server
An MCP server that integrates Kagi search capabilities with Claude AI, enabling Claude to perform real-time web searches when answering questions that require up-to-date information.
E2B
Using MCP to run code via e2b.
Neon Database
MCP server for interacting with Neon Management API and databases
Exa Search
A Model Context Protocol (MCP) server lets AI assistants like Claude use the Exa AI Search API for web searches. This setup allows AI models to get real-time web information in a safe and controlled way.
Qdrant Server
This repository is an example of how to create a MCP server for Qdrant, a vector search engine.