Google Search MCP
Enables web search capabilities using Google Custom Search API, allowing queries to retrieve real-time information from the internet with configurable result counts.
Click on "Deploy Server".
Wait a few minutes for the server to deploy. Once ready, it will show a "Started" state.
In the chat, type
@followed by the MCP server name and your instructions, e.g., "@Google Search MCP search for latest AI developments in 2024"
That's it! The server will respond to your query, and you can continue using it as needed.
Here is a step-by-step guide with screenshots.
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
Related MCP server: Google Search MCP Server
Installation
pip install google-search-mcpOr install from source:
pip install .Configuration
Create a .env file in the project root directory:
cp .env.example .envThen edit the .env file and add your credentials:
GOOGLE_API_KEY=your-api-key
GOOGLE_CSE_ID=your-custom-search-engine-idAlternatively, 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-mcpWith 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:
pytestRun tests with verbose output:
pytest -vRun tests with coverage:
pytest --cov=google_search_mcp --cov-report=htmlTest 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.
Available Tools
1 toolsearchB
Search the web using Google Custom Search.
Args:
query: The search query string.
num_results: Number of results to return (1-10, default 10).
Returns:
Search results as formatted text.
Inputs: query (required), num_results. Returns: result
Tool Schema Changelog
Recent tool additions, removals, and schema changes observed during successful MCP inspections.
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TDQS
Scored across 1 tool
With only one tool, there is no possibility of ambiguity or overlap between tools. The tool's purpose is clearly defined as web searching, leaving no room for confusion or misselection.
A single tool inherently has perfect naming consistency, as there are no other tools to compare it against. The name 'search' is straightforward and follows a simple verb pattern appropriate for its function.
A single tool is too few for a server named 'Google Search MCP', which suggests a broader scope. While the tool covers basic search functionality, the server lacks additional operations like advanced search filters, image search, or news search, making it feel thin and underdeveloped for its apparent purpose.
The tool surface is severely incomplete for a Google Search domain. It only provides basic text search, missing essential features such as image search, video search, news search, or advanced query options. This creates significant gaps that will limit agent capabilities and lead to failures in handling diverse search-related tasks.
Maintenance
Related MCP Connectors
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Google search, news, maps, webpages, cited answers, research and ChatGPT/Gemini answers for agents.
Real-time Google search (AI Overview, answer box, People also ask) and Google Maps places.
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