Mcp Google Search
What is Mcp Google Search
mcp-google-search is a Model Context Protocol (MCP) server that enables users to perform Google searches using the Custom Search API.
Use cases
Use cases include searching for specific topics, retrieving top results for queries, and integrating search capabilities into applications or services.
How to use
To use mcp-google-search, set up a virtual environment, install the necessary dependencies, configure your Google API credentials, and run the server using the command ‘python server.py’. You can also use it with MCP Inspector for development.
Key features
Key features include performing Google searches through the Custom Search API, returning results formatted in Markdown, and allowing users to limit the number of results as requested.
Where to use
mcp-google-search can be used in various fields such as research, web development, and any application requiring search functionalities integrated with Google.
Clients Supporting MCP
The following are the main client software that supports the Model Context Protocol. Click the link to visit the official website for more information.
Overview
What is Mcp Google Search
mcp-google-search is a Model Context Protocol (MCP) server that enables users to perform Google searches using the Custom Search API.
Use cases
Use cases include searching for specific topics, retrieving top results for queries, and integrating search capabilities into applications or services.
How to use
To use mcp-google-search, set up a virtual environment, install the necessary dependencies, configure your Google API credentials, and run the server using the command ‘python server.py’. You can also use it with MCP Inspector for development.
Key features
Key features include performing Google searches through the Custom Search API, returning results formatted in Markdown, and allowing users to limit the number of results as requested.
Where to use
mcp-google-search can be used in various fields such as research, web development, and any application requiring search functionalities integrated with Google.
Clients Supporting MCP
The following are the main client software that supports the Model Context Protocol. Click the link to visit the official website for more information.
Content
Google Search MCP Server
A Model Context Protocol (MCP) server that allows you to perform Google searches using the Custom Search API.
Features
- Performs Google searches through the Custom Search API
- Returns results formatted in Markdown
- Limits the number of results as requested
Prerequisites
- Python 3.8+
- Google Custom Search API credentials
- Custom Search Engine ID (CSE ID)
Installation
- Create a virtual environment:
python -m venv venv
source venv/bin/activate # On Windows use: venv\Scripts\activate
- Install dependencies:
pip install mcp httpx python-dotenv
- Configure your credentials:
cp .env.example .env
- Edit the
.envfile with your credentials:
GOOGLE_API_KEY=your_api_key_here GOOGLE_CSE_ID=your_cse_id_here
How to Use
Direct execution
python server.py
Development with MCP Inspector
mcp dev server.py
Installation in Claude Desktop
mcp install server.py --name "Google Search"
Usage with Claude
Once the server is running and connected to Claude, you can perform searches with:
Search Google for "artificial intelligence and ethics"
Or specify the number of results:
Find the top 3 results for "machine learning frameworks"
Getting Google Credentials
- Create a Google API key in the Google Cloud Console
- Enable the Custom Search API
- Create a custom search engine at Custom Search Engine
- Get your search engine ID (cx)
License
MIT
Dev Tools Supporting MCP
The following are the main code editors that support the Model Context Protocol. Click the link to visit the official website for more information.
