MCP Google Custom Search Server
An MCP server based on the Google Custom Search API, providing a standardized web search interface for large language models
rating : 2.5 points
downloads : 6.6K
What is the MCP Google Custom Search Server?
The MCP Google Custom Search Server is a web search engine based on the Google Custom Search API. It allows large language models (LLMs) to perform web searches through a standardized interface.How to use the MCP Google Custom Search Server?
You need to install dependencies, configure environment variables, and start the server. Then you can call the search function through the MCP client.Applicable scenarios
Suitable for large language models and artificial intelligence applications that require real-time web search support.Main features
Integrated Google Custom Search API
Seamlessly connect to the Google Custom Search API to provide powerful web search capabilities.
MCP protocol compatible
Follow the Model Context Protocol (MCP) to ensure good compatibility with other MCP clients.
Implemented in TypeScript
Written in TypeScript to ensure the security and maintainability of the code.
Environment variable configuration
Support easy configuration of API keys and search engine IDs through environment variables.
Input validation
Use Zod for input validation to improve the security of the system.
Result formatting
The returned results include titles, URLs, and descriptions for easy user understanding.
Error handling
Built-in error handling mechanism to enhance the user experience.
Advantages
Powerful web search capabilities
Easy to integrate into existing systems
Support multiple programming languages
Efficient error handling mechanism
Limitations
Requires Google API key and search engine ID
May be subject to API quota restrictions
How to use
Clone the repository
Run the following command to clone the project repository: `git clone https://github.com/yourusername/mcp-google-custom-search-server.git`.
Install dependencies
After entering the project directory, run `npm install` to install the required dependencies.
Create a .env file
Create a `.env` file in the project root directory and add the API key and search engine ID.
Build the server
Use the `npm run build` command to compile the TypeScript code.
Start the server
Run `npm start` to start the server.
Usage examples
Search example
Users can enter keywords to obtain relevant information.
Multi-result search
Users can request more search results.
Frequently Asked Questions
How to obtain a Google API key?
How to create a custom search engine ID?
Can the number of returned results be changed?
What should I do if the search fails?
Related resources
MCP official documentation
Learn more about the Model Context Protocol (MCP).
Google Custom Search API documentation
Gain in-depth understanding of how the Google Custom Search API works.
GitHub project address
View the project's source code and more details.

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