Alexatnordnet MCP Google Custom Search Server
A

Alexatnordnet MCP Google Custom Search Server

An MCP protocol server based on the Google Custom Search API that provides a standardized web search interface for language models, supporting environment variable configuration and type-safe implementation.
2.5 points
8.3K

What is the MCP Google Custom Search Server?

The MCP Google Custom Search Server is a server for the Model Context Protocol (MCP) that implements web search functionality through the Google Custom Search API. This enables large language models (LLMs) to perform web searches through a standardized interface.

How to use the MCP Google Custom Search Server?

First, you need to configure environment variables and API keys. Then, start the server and integrate it into your application. Finally, perform a search by sending a request.

Applicable scenarios

This server is suitable for applications that require real-time web search results, such as knowledge Q&A systems, research tools, or personalized recommendation engines.

Main features

Seamless integration with Google Custom Search API
Supports seamless collaboration with the Google Custom Search API to quickly obtain high-quality search results.
Implemented in TypeScript
Written in TypeScript to ensure code robustness and type safety.
Environment variable configuration
Supports configuring Google API keys and Search Engine IDs through environment variables.
Input validation
Uses Zod for input validation to ensure data security and consistency.
Customizable search results
Allows users to customize the number of search results returned (maximum 10).
Advantages
High-performance web search capabilities
Easy to integrate into existing systems
Supports multiple languages and regional settings
Limitations
Requires a valid Google Cloud API key
Results are affected by Google's search algorithm

How to use

Clone the code repository
Clone the project code from GitHub and enter the project directory.
Install dependencies
Install the Node.js dependencies required by the project.
.env file configuration
Create a .env file and fill in the Google API key and Search Engine ID.
Build the project
Compile the TypeScript code into JavaScript.
Start the server
Run the server to start receiving search requests.

Usage examples

Example 1: Search for technology news
Send a request to the server to get the latest technology news.
Example 2: Search for academic papers
Query for academic papers on deep learning.

Frequently Asked Questions

How to create a Google Custom Search Engine ID?
Why are my search results empty?

Related resources

Official documentation
Understand how the Google Custom Search API works.
GitHub repository
View the project's source code and latest updates.

Installation

Copy the following command to your Client for configuration
{
  "mcpServers": {
    "google-search": {
      "command": "node",
      "args": [
        "/absolute/path/to/mcp-google-custom-search-server/build/index.js"
      ],
      "env": {
        "GOOGLE_API_KEY": "your-api-key",
        "GOOGLE_SEARCH_ENGINE_ID": "your-search-engine-id"
      }
    }
  }
}
Note: Your key is sensitive information, do not share it with anyone.

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