Google Search MCP

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.

Category
访问服务器

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:

  1. Get a Google API Key from the Google Cloud Console
  2. 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 string
  • num_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.

推荐服务器

Baidu Map

Baidu Map

百度地图核心API现已全面兼容MCP协议,是国内首家兼容MCP协议的地图服务商。

官方
精选
JavaScript
Playwright MCP Server

Playwright MCP Server

一个模型上下文协议服务器,它使大型语言模型能够通过结构化的可访问性快照与网页进行交互,而无需视觉模型或屏幕截图。

官方
精选
TypeScript
Magic Component Platform (MCP)

Magic Component Platform (MCP)

一个由人工智能驱动的工具,可以从自然语言描述生成现代化的用户界面组件,并与流行的集成开发环境(IDE)集成,从而简化用户界面开发流程。

官方
精选
本地
TypeScript
Audiense Insights MCP Server

Audiense Insights MCP Server

通过模型上下文协议启用与 Audiense Insights 账户的交互,从而促进营销洞察和受众数据的提取和分析,包括人口统计信息、行为和影响者互动。

官方
精选
本地
TypeScript
VeyraX

VeyraX

一个单一的 MCP 工具,连接你所有喜爱的工具:Gmail、日历以及其他 40 多个工具。

官方
精选
本地
graphlit-mcp-server

graphlit-mcp-server

模型上下文协议 (MCP) 服务器实现了 MCP 客户端与 Graphlit 服务之间的集成。 除了网络爬取之外,还可以将任何内容(从 Slack 到 Gmail 再到播客订阅源)导入到 Graphlit 项目中,然后从 MCP 客户端检索相关内容。

官方
精选
TypeScript
Kagi MCP Server

Kagi MCP Server

一个 MCP 服务器,集成了 Kagi 搜索功能和 Claude AI,使 Claude 能够在回答需要最新信息的问题时执行实时网络搜索。

官方
精选
Python
e2b-mcp-server

e2b-mcp-server

使用 MCP 通过 e2b 运行代码。

官方
精选
Neon MCP Server

Neon MCP Server

用于与 Neon 管理 API 和数据库交互的 MCP 服务器

官方
精选
Exa MCP Server

Exa MCP Server

模型上下文协议(MCP)服务器允许像 Claude 这样的 AI 助手使用 Exa AI 搜索 API 进行网络搜索。这种设置允许 AI 模型以安全和受控的方式获取实时的网络信息。

官方
精选