一个强大的 Google 搜索 MCP 服务器，支持多个关键词同时并行搜索。

本项目是基于谷歌搜索进行修改的。

🌟 推荐：OllaMan——强大的Ollama AI模型管理器。

优点

• 并行搜索：支持在谷歌上同时使用多个关键词搜索，提高搜索效率
• 浏览器优化：在单个浏览器实例中打开多个标签页，实现高效的并行搜索
• 自动验证处理：智能检测验证码，并在需要时启用可见浏览器模式以供用户验证
• 用户行为模拟：模拟真实用户浏览模式，以降低被搜索引擎检测的可能性
• 结构化数据：返回JSON格式的结构化搜索结果，便于处理和分析
• 可配置参数：支持多种参数配置，如搜索结果限制、超时设置、区域设置等。

快速启动

直接用NPX运行：

第一次设置——通过在终端中执行以下命令安装所需的浏览器：

调试模式

G-Search MCP

A powerful MCP server for Google search that enables parallel searching with multiple keywords simultaneously.

This project is modified from google-search.

🌟 Recommended: OllaMan - Powerful Ollama AI Model Manager.

Advantages

• Parallel Searching: Supports searching with multiple keywords on Google simultaneously, improving search efficiency
• Browser Optimization: Opens multiple tabs in a single browser instance for efficient parallel searching
• Automatic Verification Handling: Intelligently detects CAPTCHA and enables visible browser mode for user verification when needed
• User Behavior Simulation: Simulates real user browsing patterns to reduce the possibility of detection by search engines
• Structured Data: Returns structured search results in JSON format for easy processing and analysis
• Configurable Parameters: Supports various parameter configurations such as search result limits, timeout settings, locale settings, etc.

Quick Start

Run directly with npx:

npx -y g-search-mcp

First time setup - install the required browser by running the following command in your terminal:

npx playwright install chromium

Debug Mode

Use the --debug option to run in debug mode (showing browser window):

npx -y g-search-mcp --debug

Configure MCP

Configure this MCP server in Claude Desktop:

MacOS: ~/Library/Application Support/Claude/claude_desktop_config.json Windows: %APPDATA%/Claude/claude_desktop_config.json

{
  "mcpServers": {
    "g-search": {
      "command": "npx",
      "args": ["-y", "g-search-mcp"]
    }
  }
}

Features

• search - Execute Google searches with multiple keywords and return results
  • Uses Playwright browser to perform searches
  • Supports the following parameters:
    • queries: Array of search queries to execute (required parameter)
    • limit: Maximum number of results to return per query, default is 10
    • timeout: Page loading timeout in milliseconds, default is 60000 (60 seconds)
    • noSaveState: Whether to avoid saving browser state, default is false
    • locale: Locale setting for search results, default is en-US
    • debug: Whether to enable debug mode (showing browser window), overrides the --debug flag in command line

Example usage:

Use the search tool to search for "machine learning" and "artificial intelligence" on Google

Example response:

{
  "searches": [
    {
      "query": "machine learning",
      "results": [
        {
          "title": "What is Machine Learning? | IBM",
          "link": "https://www.ibm.com/topics/machine-learning",