iflow-mcp_minimax-ai_minimax-search 1.0.0

MiniMax Search MCP Server - 强大的网页搜索和浏览工具（标准 MCP 实现）

MiniMax Search MCP Server

English Doc | Chinese Doc

MiniMax Search is an MCP (Model Context Protocol) server that provides web search and browsing capabilities.

🔧 Version Notes

This project uses the standard MCP Server protocol, compliant with MCP specifications:

• ✅ Complete list_tools() implementation
• ✅ Complete call_tool() implementation
• ✅ Standard stdio_server() communication

Features

• 🔍 Multi-Engine Search: Supports Google search engine
• 🚀 Parallel Search: Native support for parallel multi-query search
• 🌐 Batch Browsing: Support for batch browsing of multiple URLs
• 🤖 Intelligent Understanding: Uses MiniMax LLM to understand web content and answer questions
• 🎯 Advanced Search: Supports Google advanced search syntax
• 🔄 Auto Fallback: Automatically switches to other engines when search fails

Quick Start

Install via Git (Recommended)

# Run directly from Git repository
uvx --from git+ssh://[e-mail]:MiniMax-AI/minimax_search.git minimax-search 

Install via Local Path (Development)

# Run from local directory
uvx --from /xxx/minimax_search minimax-search

MCP Client Configuration

Add to your MCP client configuration file (e.g., mcp.json):

{
  "mcpServers": {
    "minimax_search": {
      "command": "uvx",
      "args": [
        "--from",
        "git+ssh://[e-mail]:MiniMax-AI/minimax_search.git",
        "minimax-search"
      ],
      "env": {
        "MINIMAX_API_KEY": "your_minimax_api_key",
        "SERPER_API_KEY": "your_serper_api_key",
        "JINA_API_KEY": "your_jina_api_key"
      }
    }
  }
}

Available Tools

1. search - Parallel Web Search

Search multiple queries simultaneously, returning brief results (title, URL, snippet).

Parameters:

• queries (array of strings, required): List of queries, supports Google advanced search syntax

Supported Search Engines:

• Google Search (via Serper API)

Advanced Search Syntax:

• site:example.com - Limit to specific site
• intitle:keyword - Title contains keyword
• inurl:keyword - URL contains keyword
• "exact match" - Exact phrase match

Example:

{
  "queries": ["Python asyncio tutorial", "Python threading vs asyncio"]
}

2. browse - Batch Intelligent Browsing

Visit multiple web pages, use MiniMax LLM to understand content and answer questions.

Parameters:

• urls (array of strings, required): List of target web page URLs
• query (string, required): Question to be answered

Example:

{
  "urls": [
    "https://docs.python.org/3/library/asyncio.html",
    "https://realpython.com/async-io-python/"
  ],
  "query": "Summarize the main features and use cases of asyncio"
}

Environment Variables Configuration

Required Environment Variables

Basic Search Functionality:

• SERPER_API_KEY: Google Search
  • Get it from: https://serper.dev/
  • Free tier: 2,500 requests/month

Web Browsing Functionality:

• JINA_API_KEY: Web content reading
  • Get it from: https://jina.ai/
  • Free tier available

Browse Functionality (LLM Understanding):

• MINIMAX_API_KEY: MiniMax API Key
  • Get it from: https://platform.minimax.io/

Usage Examples

Using in an Agent

Once the MCP server is started, the Agent can use the following tools:

Parallel search for multiple queries:

User: Search for "Python asyncio" and "Python threading" differences simultaneously

Agent: [Calls search tool]
→ search(queries=["Python asyncio", "Python threading"])
→ Returns search results for both queries (executed in parallel)

Batch browse multiple web pages:

User: Visit these links and summarize the main features of asyncio
     - https://docs.python.org/3/library/asyncio.html
     - https://realpython.com/async-io-python/

Agent: [Calls browse tool]
→ browse(
    urls=["https://docs.python.org/...", "https://realpython.com/..."],
    query="Summarize the main features of asyncio"
  )
→ Returns comprehensive summary and answer

Technical Implementation

Project Structure

minimax_search/
├── server.py                    # MCP Server entry point (2 tools)
├── minimax_search_browse.py     # Core search and browse implementation
├── pyproject.toml              # Project configuration
└── README.md

Core Features

Parallel Search:

• Native support for queries array
• Concurrent execution using thread pool
• Automatic formatting and grouping of results

Batch Browsing:

• Native support for urls array
• Jina Reader extracts web content (converts to Markdown)
• MiniMax LLM understands content and generates comprehensive answers

License

MIT

This project is based on the MiniMax-M2 Model project