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Ai Smart Search MCP Server

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关于 Ai Smart Search MCP Server

AI Smart Search MCP Tool - 深度搜索+AI智能分析，基于小米MiMo大模型和Tavily搜索

Ai Smart Search MCP Server 配置

使用下面的配置,将此服务器添加到你的 MCP 客户端。

{
  "mcpServers": {
    "mcp-ai-search": {
      "command": "python",
      "args": [
        "entry.py"
      ]
    }
  }
}

Ai Smart Search MCP Server 工具

工具列表暂未提供

当前收录暂时没有可展示的工具列表，不代表服务没有工具。请查阅项目文档了解支持的能力。

工具是从 README 中自动提取的。维护者可以在 ## Tools 标题下列出工具,即可填充这部分内容。

概览

What is Ai Smart Search?

Ai Smart Search is an MCP (Model Context Protocol) server that combines Tavily web search with Xiaomi MiMo AI (mimo-v2.5-pro) for deep analysis. It is designed for users who need structured search results with AI‑generated summaries and source references.

How to use Ai Smart Search?

Set the environment variables MIMO_API_KEY and TAVILY_API_KEY (and optionally MIMO_BASE_URL and MIMO_MODEL). Install dependencies with pip install -r requirements.txt, then run python entry.py in stdio mode, or add the server configuration to your MCP client. The single tool is deep_search(query, max_results=5, language="中文").

Key features of Ai Smart Search

  • Single MCP tool deep_search for combined web search and AI analysis
  • Integration with Tavily Search API
  • Deep analysis by Xiaomi MiMo AI model mimo-v2.5-pro
  • Structured output: AI analysis summary plus reference list
  • Configurable maximum results and language parameter
  • Uses stdio transport protocol

Use cases of Ai Smart Search

  • Researching a topic with web search followed by AI summarization
  • Getting answers with verified source references
  • Using Chinese‑language queries for localized results
  • Integrating deep search capabilities into MCP‑compatible tools or workflows

常见问题

1

What API keys are required?

You need a valid Tavily API key and a valid Xiaomi MiMo API key.

2

What Python version is required?

Python 3.10 or higher.

3

What transport protocol does it use?

It uses stdio transport.

4

Can I use a different MiMo API endpoint or model?

Yes, the `MIMO_BASE_URL` and `MIMO_MODEL` environment variables allow you to change the API base URL and model name.

5

What does the `deep_search` tool return?

It returns a structured result containing an AI analysis summary and a list of reference sources.

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