Ai Smart Search

by asdqwsadq

277 downloads

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About

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

Details

Author: asdqwsadq
Downloads: 277
Categories: 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

Setting up with Highlight

This MCP is not yet compatible with Highlight’s one-click setup. However, you can still use it with Highlight by following these steps:

Download and install Highlight from highlightai.com/download
Navigate to the plugins tab and select "Add Custom Plugin"
Configure the plugin with the settings below

Plugin Name Ai Smart Search

Command (node, npx, python, etc.)

Please refer to the README for specific instructions on how to obtain API keys or other required environment variables.
Enable "Start Automatically" if you want the plugin to start when Highlight launches

Setting up with Cursor

Open Cursor's settings
Navigate to the MCP section
Click "Add new Global MCP server"
Copy and paste the configuration below based on your operating system

JSON

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

JSON

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

JSON

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

Setting up with Claude Desktop

Open Claude Desktop's settings
Go to the Integrations tab
Click "Add MCP Server"
Use the configuration below based on your operating system

Note: Make sure Claude Desktop is running before attempting to connect.

JSON

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

JSON

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

JSON

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

Setting up with Windsurf

Open Windsurf's preferences
Go to the Integrations section
Click "Add MCP Integration"
Use the configuration below based on your operating system

JSON

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

JSON

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

JSON

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

Setting up with Cline

Open Cline's settings
Navigate to the Integrations section
Click "Add MCP Server"
Copy and paste the configuration below based on your operating system

Note: Make sure to restart Cline after adding the configuration.

JSON

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

JSON

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

JSON

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

Setting up with Goose

Open Goose's preferences
Go to the Integrations tab
Select "MCP Servers"
Click "Add New Server"
Use the configuration below based on your operating system

JSON

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

JSON

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

JSON

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

From the repository

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").

Claude Desktop / Cursor

Paste into your MCP client config file to install this server.

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

McpServers

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

AI Smart Search (智能深度搜索助手)

一个基于 MCP (Model Context Protocol) 的智能搜索工具，结合了 Tavily 网络搜索与小米 MiMo AI 深度分析能力。

功能

提供1个 MCP 工具：

`deep_search(query, max_results=5, language="中文")`

1. 使用 Tavily Search API 进行网络搜索
2. 将搜索结果发送给小米 MiMo AI（mimo-v2.5-pro）进行深度分析和总结
3. 返回结构化结果：AI 分析总结 + 参考来源列表

安装

前置要求

- Python 3.10+
- 有效的 Tavily API Key
- 有效的小米 MiMo API Key

本地运行

```bash

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Details

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Setting up with Highlight

From the repository

Claude Desktop / Cursor

McpServers

AI Smart Search (智能深度搜索助手)

功能

deep_search(query, max_results=5, language="中文")

安装

前置要求

本地运行

Install

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`deep_search(query, max_results=5, language="中文")`