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Deep Research MCP Server

by Hajime-Y

深度研究 MCP 服务器

Deep Research 是一款基于代理的工具,提供网页搜索和高级研究功能。它利用 HuggingFace 的smolagents ,并以 MCP 服务器的形式实现。

该项目基于HuggingFace 的 open_deep_research 示例

特征

  • 网络搜索和信息收集

  • PDF和文档分析

  • 图像分析与描述

  • YouTube 成绩单检索

  • 档案网站搜索

要求

  • Python 3.11 或更高版本

  • uv包管理器

  • 以下 API 密钥:

    • OpenAI API 密钥

    • HuggingFace 代币

    • SerpAPI 密钥

安装

  1. 克隆存储库:

git clone https://github.com/Hajime-Y/deep-research-mcp.git cd deep-research-mcp
  1. 创建虚拟环境并安装依赖项:

uv venv source .venv/bin/activate # For Linux or Mac # .venv\Scripts\activate # For Windows uv sync

环境变量

在项目根目录下创建.env文件,并设置以下环境变量:

OPENAI_API_KEY=your_openai_api_key HF_TOKEN=your_huggingface_token SERPER_API_KEY=your_serper_api_key

您可以通过在Serper.dev注册来获取 SERPER_API_KEY。

用法

启动 MCP 服务器:

uv run deep_research.py

这将启动deep_research代理作为 MCP 服务器。

Docker 使用

您还可以在 Docker 容器中运行此 MCP 服务器:

# Build the Docker image docker build -t deep-research-mcp . # Run with required API keys docker run -p 8080:8080 \ -e OPENAI_API_KEY=your_openai_api_key \ -e HF_TOKEN=your_huggingface_token \ -e SERPER_API_KEY=your_serper_api_key \ deep-research-mcp

注册 MCP 客户端

要将此 Docker 容器在不同的客户端中注册为 MCP 服务器:

克劳德桌面

将以下内容添加到您的 Claude Desktop 配置文件中(通常位于 Linux 上的~/.config/Claude/claude_desktop_config.json 、macOS 上的~/Library/Application Support/Claude/claude_desktop_config.json或 Windows 上的%APPDATA%\Claude\claude_desktop_config.json ):

{ "mcpServers": { "deep-research-mcp": { "command": "docker", "args": [ "run", "-i", "--rm", "-e", "OPENAI_API_KEY=your_openai_api_key", "-e", "HF_TOKEN=your_huggingface_token", "-e", "SERPER_API_KEY=your_serper_api_key", "deep-research-mcp" ] } } }

游标 IDE

对于 Cursor IDE,添加以下配置:

{ "mcpServers": { "deep-research-mcp": { "command": "docker", "args": [ "run", "-i", "--rm", "-e", "OPENAI_API_KEY=your_openai_api_key", "-e", "HF_TOKEN=your_huggingface_token", "-e", "SERPER_API_KEY=your_serper_api_key", "deep-research-mcp" ] } } }

与远程 MCP 服务器一起使用

如果您在远程计算机上运行 MCP 服务器或将其作为服务公开,则可以使用基于 URL 的配置:

{ "mcpServers": { "deep-research-mcp": { "url": "http://your-server-address:8080/mcp", "type": "sse" } } }

关键组件

  • deep_research.py :MCP 服务器的入口点

  • create_agent.py :代理创建和配置

  • scripts/ :各种工具和实用程序

    • text_web_browser.py :基于文本的 Web 浏览器

    • text_inspector_tool.py :文件检查工具

    • visual_qa.py :图像分析工具

    • mdconvert.py :将各种文件格式转换为 Markdown

执照

该项目根据 Apache License 2.0 提供。

致谢

该项目使用了 HuggingFace 的smolagents和 Microsoft 的autogen项目的代码。

-
security - not tested
A
license - permissive license
-
quality - not tested

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