Deep Research MCP Server

@Hajime-Y

代码仓库

基本信息

分类

数据与分析

传输方式

stdio

作者

Hajime-Y

提交者

八木原統

关于 Deep Research MCP Server

暂无概览

#deep-research #web-search#agent-based-tool

Deep Research 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": {
    "deep_research": {
      "command": "uv",
      "args": [
        "--directory",
        "/YOUR_ABSOLUTE_PATH_TO/deep-research-mcp",
        "run",
        "deep_research.py"
      ]
    }
  }
}

Deep Research 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 Deep_research?

Deep_research is an agent-based tool that provides web search and advanced research capabilities. It leverages HuggingFace’s smolagents and is implemented as an MCP (Model Context Protocol) server, designed for users who need automated information gathering from multiple sources.

How to use Deep_research?

After cloning the repository, create a virtual environment with uv, install dependencies with uv sync, and set the required environment variables (OPENAI_API_KEY, HF_TOKEN, SERPER_API_KEY) in a .env file. Start the MCP server by running uv run deep_research.py.

Key features of Deep_research

Web search and information gathering
PDF and document analysis
Image analysis and description
YouTube transcript retrieval
Archive site search

Use cases of Deep_research

Automating web research for reports or articles
Extracting and summarizing content from PDF documents
Analyzing images and generating descriptions
Fetching and processing YouTube video transcripts
Searching archived web pages for historical data

常见问题

What are the dependencies and runtime requirements?

Python 3.11 or higher and the `uv` package manager are required. The server also needs API keys for OpenAI, HuggingFace, and SerpAPI.

How do I obtain the required API keys?

An OpenAI API key, a HuggingFace token, and a SerpAPI key (sign up at Serper.dev) must be set as environment variables in a `.env` file.

How do I start the server?

Run `uv run deep_research.py` from the project root after installing dependencies and configuring environment variables.

What tools or components are included?

Key scripts include `text_web_browser.py`, `text_inspector_tool.py`, `visual_qa.py` for image analysis, and `mdconvert.py` for converting files to Markdown.

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