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Deep Research MCP Server

@Hajime-Y

Repository

Basic information

Category

Data & Analytics

Transports

stdio

Author

Hajime-Y

Submitted by

八木原統

About Deep Research MCP Server

No overview available yet

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

Deep Research MCP Server config

Add this server to your MCP-compatible client using the configuration below.

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

Deep Research MCP Server tools

Tool list not available yet

This listing does not currently have a tool list to display. This does not mean the server has no tools; check its documentation for supported capabilities.

We auto-extract tools from the README. The maintainer can list them under a ## Tools heading to populate this section.

Overview

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

Frequently asked questions

1

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.

2

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.

3

How do I start the server?

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

4

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.

Comments

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