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Deep_research

@Hajime-Y

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Deep_research について

概要はまだありません

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

基本情報

カテゴリ

データと分析

トランスポート

stdio

公開者

Hajime-Y

投稿者

八木原統

設定

以下の設定を使って、このサーバーを MCP 対応クライアントに追加してください。

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

ツール

ツールは検出されませんでした

ツールは README から自動的に抽出されます。メンテナーは ## Tools という見出しの下に記載することで、このタブに反映できます。

概要

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

FAQ from Deep_research

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.

コメント

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