reading-plus-ai
MCP Serverreading-plus-aipublic

mcp server deep research

MCP Server 是一个免费的研究工具,它有助于探索复杂主题、生成结构化报告,并协助在 macOS/Windows 上进行学术研究。

Repository Info

156
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156
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Python
Language
MIT License
License

About This Server

MCP Server 是一个免费的研究工具,它有助于探索复杂主题、生成结构化报告,并协助在 macOS/Windows 上进行学术研究。

Model Context Protocol (MCP) - This server can be integrated with AI applications to provide additional context and capabilities, enabling enhanced AI interactions and functionality.

Documentation

MCP Server for Deep Research

MCP Server for Deep Research is a tool designed for conducting comprehensive research on complex topics. It helps you explore questions in depth, find relevant sources, and generate structured research reports.

Your personal Research Assistant, turning research questions into comprehensive, well-cited reports.

🚀 Try it Out

Watch the demo Youtube: https://youtu.be/_a7sfo5yxoI

  1. Download Claude Desktop

    • Get it here
  2. Install and Set Up

    • On macOS, run the following command in your terminal:
    python setup.py
    
  3. Start Researching

    • Select the deep-research prompt template from MCP
    • Begin your research by providing a research question

Features

The Deep Research MCP Server offers a complete research workflow:

  1. Question Elaboration

    • Expands and clarifies your research question
    • Identifies key terms and concepts
    • Defines scope and parameters
  2. Subquestion Generation

    • Creates focused subquestions that address different aspects
    • Ensures comprehensive coverage of the main topic
    • Provides structure for systematic research
  3. Web Search Integration

    • Uses Claude's built-in web search capabilities
    • Performs targeted searches for each subquestion
    • Identifies relevant and authoritative sources
    • Collects diverse perspectives on the topic
  4. Content Analysis

    • Evaluates information quality and relevance
    • Synthesizes findings from multiple sources
    • Provides proper citations for all sources
  5. Report Generation

    • Creates well-structured, comprehensive reports as artifacts
    • Properly cites all sources used
    • Presents a balanced view with evidence-based conclusions
    • Uses appropriate formatting for clarity and readability

📦 Components

Prompts

  • deep-research: Tailored for comprehensive research tasks with a structured approach

⚙️ Modifying the Server

Claude Desktop Configurations

  • macOS: ~/Library/Application\ Support/Claude/claude_desktop_config.json
  • Windows: %APPDATA%/Claude/claude_desktop_config.json

Development (Unpublished Servers)

"mcpServers": {
  "mcp-server-deep-research": {
    "command": "uv",
    "args": [
      "--directory",
      "/Users/username/repos/mcp-server-application/mcp-server-deep-research",
      "run",
      "mcp-server-deep-research"
    ]
  }
}

Published Servers

"mcpServers": {
  "mcp-server-deep-research": {
    "command": "uvx",
    "args": [
      "mcp-server-deep-research"
    ]
  }
}

🛠️ Development

Building and Publishing

  1. Sync Dependencies

    uv sync
    
  2. Build Distributions

    uv build
    

    Generates source and wheel distributions in the dist/ directory.

  3. Publish to PyPI

    uv publish
    

🤝 Contributing

Contributions are welcome! Whether you're fixing bugs, adding features, or improving documentation, your help makes this project better.

📜 License

This project is licensed under the MIT License. See the LICENSE file for details.

Quick Start

1

Clone the repository

git clone https://github.com/reading-plus-ai/mcp-server-deep-research
2

Install dependencies

cd mcp-server-deep-research
npm install
3

Follow the documentation

Check the repository's README.md file for specific installation and usage instructions.

Repository Details

Ownerreading-plus-ai
Repomcp-server-deep-research
LanguagePython
LicenseMIT License
Last fetched8/10/2025

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