Mcp Server For Deep Research

What is MCP Server Deep Research?

MCP Server Deep Research is an innovative project hosted on GitHub by the user reading-plus-ai. This repository focuses on advanced research and development in the field of server management and optimization. It aims to provide tools and methodologies that enhance server performance, scalability, and reliability. The project is publicly accessible, allowing developers and researchers to collaborate, contribute, and utilize the resources available.

Features of MCP Server Deep Research

• Open Source: The project is open for contributions, allowing developers to fork, star, and collaborate on various features and improvements.
• Robust Documentation: Comprehensive documentation is provided to help users understand the functionalities and implementation of the tools.
• Community Support: A growing community of contributors and users who provide support, share insights, and collaborate on enhancements.
• Regular Updates: The repository is actively maintained, with regular updates that introduce new features and fix bugs.
• License: The project is licensed under the MIT license, promoting freedom to use, modify, and distribute the software.

How to Get Started with MCP Server Deep Research

1. Visit the Repository: Go to the MCP Server Deep Research GitHub page.
2. Clone the Repository: Use Git to clone the repository to your local machine:

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

3. Explore the Documentation: Review the README and other documentation files to understand the project structure and usage.
4. Contribute: If you wish to contribute, fork the repository, make your changes, and submit a pull request for review.
5. Engage with the Community: Join discussions, report issues, and participate in the community to enhance your learning and contribute to the project.

Frequently Asked Questions

Q1: What technologies are used in MCP Server Deep Research?

A1: The project utilizes a variety of technologies, including programming languages like Python and JavaScript, along with frameworks and libraries that support server management and optimization.

Q2: How can I report issues or bugs?

A2: You can report issues by navigating to the "Issues" tab on the GitHub repository and submitting a new issue with detailed information about the problem.

Q3: Is there a way to contribute to the project?

A3: Yes, contributions are welcome! You can fork the repository, make changes, and submit a pull request. Ensure to follow the contribution guidelines outlined in the documentation.

Q4: Can I use MCP Server Deep Research for commercial purposes?

A4: Yes, the project is licensed under the MIT license, which allows for commercial use, modification, and distribution.

Q5: How often is the repository updated?

A5: The repository is actively maintained, with updates being made regularly to introduce new features, improvements, and bug fixes. Check the commit history for the latest changes.

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

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.