Deep Research

What is MCP Server for Deep Research?

MCP Server for Deep Research is a lightweight MCP server designed to provide automated deep research exploration and structured reporting. It acts as a personal research assistant, transforming research questions into comprehensive, well-cited reports. It offers capabilities similar to Grok, OpenAI, Gemini, and Perplexity.

How to use MCP Server for Deep Research?

1. Download Claude Desktop: Obtain Claude Desktop from here.
2. Install and Set Up: On macOS, run python setup.py in your terminal.
3. Start Researching: Select the deep-research prompt template from MCP and provide your research question.

For development, you can configure mcpServers in Claude Desktop configurations (~/Library/Application\ Support/Claude/claude_desktop_config.json on macOS) to point to your local repository for unpublished servers or use uvx for published servers.

Key Features of MCP Server for Deep Research

• Question Elaboration: Expands and clarifies research questions, identifies key terms, and defines scope.
• Subquestion Generation: Creates focused subquestions for comprehensive coverage.
• Web Search Integration: Utilizes Claude's web search to find relevant and authoritative sources, collecting diverse perspectives.
• Content Analysis: Evaluates information quality, synthesizes findings from multiple sources, and provides proper citations.
• Report Generation: Creates well-structured, comprehensive reports with proper citations, presenting evidence-based conclusions.

Use Cases of MCP Server for Deep Research

• Conducting comprehensive research on complex topics.
• Generating structured research reports for academic or professional purposes.
• Exploring questions in depth and finding relevant sources efficiently.
• Automating the research workflow from question to report.

FAQ about MCP Server for Deep Research

Q: What is MCP? A: MCP (Multi-Agent Collaboration Platform) is a framework that allows different AI agents to collaborate on tasks. This project is a server that integrates with MCP.

Q: What is Claude Desktop? A: Claude Desktop is a desktop application that provides an interface for interacting with Claude, an AI assistant. This project leverages Claude's capabilities for web search and content analysis.

Q: Can I contribute to this project? A: Yes, contributions are welcome for bug fixes, feature additions, or documentation improvements. The project is licensed under the MIT License.

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.