What is Mcp Server Deep Research

MCP Server for Deep Research is a specialized tool designed to facilitate comprehensive research on complex topics, enabling users to explore questions in depth, find relevant sources, and generate structured research reports.

Use cases

Use cases include academic projects requiring literature reviews, businesses conducting market research, and individuals seeking to explore complex topics for personal or professional purposes.

How to use

To use MCP Server for Deep Research, download the Claude Desktop application, install it using the provided command in your terminal, and start your research by selecting the deep-research prompt template and providing a research question.

Key features

Key features include question elaboration, subquestion generation, web search integration, content analysis, and report generation, all aimed at creating a systematic and thorough research workflow.

Where to use

MCP Server for Deep Research can be utilized in academic research, professional studies, market analysis, and any field that requires in-depth investigation and structured reporting.

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)

Published Servers

🛠️ 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.