What is MCP Server for Deep Research?
MCP Server for Deep Research is a tool designed for conducting comprehensive research on complex topics. It helps users explore questions in depth, find relevant sources, and generate structured research reports.
How to use MCP Server for Deep Research?
To use the MCP Server, download Claude Desktop, install it, and select the deep-research prompt template. Then, provide a research question to start your research.
Key features of MCP Server for Deep Research?
- Question elaboration to clarify research questions.
- Subquestion generation for focused research.
- Web search integration for targeted searches.
- Content analysis for evaluating information quality.
- Report generation for well-structured research outputs.
Use cases of MCP Server for Deep Research?
- Conducting in-depth literature reviews.
- Generating comprehensive reports for academic research.
- Assisting students in formulating and answering complex research questions.
FAQ from MCP Server for Deep Research?
- Can MCP Server help with any research topic?
Yes! It is designed to assist with a wide range of research topics.
- Is there a cost to use MCP Server?
No, it is free to use.
- What platforms does MCP Server support?
It is available for macOS and Windows.
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
-
Download Claude Desktop
- Get it here
-
Install and Set Up
- On macOS, run the following command in your terminal:
python setup.py
-
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:
-
Question Elaboration
- Expands and clarifies your research question
- Identifies key terms and concepts
- Defines scope and parameters
-
Subquestion Generation
- Creates focused subquestions that address different aspects
- Ensures comprehensive coverage of the main topic
- Provides structure for systematic research
-
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
-
Content Analysis
- Evaluates information quality and relevance
- Synthesizes findings from multiple sources
- Provides proper citations for all sources
-
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
-
Sync Dependencies
uv sync
-
Build Distributions
uv build
Generates source and wheel distributions in the dist/ directory.
-
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.