The Claude Deep Research MCP Server is a powerful tool designed to assist in conducting comprehensive research on complex topics. It enables users to explore questions in depth, find relevant sources, and generate structured research reports. Think of it as your personal research assistant, turning research questions into well-cited, comprehensive reports.
shell
python setup.py
Demo:
Youtube: https://youtu.be/_a7sfo5yxoI
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.
~/Library/Application\ Support/Claude/claude_desktop_config.json
%APPDATA%/Claude/claude_desktop_config.json
"mcpServers": {
"mcp-server-deep-research": {
"command": "uv",
"args": [\
"--directory",\
"/Users/username/repos/mcp-server-application/mcp-server-deep-research",\
"run",\
"mcp-server-deep-research"\
]
}
}
"mcpServers": {
"mcp-server-deep-research": {
"command": "uvx",
"args": [\
"mcp-server-deep-research"\
]
}
}
shell
uv sync
shell
uv build
dist/
directory. shell
uv publish
Contributions are welcome! Whether you're fixing bugs, adding features, or improving documentation, your help makes this project better.
This project is licensed under the MIT License. See the LICENSE file for details.