MCP Server for Deep Research – a Python MCP server that turns research questions into comprehensive, well-cited reports by elaborating questions, generating sub-questions, performing web searches, analysing content and producing structured reports.
https://github.com/reading-plus-ai/mcp-server-deep-researchStop spending hours manually piecing together research from scattered sources. This MCP server transforms any research question into a comprehensive, properly cited report—automatically.
You need to research a complex topic for your project, blog post, or technical decision. You know the drill: open 20 browser tabs, take scattered notes, try to remember which source said what, and somehow synthesize it all into something coherent. Hours later, you have a decent understanding but a messy collection of half-formed notes.
MCP Server Deep Research handles this entire workflow for you. Feed it a research question, and it delivers a structured report with proper citations—no manual tab-juggling required.
This isn't just another search tool. It follows a systematic research methodology:
Technical Decision Making: Researching "Should we adopt GraphQL for our API?" becomes a comprehensive analysis covering performance implications, ecosystem maturity, team learning curve, and implementation considerations—all properly sourced.
Competitive Analysis: Instead of manually browsing competitor websites and taking notes, get a structured report comparing features, pricing strategies, and market positioning across multiple companies.
Blog Post Research: Transform "How do modern build tools compare?" into a detailed comparison with specific benchmarks, use cases, and trade-offs—complete with citations you can actually use.
Due Diligence: Research potential vendors, technologies, or partners with systematic analysis of their capabilities, reputation, and fit for your needs.
Add it to your Claude Desktop configuration and you're ready to go:
"mcpServers": {
"mcp-server-deep-research": {
"command": "uvx",
"args": ["mcp-server-deep-research"]
}
}
Then select the deep-research prompt template in Claude and start asking research questions. The server handles the rest—web searches, content analysis, and report generation happen automatically.
Systematic Coverage: No more wondering if you missed important angles. The subquestion generation ensures comprehensive coverage of your topic.
Source Quality: Built-in evaluation of information quality and credibility means you're not just getting the loudest voices—you're getting authoritative sources.
Proper Citations: Every claim in your report links back to its source. No more frantically trying to remember where you read something.
Structured Output: Get professional-quality reports as Claude artifacts that you can immediately use in presentations, documentation, or decision-making.
Time Savings: What used to take 3-4 hours of manual research now takes 10-15 minutes of automated processing.
This MCP server doesn't just search the web—it conducts research the way you would if you had unlimited time and perfect organization skills. The result? You get comprehensive, citable insights without the tedious manual work.
Ready to transform your research workflow? Install it once, and never go back to manual tab-juggling again.