$ loading_
Break down complex research questions and produce structured, credibility-scored reports.
Copy the install command and let the AI configure it · recommended for beginners
No copy-paste install info for "MCP-Deep-Researcher" yet — see the docs or source repo.
Research five AI knowledge management products. Analyze their target users, core features, pricing models, and recent funding or growth signals. Generate a structured markdown report with source credibility scoring, conclusions, and a comparison table.
A sectioned markdown competitor research report with citations, credibility scoring, summaries, and a comparison table.
Investigate whether vector databases are suitable for a mid-sized enterprise RAG system. Break the topic into sub-questions on performance, cost, deployment complexity, security, and operational requirements, then compile a structured markdown report.
A technical research report organized by sub-question, including multi-source findings, credibility judgments, and a final recommendation.
Analyze how European AI regulations affect generative AI SaaS companies. Break the topic into compliance requirements, market opportunities, potential risks, and product adjustment recommendations, then output a structured markdown report.
A research report combining policy information and market observations, with thematic conclusions, cited sources, and action recommendations.
Conduct multi-source web research and produce cited, source-attributed reports.
Automate end-to-end research from web search to structured executive reports.
Research the web with real sources, citations, and honest synthesized findings.
Automate web research, summarize findings, and generate structured reports from prompts.
Add semantic search and document retrieval to Deep Research with custom knowledge.
Conduct multi-source web research and synthesize citation-backed findings efficiently.