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Run parallel research across public sources and get normalized results fast.
Copy the install command and let the AI configure it · recommended for beginners
No copy-paste install info for "research-dispatcher-mcp" yet — see the docs or source repo.
Search GitHub, Hacker News, Reddit, and Brave Search in parallel for "LangGraph". Summarize top discussions, common pros and cons, active repositories, and recent trends, then return normalized results grouped by source.
A source-grouped research brief with links, discussion highlights, project activity, and trend conclusions.
Search public information about "AI coding agents" across Reddit, Hacker News, GitHub, and Brave Search in parallel. Identify top topics from the last month, representative posts, relevant projects, and key user concerns.
A recent momentum report showing main discussion themes, representative links, and user demand signals.
Search for "vector database" across GitHub, Reddit, Hacker News, and Brave Search in parallel. Collect leading products, community feedback, common issues, and emerging projects, then return a normalized list.
A normalized competitor and community signal list for follow-up market or product analysis.
Break down complex research questions and produce structured, credibility-scored reports.
Turn research questions into evidence-backed answers from Hacker News and arXiv.
Research the web with real sources, citations, and honest synthesized findings.
Add semantic search and document retrieval to Deep Research with custom knowledge.
Search papers, summarize research, manage notes, and sync findings to GitHub.
Search the web, clean pages, and generate research dossiers for AI agents.