$ loading_
Use Exa, Websets, and Deep Search for research, code search, and citations.
Copy the install command and let the AI configure it · recommended for beginners
No copy-paste install info for "exa-websets-mcp" yet — see the docs or source repo.
Use Exa and Deep Search to find open-source implementations for 'RAG document deduplication and reranking,' prioritizing GitHub repositories, technical blogs, and papers, then organize them into a structured list with source links.
A categorized list of approaches with project summaries, use cases, and traceable citation links.
Using Websets and Deep Search, research five AI coding assistant products and summarize their core features, pricing, target users, and differentiators with structured citations.
A competitor comparison table and concise findings, with clear sources for each data point.
Help me verify the claim that 'vector databases may not outperform full-text search for small knowledge bases' by finding supporting and opposing sources, then output the evidence and citations.
A balanced evidence summary showing arguments on both sides, with source links and strength of evidence.
Perform fast intelligent web search, crawling, and code context retrieval.
Connect AI assistants to Exa for web, code, and company search.
Use Exa neural search for web, code, company, and people research.
Search the web, extract pages, calculate results, and export research reports.
Lets MCP clients search the web and fetch pages without API keys.
Search, crawl, and collect structured web data through an MCP server.