exa-search

Semantic web search retrieves results based on meaning and context rather than exact keywords. Exa's semantic search tools like web_search_exa understand the intent behind queries, making them ideal for documentation lookup and research when you don't know the precise terminology.

Yes. Exa's web_search_exa and crawling_exa tools are designed for context-aware documentation and technical information retrieval. They work best when you need to locate resources but lack exact keyword matches.

Semantic search understands query context and meaning to deliver relevant results even with imprecise terms, while regular keyword search matches exact phrases. Exa's semantic approach excels at research and profiling tasks requiring contextual understanding.

Exa's company_research_exa and linkedin_search_exa tools perform contextual research on organizations and professionals. They return semantically relevant results that capture company information and professional profiles beyond simple name matching.

Configure Exa as a remote HTTP MCP at ~/.mcp.json to expose the web_search_exa, crawling_exa, company_research_exa, linkedin_search_exa, and deep_researcher tools. Once configured, use these tools instead of standard web search for semantic tasks.

Yes. Exa provides deep_researcher_start and deep_researcher_check tools that enable multi-step research workflows. Use deep_researcher_start to initiate investigation, then deep_researcher_check to monitor and verify results.