exa▌

Neural search across web, code, and company research without API keys. \n \n Three core tools: web search for news and facts, code search for GitHub and Stack Overflow examples, and company research for business intelligence \n Configurable search depth with type parameter (\"fast\" or \"deep\") for web queries and adjustable token ranges (1000–50000) for code context \n Optional advanced tools available via config update, including domain/date filtering, query expansion, full page crawling, peo

Semantic search across web, research papers, and similar content discovery via Exa API. \n \n Five endpoint modes: semantic/keyword search, content extraction, similar page discovery, direct answers, and structured research with custom output schemas \n Supports search type selection (neural embeddings, fast keyword, deep comprehensive, or auto), category filtering (research papers, GitHub, news, PDFs, tweets, etc.), and date range constraints \n Two-phase architecture with main skill for intent

Neural search for web content, code, companies, and people via the Exa MCP server.

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