This Exa MCP server, developed by exa-labs, provides an interface for AI assistants like Claude to perform web searches using Exa's search API. It enables AI agents to query Exa and retrieve structured search results including titles, URLs, and content snippets through a controlled MCP server. Built in TypeScript, the implementation handles API authentication, rate limiting, and error cases. By leveraging Exa's powerful search capabilities, this server allows AI systems to access real-time web information in a safe and controlled manner. It is particularly useful for AI assistants needing to conduct research, answer questions based on current information, or provide relevant search results to users while maintaining a clear separation between the AI model and external data sources.
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Search the web for any topic and get clean, ready-to-use content.
Read a webpage's full content as clean markdown from one or more URLs.
Run an Exa Agent for multi-step research, list-building, enrichment, and structured output.
Advanced search with filters, domains, dates, highlights, summaries, and subpage crawling.