Exa MCP
Give AI agents live, meaning-based web search through Exa over MCP
A Model Context Protocol integration exposes Exa's search, content extraction, find-similar, and answer capabilities as tools an autonomous agent can call. Agents can search the live web by meaning, pull clean page content, find related sources, and return cited answers — all within a permissioned, auditable flow.
Run meaning-based queries and get semantically ranked, current results with relevance scores.
Retrieve clean parsed text, highlights, and summaries from any result URL for grounding.
Pass a URL and discover conceptually related pages to expand or triangulate research.
Ask a question and receive a synthesized answer backed by linked source citations.
We build agents that decompose a brief, search Exa iteratively, extract and cross-check sources, and return a cited synthesis — replacing hours of manual desk research.
Scheduled agents query Exa for new developments in a client's category, dedupe against prior runs, and push summarized, sourced alerts into Slack or the CRM.
Content and outreach agents call Exa mid-task to ground each claim in live sources, keeping AI-generated copy current and attributable before it ships.
It can search the web by meaning, extract clean content from specific pages, find pages similar to a reference URL, and get citation-backed answers — the full retrieval loop an agent needs to research and ground its work autonomously.
We scope which Exa tools an agent can call, cap result volume and query frequency, and log every call with its sources, so autonomous retrieval stays governed and auditable.
Yes. Because MCP standardizes the interface, an agent can take Exa's parsed content and citations and hand them to CRM, warehouse, or messaging tools in the same run, chaining retrieval into real actions.
Let's grow.
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