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Exa MCP

Exa's neural search MCP — 5.1K stars, MIT.

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About

Exa MCP (exa-labs/exa-mcp-server, 5,111 stars, MIT) is Exa's neural search for agents: semantic web search, content retrieval, and research — the "search engine for AI."

Pushed Oct 2026. For agents that need high-quality web search with neural retrieval (not keyword), Exa is a top choice alongside Tavily. Usage-based.

What it can do

  • • Neural web search\n• Semantic retrieval\n• Content extraction\n• Research optimized

Setup

  1. Get API key at https://exa.ai.\n2. Install the MCP server.\n3. Set EXA_API_KEY.

Prerequisites

An Exa account; API key.

Use cases

mcpsearchresearchrag

Works with

Any agent (.md)Generic API

Trust score — 8/10

/10 trustVerified

Scored 8/10 (verified tier). 5.1K stars, MIT, active maintenance, with strong neural search quality. Docked two points: (1) usage-based; (2) overlaps Tavily. For neural agent search.

★ 5,111 GitHub stars

How the trust score is built

Full methodology →
Adoption · stars/downloads, log-scaled vs peers
7.1/10
Maintenance · recency, releases, issue load
9.6/10
Openness · license + docs
9.4/10
Manual review · sanity read + red-flag check
8.0/10
  • · 5,111 GitHub stars (log-scaled vs catalog peers)
  • · last push 6d ago; 15 releases/12mo; 45 open issues
  • · manual review: strong neural search; usage-based; license: MIT

Sources

Every fact above was checked against these sources. Where a claim comes from the provider and couldn't be independently verified, the text says so.