Exa MCP
AI-native semantic web search for agents
How to Install Exa MCP
$npx exa-mcp-serverRequires Claude Desktop, Cursor, Windsurf, or another MCP-compatible client.
About Exa MCP
Exa's MCP server gives AI agents access to its semantic search engine, designed specifically for LLMs. Unlike keyword search, Exa finds conceptually similar results and can return full page content — ideal for deep research tasks.
Exa MCP is a Search MCP server designed for researchers, analysts, and engineers building grounded agents. It enables giving AI assistants live, source-grounded web access by wrapping a search provider and page-fetch step as MCP tools. Key capabilities include live web search with snippets and urls, optional full-page fetch for cited sources, configurable result counts and freshness windows, and structured tool calls that work cleanly inside an LLM context. It integrates with Google, Bing, Brave, Tavily, Exa, Perplexity, and SerpAPI, and is best suited for researchers, analysts, and engineers building grounded agents who need research and competitive analysis.
Key Features
- search
- semantic-search
- research
- web-search
- Live web search with snippets and URLs
- Optional full-page fetch for cited sources
Pricing
- Core MCP server
- Community support
- Works with any MCP client
- Everything in Free
- Higher usage limits
- Priority support
- Everything in Pro
- SLA & SSO
- Dedicated support
Tier details are indicative — visit the Exa MCP website for current pricing.
Pros & Cons
Pros
- Lets the assistant answer about events past its training cutoff
- Cites sources you can actually click
- Replaces most simple RAG pipelines
Cons
- Quality depends on the underlying search provider
- Token costs scale with how much page content you pull
- Rate limits can bite on bursty agent runs
Best For
- Research and competitive analysis
- Source-grounded answers in chat UIs
- Fact-checking long-form drafts
- Replacing manual Googling in agent loops
Screenshots
Screenshots coming soon —
Submit yours →Our Take on Exa MCP
Best semantic search MCP — far better than keyword search for research-heavy agents.