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Exa MCP

AI-native semantic web search for agents

SearchFreemiumClaudeCursorWindsurfAll ModelsEasy
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Active
Last code update: September 23, 2026License: MITChecked September 28, 2026

How to Install Exa MCP

$npx exa-mcp-server

Requires Claude Desktop, Cursor, Windsurf, or another MCP-compatible client.

Setup by client

Claude Desktop (claude_desktop_config.json)

{
  "mcpServers": {
    "exa-mcp": {
      "command": "npx",
      "args": [
        "exa-mcp-server"
      ]
    }
  }
}

Cursor (~/.cursor/mcp.json)

{
  "mcpServers": {
    "exa-mcp": {
      "command": "npx",
      "args": [
        "exa-mcp-server"
      ]
    }
  }
}

VS Code (.vscode/mcp.json)

{
  "servers": {
    "exa-mcp": {
      "type": "stdio",
      "command": "npx",
      "args": [
        "exa-mcp-server"
      ]
    }
  }
}

Claude Code (terminal)

claude mcp add exa-mcp -- npx exa-mcp-server

Add any API keys or environment variables the server's README lists.

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, which makes it ideal for deep research tasks. For quick answers with snippets and source URLs, the Tavily MCP setup is a lighter option.

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

Freemium: from Free (pay-per-query after free tier)

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

Our Take on Exa MCP

Best semantic search MCP: far better than keyword search for research-heavy agents.

Frequently Asked Questions

Tags

#Search#search#semantic-search#research#web-search