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Exa MCP

Semantic/neural search that finds conceptually related content. Best for research and discovery where keyword search fails.

0% Pass ❌Key Required 🔑Tested 📅
0% (0/2 tasks)
View on GitHubby Exa Labs

Benchmark results

Pass Rate
0%(5 tasks)
0% (0/2 tasks)
Speed223ms p50223ms p50
Tested OnJun 8, 20262 tools found
MetricValue
Tools discovered2 tools found
ScopeCloud / Remote
PricingFreemium
Auth requirementRequires EXA_API_KEY
VerdictUnder evaluation. All tasks failed

Install config

Claude Desktop (macOS)
{"mcpServers": {"exa": {"command": "npx", "args": ["-y", "exa-mcp-server@latest"], "env": {"EXA_API_KEY": "your-key"}}}}
Cursor
{"mcpServers": {"exa": {"command": "npx", "args": ["-y", "exa-mcp-server@latest"], "env": {"EXA_API_KEY": "your-key"}}}}
VS Code
// .vscode/mcp.json
{
  "servers": {
    "exa": {
      "command": "npx",
      "args": ["-y", "exa-mcp-server@latest"],
      "env": {"EXA_API_KEY": "your-key"}
    }
  }
}

Pros

  • +Server starts successfully

Cons

  • Some tasks failed testing
  • May require API key

Best for

Web search, content extraction, research

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Frequently asked questions

How do I install Exa MCP?

Copy the config above into your AI assistant's MCP settings file:

  • Claude Desktop: ~/Library/Application Support/Claude/claude_desktop_config.json
  • Cursor: Settings → MCP → Add Server
  • VS Code: .vscode/mcp.json
Does it require an API key?

Yes. You need to set the EXA_API_KEY environment variable. We could not test this server without credentials, so our evaluation is based on documentation and community reports.

How were these results measured?

We run each server through a standardized test harness that:

  1. Installs the server via npx in a fresh environment
  2. Discovers available tools using the MCP SDK
  3. Executes real tasks (navigate, click, screenshot, etc.)
  4. Validates outputs with semantic assertions (not string matching)
  5. Measures latency percentiles and pass rate

All test scripts are open source on GitHub.

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