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Exa Search MCP

Web & Search

AI-native search engine integration. Semantic search with neural retrieval for research tasks.

Author

Exa

Category

Web & Search

GitHub Stars

600+

Clients

2 supported

Sample Configuration

Add this to your MCP client configuration file (e.g., claude_desktop_config.json for Claude Desktop):

{
  "mcpServers": {
    "exa": {
      "command": "npx",
      "args": [
        "-y",
        "@modelcontextprotocol/server-exa"
      ]
    }
  }
}

Use our MCP Manifest Generator to build complete configurations visually, or the MCP Config Validator to check your existing config.

Compatible Clients

Claude DesktopCursor

Details

Server IDexa
AuthorExa
CategoryWeb & Search
Compatible WithClaude Desktop, Cursor
Tags
searchsemanticresearch
GitHubhttps://github.com/exa-labs/exa-mcp-server
GitHub Stars600+

About Exa Search MCP

Exa Search MCP is a Model Context Protocol (MCP) server created by Exa. It enables AI assistants to interact with Exa Search capabilities.

MCP (Model Context Protocol) is an open standard that allows AI models to securely connect to external tools and data sources. By installing Exa Search MCP, you give your AI assistant the ability to perform real actions through a standardized interface, rather than just generating text about them.

This server is compatible with Claude Desktop, Cursor and has 600+ stars on GitHub. It falls under the "Web & Search" category of MCP servers.

To get started, use our MCP Manifest Generator to create a complete configuration, or validate your existing setup with the MCP Config Validator.

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FAQ

How do I install Exa Search MCP?

Visit the GitHub repository at https://github.com/exa-labs/exa-mcp-server for detailed installation instructions. Setup steps vary depending on your MCP client.

What clients work with Exa Search MCP?

Exa Search MCP is compatible with Claude Desktop, Cursor. Each client has its own configuration file format, but the MCP server setup is similar across all of them.

What can I do with Exa Search MCP?

AI-native search engine integration. Semantic search with neural retrieval for research tasks. Once configured, your AI assistant can interact with these capabilities through natural language commands, making it possible to perform real actions directly from your AI chat interface.