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Exa MCP

Neural web search with Exa.

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About

Search the web with Exa's neural search API.

Example tools

Illustrative tool names — the actual tool set is defined by the server at runtime.

web_search
Search the web and return top results
fetch_url
Fetch and return the contents of a URL

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Frequently Asked Questions

Common questions about Exa MCP.

What does the Exa MCP provide?
The Exa MCP integrates Exa's neural search API, enabling advanced web searches. It allows users to leverage neural search capabilities to find relevant information across the web through an MCP client.
How do I configure the Exa MCP in a client like Claude Desktop?
Configuration typically involves adding the MCP server's HTTP transport URL and providing your API key within your MCP client's settings. Specific steps may vary by client, so consult your client's documentation for detailed instructions.
Does the Exa MCP require an API key?
Yes, access to the Exa MCP server requires an API key for authentication. This key is necessary to authorize your requests and utilize the underlying Exa neural search service.
What are the primary capabilities of the Exa MCP?
The Exa MCP primarily exposes tools for neural web search, allowing users to perform sophisticated queries. It provides access to Exa's search technology for enhanced information retrieval.
Are there any known limitations or prerequisites for using the Exa MCP?
A prerequisite for using the Exa MCP is obtaining an API key from Exa. Additionally, the performance and scope of search results are dependent on the capabilities and indexing of the Exa neural search API itself.

Install Exa MCP

Server URL

https://mcp.exa.ai/mcp

Claude Desktop

Add this to claude_desktop_config.json.

{
  "mcpServers": {
    "exa": {
      "url": "https://mcp.exa.ai/mcp",
      "transport": "http",
      "authType": "api_key"
    }
  }
}

Cursor

Add this to ~/.cursor/mcp.json.

{
  "mcpServers": {
    "exa": {
      "url": "https://mcp.exa.ai/mcp"
    }
  }
}

VS Code

Add this to your workspace settings.json.

{
  "mcp.servers": {
    "exa": {
      "type": "http",
      "url": "https://mcp.exa.ai/mcp"
    }
  }
}

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