Websets MCP

Documentation Index

Fetch the complete documentation index at: https://exa.ai/docs/llms.txt

Use this file to discover all available pages before exploring further.

• Find AI startups in San Francisco with funding over $10M
• Build a database of companies and enrich with CEO names, revenue, employee counts
• Create a list of research papers and extract key findings
• Subscribe to webhooks to be notified when searches and enrichments complete
• Bring your own CSV data into Websets via imports for scoping or exclusion

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Installation

https://websetsmcp.exa.ai/mcp?exaApiKey=YOUR_EXA_API_KEY

• Cursor
• VS Code
• Claude Code
• Claude Desktop
• Windsurf
• Other

Or add to ~/.cursor/mcp.json:

{
  "mcpServers": {
    "websets": {
      "url": "https://websetsmcp.exa.ai/mcp?exaApiKey=YOUR_EXA_API_KEY"
    }
  }
}

Or add to .vscode/mcp.json:

{
  "servers": {
    "websets": {
      "type": "http",
      "url": "https://websetsmcp.exa.ai/mcp?exaApiKey=YOUR_EXA_API_KEY"
    }
  }
}

Run in terminal:

claude mcp add --transport http websets "https://websetsmcp.exa.ai/mcp?exaApiKey=YOUR_EXA_API_KEY"

Add to your Claude Desktop config file:macOS: ~/Library/Application Support/Claude/claude_desktop_config.jsonWindows: %APPDATA%\Claude\claude_desktop_config.json

{
  "mcpServers": {
    "websets": {
      "command": "npx",
      "args": ["-y", "mcp-remote", "https://websetsmcp.exa.ai/mcp?exaApiKey=YOUR_EXA_API_KEY"]
    }
  }
}

Add to ~/.codeium/windsurf/mcp_config.json:

{
  "mcpServers": {
    "websets": {
      "serverUrl": "https://websetsmcp.exa.ai/mcp?exaApiKey=YOUR_EXA_API_KEY"
    }
  }
}

For other MCP clients that support remote MCP:

{
  "mcpServers": {
    "websets": {
      "url": "https://websetsmcp.exa.ai/mcp?exaApiKey=YOUR_EXA_API_KEY"
    }
  }
}

If your client doesn’t support remote MCP servers directly:

{
  "mcpServers": {
    "websets": {
      "command": "npx",
      "args": ["-y", "mcp-remote", "https://websetsmcp.exa.ai/mcp?exaApiKey=YOUR_EXA_API_KEY"]
    }
  }
}

​

Available Tools

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Key Concepts

• company - companies and startups
• person - individuals (e.g., for recruiting)
• research_paper - academic papers
• article - blog posts and news articles
• custom - define your own entity type

• text - free-form text (CEO name, description)
• number - numeric values (employee count, revenue)
• date - dates (founding date, funding date)
• email, phone, url - contact info
• options - multiple choice (e.g., funding stage: Seed, Series A, Series B)

• Criteria (filters): “AI company”, “Founded after 2020”, “Has raised funding”
• Enrichments (data to extract): CEO name (text), funding amount (number), founding date (date)

​

Resources

• Websets API Docs - Full API reference
• Try Websets - Visual interface for websets

Create a webset of AI startups in San Francisco founded after 2020. Find 10 companies and enrich with CEO name and funding amount.

Search for 5 more AI companies that have raised Series A funding.

Add an enrichment to extract employee count for each company.

Create a webhook to https://example.com/hook subscribed to webset.search.completed and webset.enrichment.completed events.