Live web search and news for your AI agent.

1. Open Settings, then Connectors, then Add custom connector.
2. Name it NestDaddy and paste this URL:

https://mcp.nestdaddy.com/mcp?key=YOUR_KEY

Then ask Claude anything that needs today's information.

Run this once in your terminal:

claude mcp add --transport http nestdaddy https://mcp.nestdaddy.com/mcp \
  --header "Authorization: Bearer YOUR_KEY"

Add this to ~/.cursor/mcp.json (or .cursor/mcp.json in a project):

{
  "mcpServers": {
    "nestdaddy": {
      "url": "https://mcp.nestdaddy.com/mcp",
      "headers": { "Authorization": "Bearer YOUR_KEY" }
    }
  }
}

Add this to .vscode/mcp.json in your workspace:

{
  "servers": {
    "nestdaddy": {
      "type": "http",
      "url": "https://mcp.nestdaddy.com/mcp",
      "headers": { "Authorization": "Bearer YOUR_KEY" }
    }
  }
}

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

{
  "mcpServers": {
    "nestdaddy": {
      "serverUrl": "https://mcp.nestdaddy.com/mcp",
      "headers": { "Authorization": "Bearer YOUR_KEY" }
    }
  }
}

1. In your AI Agent node, add an MCP Client Tool.
2. Endpoint: https://mcp.nestdaddy.com/mcp, transport HTTP Streamable.
3. Authentication: Bearer, token YOUR_KEY.

Your workflow can now search the web and read the news on every run.

Any client that supports remote MCP over Streamable HTTP works. Send the key as a header:

URL:     https://mcp.nestdaddy.com/mcp
Header:  Authorization: Bearer YOUR_KEY

If your client cannot set headers, put the key on the URL: https://mcp.nestdaddy.com/mcp?key=YOUR_KEY.