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Self-hosted MCP Integration

Requirements: Configuration:
  1. Create an AI Agent in your preferred platform.
  2. Attach:
    • A Chat Model (e.g., gpt-4, gpt-4o)
    • Bright Data MCP client (via HTTP or WebSocket)
  3. Configure:
VariableValue
Commandnpx
Arguments@brightdata/mcp
EnvironmentsAPI_KEY = “<api-key>“
WEB_UNLOCKER_ZONE = “<unlocker_api_zone name>“
BROWSER_ZONE = “<browser zone name>“
RATE_LIMIT = “<rate limit format>”
Example for RATE_LIMIT: possible values: 100/1h, 50/30m, 10/5s

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SSE-Based MCP Integration

You can also integrate our MCP via SSE (Server-Sent Events)\ Requirements: Configuration:
  1. Create an AI Agent in your preferred platform.
  2. Attach:
    • A Chat Model (e.g., gpt-4, gpt-4o)
    • Bright Data MCP client (via HTTP or WebSocket)
  3. Configure SSE (Server-Sent Events) with: 
     https://mcp.brightdata.com/sse?token=YOUR_API_TOKEN_HERE
  4. In n8n, use the HTTP Request node to send prompts and receive streaming responses.
The AI agent will use the MCP client to perform the task and stream back the results in real time.
Contribution and SupportThis node was created by Miquel Colomer Salas at n8nhackers.com.
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