AI agents access domain APIs via MCP: WHOIS, availabili

This template exposes domain-related API operations to AI agents via an MCP server built on n8n. It receives requests from AI agents, routes them as HTTP calls to a local service (localhost:5000), and supports 8 operations including WHOIS lookup, domain availability check, batch processing, and database queries. Parameters are dynamically populated using $fromAI() expressions, and responses are returned directly to the agent.

## Who it´s for
- AI agent developers integrating domain data
- Domain name analysts automating bulk checks
- n8n owners extending AI capabilities with MCP tools
- Cybersecurity teams monitoring domain activity

## What the automation does
- Receives AI agent requests via MCP server or tool call
- Transforms $fromAI() parameters into structured HTTP requests
- Executes domain operations: WHOIS, availability, batch tasks, DB search
- Routes requests to local API service (port 5000)
- Returns API-formatted responses directly to the AI agent

## What´s included
- Ready-to-use n8n workflow
- Trigger logic for ai_tool_call and mcp_server_request
- Integrations with LangChain, MCP Server, and HTTP API
- Support for Bulk WHOIS API and Localhost API (port 5000)
- Basic text guide for launch and adaptation

## Requirements for setup
- n8n instance with HTTP node access
- Running local domain API server on localhost:5000
- AI agent configured with MCP and tool support
- Credentials for required integrations (if applicable)

## Benefits and outcomes
- Faster domain data processing through AI agents
- Centralized access to domain APIs via MCP interface
- Scalable domain checks without manual input
- Reduced analyst workload via automated request routing
- Compatibility with existing n8n and LangChain setups

## Important: template only
Important: you are purchasing a ready-made automation workflow template only. Rollout into your infrastructure, connecting specific accounts and services, 1:1 setup help, custom adjustments for non-standard stacks and any consulting support are provided as a separate paid service at an individual rate. To discuss custom work or 1:1 help, contact via Telegram: @gleb923.