If you want to learn:
- How to build multi-agent AI systems that can use multiple tools simultaneously?
- How to integrate MCP servers with AI agents in n8n for real-world automation?
- How to connect Hunter.io API with MCP client for sales prospecting workflows?
- How to configure authentication and endpoints for streamable HTTP transport in MCP?
- How to create AI agents that automatically search, scrape, and find professional email addresses?
- How to structure JSON output from AI agent workflows using schema validation?
Then this lecture is for you!
In this step-by-step tutorial, you'll learn how to build a sophisticated multi-agent system in n8n using MCP client tool nodes and Hunter.io integration. You'll discover how to configure MCP servers with streamable HTTP transport, set up Bearer authentication for secure API connections, and create AI agents that can orchestrate multiple tools simultaneously. The lecture demonstrates a real-world sales prospecting workflow where an AI agent uses FireCrawl for web scraping and searching, then leverages Hunter.io's MCP server to find verified professional email addresses for potential clients. You'll see how the agent node intelligently routes between different MCP tools, making up to 13 API calls to complete complex tasks. Learn how to define system prompts that guide agent behavior, implement structured output parsers for JSON responses, and debug multi-agent workflows using n8n's visual workflow interface. By the end, you'll understand how Model Context Protocol enables AI agents to discover and use tools dynamically, how to manage credential systems for multiple external APIs, and how to build agentic automation that combines web research with CRM data enrichment for business applications.