If you want to learn:
- How to build and use MCP servers with n8n and Claude?
- How to integrate AI agents with external tools using the Model Context Protocol?
- How to create custom MCP servers that can be called by Claude and other AI applications?
- How to connect n8n workflows as MCP clients and servers for advanced automation?
- How to use MCP integration to access third-party tools not available in n8n?
- How to publish production-ready MCP server endpoints that AI models can discover and use?
Then this lecture is for you!
This lecture demonstrates how to build and deploy MCP servers using n8n workflow automation and integrate them with Claude AI. You'll learn how to configure n8n as an MCP client to connect to external MCP servers, enabling your AI agents to use third-party tools like Hunter and FireCrawl for sales prospecting. The tutorial covers creating a prospecting sub-agent workflow that leverages multiple MCP tools, then transforming that workflow into a custom MCP server using the MCP Server Trigger node. You'll see how to publish your n8n MCP server to production, generate an MCP server endpoint URL, and connect it to Claude Desktop as a custom connector. The lecture walks through a complete use case: building an AI-powered sales prospecting tool that finds consulting firm targets with verified email addresses. You'll learn how Claude can discover and invoke your custom MCP tools, how to troubleshoot MCP integration using execution logs, and how to orchestrate complex automation workflows where n8n functions as both an MCP client and server simultaneously. By the end, you'll understand the Model Context Protocol architecture, how to configure MCP connections, and how to extend AI capabilities by integrating n8n with Claude Code and other LLM applications through MCP endpoints.