Agentic AI with n8n and MCP

Overview

Agentic AI with n8n and MCP focuses on connecting AI agents to real systems with low code. You will work through lead intake, email triage,…

What you will learn

• Describe agentic architectures and select workflow, autonomous, or human-in-the-loop patterns (Module 1).
• Build, debug, and run n8n workflows with webhooks, schedules, and APIs (Module 2).
• Use AI nodes for classification, summarization, and structured outputs (Module 3).
• Build a tool-using agent with memory in n8n (Module 4).

Prerequisites

• Required: Basic understanding of APIs and JSON. Access to an n8n instance and an LLM API key [confirm whether provided]. Some scripting exposure helps for the MCP server modules.
• Helpful: Prior use of any workflow tool such as Zapier, Power Automate, or Make. If you have never used an AI assistant, start with Enterprise AI Literacy.

Curriculum

1. Module 1: Agentic AI Foundations

   • Topics: Perception, reasoning, action loop; tools, memory, and planning; single vs multi-agent; workflow vs autonomous agents; human-in-the-loop; failure modes and guardrails.
   • Deliverable: Completed canvas. Completion check: Module 1 assessment.

   Hands-on:

   • Practice: Agent Use-Case Canvas. Map a process to an agent design.

2. Module 2: n8n Fundamentals

   • Topics: Nodes, triggers, executions; credentials and expressions; data mapping and JSON; webhooks and schedules; HTTP requests; error workflows.
   • Deliverable: Working workflow. Completion check: Module 2 assessment.

   Hands-on:

   • Practice: Lead Intake Workflow. Capture, enrich, and post leads to Slack.

3. Module 3: AI Nodes and LLM Integration in n8n

   • Topics: LLM chain and chat model nodes; prompt templates and variables; structured output parsing; text splitting and embeddings; vector store nodes; summarization chains.
   • Deliverable: Triage workflow. Completion check: Module 3 assessment.

   Hands-on:

   • Practice: Email Triage Assistant. Classify, summarize, and draft replies.

4. Module 4: Building AI Agents in n8n

   • Topics: AI Agent node; tools, memory, and system prompts; tool selection; custom tools from workflows; sub-workflows; testing and iteration.
   • Deliverable: Agent workflow. Completion check: Module 4 assessment.

   Hands-on:

   • Practice: Support Agent. Knowledge base answers plus ticket creation via tools.

5. Module 5: Model Context Protocol (MCP) Fundamentals

   • Topics: Hosts, clients, and servers; tools, resources, and prompts; transports and sessions; popular servers; connecting a server to a client; security and permissions.
   • Deliverable: Configured client with tool calls. Completion check: Module 5 assessment.

   Hands-on:

   • Practice: Connect Your First MCP Server. File and database servers from a client.

6. Module 6: Building Custom MCP Servers

   • Topics: Defining tools and schemas; resources and prompts; authentication; wrapping internal APIs; rate limits and safety; testing with inspectors.
   • Deliverable: MCP server code. Completion check: Module 6 assessment.

   Hands-on:

   • Practice: CRM MCP Server. Lookup and update tools tested from a client.

7. Module 7: Connecting n8n, Agents, and MCP

   • Topics: MCP client and server nodes; exposing workflows as MCP tools; agents consuming MCP tools; supervisor and worker patterns; routing and escalation; state across runs.
   • Deliverable: Multi-agent workflow. Completion check: Module 7 assessment.

   Hands-on:

   • Practice: Orchestrated Operations Agent. Supervisor delegating to MCP tools and sub-workflows.

8. Module 8: Production: Security, Monitoring, and Governance

   • Topics: Credential management; prompt injection and tool abuse; approval gates and audit logs; self-hosting and scaling n8n; monitoring and alerting; cost tracking.
   • Deliverable: Hardened workflow and runbook. Completion check: Module 8 assessment.
   • Capstone (independent work, [CAPSTONE_HOURS] hours): An end-to-end agentic automation: an n8n supervisor agent, two custom MCP servers over enterprise systems, memory, human approvals, and a monitoring dashboard.

   Hands-on:

   • Practice: Production Hardening. Approvals, logging, alerts, and a runbook.

Course fee

$699 $399

What's included

• Live cohort + recordings: Attend every session live and revisit the recordings for one year.
• Real lab environment: Practise on a hands-on environment that mirrors real projects.
• Live doubt-clearing support: Ask questions and get answers in real time during every session.
• Assessments and lab activities: Apply what you learn through graded assessments and guided labs.
• Learning assets: Keep the slides, notes, and reference material for good.
• Role-readiness guidance: Mentor guidance to get you ready for the role you are targeting.
• Verifiable certificate: Earn a shareable certificate on completing the hands-on capstone.
• Global peer community: Learn with a global cohort and stay connected after the program.

In short

Agentic AI with n8n and MCP is a 24-hour instructor-led course covering Module 1: Agentic AI Foundations, Module 2: n8n Fundamentals, Module 3: AI Nodes and LLM Integration in n8n. It includes guided practical labs.

Key facts

• Course: Agentic AI with n8n and MCP
• Duration: 24 hours
• Modules: 8
• Format: instructor-led live training

Frequently asked questions

Topics covered

Agentic AI with n8n and MCP, Artificial intelligence, Corporate training