Syllabus
This course covers the following topics:
- MCP Fundamentals
- What is Model Context Protocol (MCP) and how it works
- MCP architecture – Server, Client, Tools, Resources
- Why MCP matters for AI agents and workflows
- Comparing MCP vs old tool-integration methods
- Exercise → Map an existing workflow to MCP components
- Quiz 1: key definitions, architecture differences
- Setting Up an MCP Server
- Choosing environment: local vs cloud
- Installing or activating an MCP server (reference implementations)
- Configuring tools manifest: defining tool schemas
- Connecting to the MCP server: authentication, endpoints
- Exercise → Spin up a simple MCP server and test a “hello-tool”
- Quiz 2: server steps, tool manifest basics
- Designing and Registering Tools
- Tool definition: inputs, outputs, metadata
- Declarative vs programmatic tools
- Error-handling, versioning, and tool lifecycle
- Exercise → Build a tool (e.g., timezone lookup)
- Quiz 3: tool schema, registration steps, lifecycle
- Using MCP Tools Inside Agents
- Agent nodes calling MCP endpoints
- Passing parameters from n8n to tool and parsing output
- Chaining multiple tool calls in one flow
- Debugging tool calls and responses
- Exercise → Agent pulls tool data, uses it in a decision node
- Quiz 4: integration logic, chaining, debugging
- Security, Access Control & Governance
- Authentication and credential management for MCP
- Access control: who can call which tool
- Logging, audit trails and governance
- Exercise → Secure an MCP tool, implement logging
- Quiz 5: access control scenarios, logging concepts
- Monitoring, Metrics & Maintenance
- Monitoring tool usage, latency, errors
- Dashboards and alerts
- Versioning tools and rolling updates
- Exercise → Create alert if tool latency > X ms
- Quiz 6: metrics, maintenance strategy, version control
- Advanced Use-Cases & Scaling
- Multi-agent orchestration via MCP tools
- Combining MCP with RAG and tools in one agent
- Enterprise-grade architecture: multi-tenant, high-traffic
- Exercise → Build an orchestrator agent using multiple tools
- Quiz 7: architecture trade-offs, multi-agent logic