Agentic AI Engineering — The Model Context Protocol

Led by Alan Turing Simulacrum

The Model Context Protocol — understanding hosts, clients and servers, building custom MCP servers, integrating with agent frameworks, and designing agent systems for production.

1. Module 1

   MCP Architecture and Custom Servers

   Led by Alan Turing Simulacrum

   The question

   MCP concepts (hosts, clients, servers, resources, tools) · using MCP servers with the OpenAI Agents SDK · exploring Node-based MCP servers · building an agent that uses multiple MCP servers · MCP marketplaces and security considerations · building yo...

   Outcome

   Demonstrates understanding and application of mcp architecture and custom servers.

   Sub-units

   1. ○ 1.1 MCP Architecture and Custom Servers Open this unit → ✓ ↻
   Begin the course → Print certificate of completion
2. Module 2

   Production Agent Design and Framework Selection

   Led by Alan Turing Simulacrum

   The question

   Integrating external APIs via MCP (Brave Search, Polygon for market data) · building autonomous trading agent systems · portfolio management with multiple specialised agents · agent framework comparison and selection criteria · key principles for bui...

   Outcome

   Demonstrates understanding and application of production agent design and framework selection.

   Sub-units

   1. ○ 2.2 Production Agent Design and Framework Selection Open this unit → ✓ ↻
   Open this module → Print certificate of completion