Day 11 of 14 35 minMCPSub-agentsMemory
Connect AI apps to tools and data through the Model Context Protocol (MCP), build a small MCP server, split big jobs between an orchestrator and sub-agents, and give agents memory.
By the end of today you can
- Explain what MCP is and the problem it solves
- Describe MCP hosts, clients and servers, and the tools, resources and prompts a server offers
- Build a small MCP server in Python and connect it to an app
- Use the orchestrator and sub-agent pattern for big tasks
- Choose between short-term context and long-term memory
What's inside
- 5 sections
- 3 diagrams and mind maps
- 2 code examples you can run
- 5-question quiz
- 1Why MCP?
- 2What MCP messages look like
- 3Building a real MCP server
- 4Multi-agent systems: orchestrator and sub-agents
- 5Memory
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