Model Context Protocol: Advanced Topics
MCP is how a model reaches real systems — tools, resources, transport, and the trust boundary between them. For a backend engineer it is the part of AI tooling that looks most like ordinary integration work, with the same failure modes.
- Server and client architecture.
- Tools, resources and prompts as protocol primitives.
- Transport and session handling.
- The trust boundary between a model and the systems it can reach.
The most transferable of the AI certificates: MCP integration is integration, with the same questions about idempotency, authorization and failure that any banking API raises.
