Opleiding: Model Context Protocol
The course Model Context Protocol from SpiralTrain teaches you how to build AI applications that seamlessly connect to external data sources and tools using the standardized Model Context Protocol.
MCP Fundamentals
The course Model Context Protocol starts with an overview of the protocol including the AI context problem, JSON-RPC foundation, transport mechanisms, resource concepts, tool definitions, and real-world use case examples.
Protocol Architecture
Next the architecture patterns are explored, covering communication flow, message types, capability negotiation, session management, error handling, connection lifecycle, protocol extensions, and versioning strategies for robust implementations.
Server Implementation
This module covers building MCP servers including SDK installation, implementing resource providers, developing and registering tools, context management, data source integration, authentication methods, configuration options, and comprehensive testing approaches.
Client Development
Here participants learn to build MCP clients including SDK integration, connection management, server discovery, resource access patterns, tool invocation, prompt usage, response handling, state management, and error recovery mechanisms.
Integration Patterns
This part focuses on integrating MCP with LLMs such as Claude and OpenAI.
