Conclusion

In this lesson, you moved beyond the basics and dissected the three distinct organs that make up a Model Context Protocol server.

• You mastered Tools, the “hands” of the model. You built a server that didn’t just generate text, but performed actual logic to calculate a dog’s age, and you learned how JSON Schema allows the model to understand your code.
• You implemented Resources, the “eyes” of the application. You created both direct URIs and dynamic templates to feed bus and train schedules to the host, understanding how context is loaded before the conversation even begins.
• You designed Prompts, the interface for your users. You built a reusable itinerary template that standardizes complex user requests into structured instructions for the LLM.
• Crucially, you adopted a developer’s workflow by using the MCP Inspector. Instead of relying on a chat interface, you learned to verify your code’s inputs and outputs directly using standard developer tools.

You now possess the complete toolkit to build sophisticated MCP servers. In the next lesson, you will write client scripts to access MCP servers and integrate MCP with LLMs via API.