Hooray! You're all done! 👏👏
What you've learned
1. MCP Basics & Ping
- Core Concepts: You learned the foundational structure of the Model Context Protocol (MCP), which enables standardized communication between clients and servers.
- Ping Tool: Implemented a simple
pingtool to verify server connectivity using JSON-RPC, establishing the groundwork for MCP-compliant servers.
2. Tools
- Tool Registration: Explored how to define and register server-side functions (tools) that clients can invoke.
- Input Validation: Used JSON Schema (and Zod) to validate tool arguments.
- Dynamic Responses: Built tools that return both static and dynamic results, and learned about trust, safety, and human-in-the-loop design.
- Error Handling: Implemented robust error handling to provide clear, MCP-compliant feedback to clients.
3. Resources
- Resource Concept: Learned how to expose structured data (files, database records, etc.) as resources via MCP.
- Resource URIs: Used unique URIs and metadata to identify and describe resources.
- Resource Operations: Enabled clients to list, read, and (optionally) subscribe to resources, supporting both static and dynamic data.
4. Prompts
- Reusable Prompts: Introduced MCP's prompt system for exposing reusable, parameterized instructions to clients and LLMs.
- Prompt Registration: Registered prompts that guide model behavior, making workflows more accessible and consistent for users.
In summary:
You've built a robust MCP server that supports tools, resources, prompts, and
sampling. You've learned to design for extensibility, safety, and real-world use
cases—empowering both users and language models to interact with your server in
powerful, structured ways.
Next Steps
Now you can build your own MCP server! Learn how to get the development
environment up here:
Loading "How to Debug Your Mcp Server 38qyl"
Run locally for transcripts
Amazing work! 🎉