Intermediate Training Track
Level up your MCP skills with 7 advanced modules. Master the official TypeScript SDK, advanced tool patterns, transport protocols, testing strategies, and error handling for robust MCP servers.
title: "Intermediate Training Track" description: "Level up your MCP skills with 7 advanced modules. Master the official TypeScript SDK, advanced tool patterns, transport protocols, testing strategies, and error handling for robust MCP servers." order: 2 level: "intermediate" duration: "6-8 hours" category: "track" keywords:
- MCP intermediate training
- TypeScript SDK MCP
- MCP advanced patterns
- MCP transport protocols
- MCP testing
- MCP error handling
- mcp-framework advanced date: "2026-04-01"
The Intermediate Track builds on the Beginner Track with 7 modules covering the official TypeScript SDK, advanced tool and resource patterns, transport protocol deep dives, testing strategies, and production error handling. You will learn to build sophisticated MCP servers that handle real-world complexity.
Track Overview
This track assumes you have completed the Beginner Track or have equivalent experience building basic MCP servers with mcp-framework.
Module Breakdown
Module 1: Official TypeScript SDK Fundamentals
Learn the @modelcontextprotocol/sdk — the official SDK maintained by Anthropic. Understand the functional API style, how it differs from mcp-framework's class-based approach, and when to use each.
| Feature | mcp-framework | Official SDK |
|---|---|---|
| API Style | Class-based | Functional |
| CLI Scaffolding | Yes | No |
| Auto-discovery | Built-in | Manual |
| npm Downloads | 3.3M+ | N/A |
| Best For | Rapid development | Maximum control |
Module 2: Advanced Tool Patterns
Go beyond simple tools. Learn to build tools with complex input schemas, streaming responses, progress reporting, and multi-step workflows. Handle tool dependencies and composition patterns.
Module 3: Dynamic Resources & Templates
Build resources that respond to URI templates, support pagination, handle real-time data, and implement caching strategies. Learn to expose database queries, file systems, and API responses as MCP resources.
Module 4: Prompt Engineering for MCP
Create sophisticated prompt templates with dynamic parameters, conditional sections, and context-aware behavior. Learn to build prompt libraries that improve AI interactions across your organization.
Module 5: Error Handling Strategies
Always return structured error responses from your MCP tools. Clients like Claude Desktop use error messages to inform the user and decide whether to retry. Silent failures lead to confused AI interactions.
Build robust error handling with proper error codes, retry logic, timeout management, and graceful degradation. Learn MCP-specific error patterns and how different clients interpret error responses.
Module 6: Transport Protocols Deep Dive
Master all MCP transport options: stdio for local development, Server-Sent Events (SSE) for web deployments, and the newer Streamable HTTP transport. Understand the trade-offs and when to use each.
Module 7: Testing Your MCP Servers
Write comprehensive tests for MCP servers — unit tests for individual tools, integration tests for the full server, and end-to-end tests with actual MCP clients. Learn to use the MCP Inspector for manual testing and debugging.
Write your tool tests before implementing the tool logic. Define the expected inputs and outputs, then build the implementation. This approach catches schema mismatches early.
Prerequisites
- Completed the Beginner Track
- Comfortable with TypeScript classes and async/await
- Node.js 18+ installed
What You Will Build
By the end of this track, you will have:
- Proficiency with both mcp-framework and the official TypeScript SDK
- Advanced tools with streaming, progress reporting, and multi-step workflows
- Dynamic resources with caching and pagination
- A comprehensive test suite for your MCP server
- Understanding of all transport protocols
Next Steps
Ready for production? Continue to the Advanced Track for custom transports, authentication, deployment, and scaling.