MCP for QA Engineers: AI Automation with TypeScript (2026)
Build production-ready MCP servers in TypeScript so AI models can safely act on real backend systems.
- Duration
- 4 hours
- Lectures
- 22
- Level
- All Levels
- Learners
- 10+ students
- TypeScript
- MCP SDK
- MySQL
- Zod
- Node.js
About this course
Build production-ready MCP servers in TypeScript so AI models can safely read data, execute actions, and reason over real backend systems used in QA.
What you'll learn
- Build MCP servers from scratch with the official TS SDK
- Connect MCP to a live MySQL database
- Expose read-only resources safely to AI models
- Validate tool I/O with Zod like a professional
- Design agentic AI workflows — not autonomous chaos
What you'll build
An MCP server built from scratch with the official TypeScript SDK
A live MySQL connection exposed to an AI client
Read-only resources with safe scoping
Zod-validated tool inputs and outputs
Project architecture
The pipeline you assemble across the course:
- AI client (LLM)
- MCP protocol
- Your MCP server (TypeScript)
- Zod-validated tools & resources
- MySQL / backend systems
- Governed agentic workflow
Curriculum overview
22 lectures · 4 hours of on-demand video.
01MCP fundamentals
- What the Model Context Protocol solves
- Clients, servers, tools and resources
02Building the server
- Project setup with the official TS SDK
- Exposing your first tool
03Real backends
- Connecting a live MySQL database
- Read-only resources exposed safely
04Safety & validation
- Zod schemas for tool I/O
- Designing agentic — not autonomous — workflows
FAQ
What is MCP in one sentence?
The Model Context Protocol is a standard way to expose tools and data to AI models so they can act on real systems in a controlled way.
Is this only useful for QA?
No. QA is the lens used throughout, but the same MCP server patterns apply to any backend integration.
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Ready to start MCP for QA Engineers: AI Automation with TypeScript (2026)?
Lifetime access, 22 lectures, and a project you can put on your CV.