🔌Build an MCP Server
Teach AI tools to understand your app — database, API, deployment.
What you'll learn
- Understand MCP protocol and architecture
- Build an MCP server in TypeScript or Python
- Implement resources, tools and prompts
- Secure access to sensitive data
- Deploy an MCP server to production
- Connect the server to Claude Code, Cursor and other tools
Who this is for
Developers and tech leads who want to connect AI tools to company systems.
Prerequisites
Syllabus
What is MCP and Why Build a Server
MCP is the USB-C of AI — a universal protocol that lets AI tools talk to your systems. Understand the architecture and see real-world examples.
Building Your First MCP Server
Scaffold, build, and test a working MCP server in 15 minutes — in both TypeScript and Python.
Resources: Exposing Your Data
Make your database, configs, and API docs readable by AI — using MCP resources with URI templates, pagination, and subscriptions.
Tools: Letting AI Take Actions
Build tools that let the AI create tickets, run queries, deploy code, and more — with input validation, error handling, and safety guards.
Security and Access Control
Lock down your MCP server — authentication, authorization, input sanitization, audit logging, and a production security checklist.
Advanced Patterns
Prompts, multi-step workflows, sampling, caching, and composing multiple MCP servers into a powerful development toolkit.
Deploying to Production
Package your MCP server as an npm/pip package, deploy remotely with Docker, configure for your team, and integrate into CI/CD.
We also offer live workshops and custom training for teams.
Learn more about team training