MCP & AI Tool Integration
Master the Model Context Protocol (MCP) to connect AI models to any tool, API, or data source. Build custom MCP servers and integrate them into production workflows. Focused on the Anthropic ecosystem.
Courses are not sold one at a time. One subscription opens this curriculum and every other one, each with its own coach. See the full terms. Card required to start the trial; the first payment lands on day 8 and renews until you cancel.
What's Included
- The full curriculum — 5 modules, 33 lessons
- An AI coach that knows this curriculum and your business
- Progress tracking across the curriculum
No videos, no written lesson pages, no quizzes, no certificate. You work through the curriculum in conversation with the coach.
7-Day Money-Back Guarantee
Not satisfied? Get a full refund within 7 days. No questions asked.
What You'll Learn
Outcomes
- Build custom MCP servers that connect AI to any API or database
- Implement authentication, authorization, and security for tool access
- Deploy production MCP servers with logging, monitoring, and error handling
- Design tool schemas that give AI models the right capabilities
Prerequisites
- -TypeScript/Python fundamentals
- -Understanding of REST APIs and JSON
Projects You'll Build
- Build a database-connected MCP server
- Create an API integration MCP server with OAuth
- Deploy a multi-tool MCP server to production
Course Curriculum
Module 1: MCP Fundamentals
- 1.1What is MCP and why it matters for AI integration
- 1.2Your first MCP server: a simple calculator tool
- 1.3The three primitives: tools, resources, and prompts
- 1.4MCP architecture: clients, servers, and transports
- 1.5How MCP compares to REST APIs and GraphQL
- 1.6Setting up your MCP development environment
- 1.7Connecting your server to Claude Desktop and Claude Code
Module 2: Building MCP Servers
- 2.1Project structure and TypeScript SDK deep dive
- 2.2Defining tools: names, descriptions, input schemas
- 2.3Implementing tool handlers with validation and error handling
- 2.4Resources: exposing files, data, and dynamic content
- 2.5Prompts: packaging reusable prompt templates
- 2.6Stdio vs SSE transports: when to use which
- 2.7Testing MCP servers with the MCP Inspector
Module 3: Advanced Tool Patterns
- 3.1Database tools: query, insert, update with schema introspection
- 3.2File system tools: read, write, search with glob patterns
- 3.3API wrapper tools: turning any REST API into an MCP tool
- 3.4Multi-step tools: workflows that require sequential operations
- 3.5Streaming results for long-running operations
- 3.6Tool composition: building complex tools from simple ones
Module 4: Security & Authentication
- 4.1Authentication patterns: API keys, OAuth, and JWT
- 4.2Authorization: role-based access to tools and resources
- 4.3Input sanitization and injection prevention
- 4.4Rate limiting and abuse prevention
- 4.5Audit logging: tracking every tool invocation
- 4.6Secrets management: handling API keys and credentials safely
Module 5: Production Deployment
- 5.1Dockerizing your MCP server for deployment
- 5.2Deploying to cloud platforms (AWS, GCP, Railway)
- 5.3Health checks, monitoring, and alerting
- 5.4Versioning your MCP server API
- 5.5Real-World MCP Server Case Studies — production servers in action
- 5.6Performance optimization: caching, connection pooling, batching
- 5.7Maintaining MCP servers: updates, deprecation, and migration
Ready to Start Learning?
You bring a lesson from the curriculum, your coach works through it with you against your actual situation, and you keep whatever you build.
7-day money-back guarantee — no questions asked
Start where you are
Stop watching tutorials. Start building.
Pick a curriculum and your coach works through it against your own business. The starter course is free — no card — so you can see how the coaching actually feels before you decide anything.