📖Lessons
Introduction to Model Context Protocol (MCP)
Understand MCP - the universal standard for connecting AI to external systems
MCP Architecture & Protocol
Deep dive into MCP's client-server architecture and JSON-RPC 2.0 protocol
Building MCP Servers
Build production-ready MCP servers with Python and TypeScript
Building MCP Clients
Create MCP clients to connect to servers and orchestrate tools
MCP Tools & Resources
Master tool definition, resource providers, and dynamic capabilities
Pre-built MCP Servers
Use official and community MCP servers for instant integration
Security & Authentication
Secure MCP servers and protect against vulnerabilities
MCP with Claude Desktop
Configure and optimize MCP servers in Claude Desktop
Production MCP Deployment
Deploy MCP servers to cloud infrastructure at scale
MCP with OpenAI & Google
Use MCP with OpenAI Agents SDK and Google ADK
🎯Missions
M-049Add Authentication to an MCP Server
Nebula Corp's MCP server is wide open — any client can call any tool. Build an authentication middleware that validates API keys, checks permissions per tool, and rejects unauthorized requests. The middleware should sit between incoming requests and the handler, enforcing access control before any tool executes.
M-050Build an MCP Prompt Template Server
Nebula Corp wants to share reusable prompt templates across all their AI assistants via MCP. Build a prompt template server that registers templates with argument placeholders, lists available prompts, and renders them with provided arguments. The server should support variable interpolation like {{customerName}} and validate that all required arguments are provided.
M-052Build an MCP Tool Composition Pipeline
Nebula Corp's AI assistants need to chain multiple MCP tools together to answer complex queries. Build a tool composition engine that takes a plan (a sequence of tool calls where later steps can reference earlier results), executes them in order, and returns the combined result. Handle errors gracefully — if one step fails, the pipeline should report which step failed and why.
M-047Build Your First MCP Message Handler
Nebula Corp is adopting the Model Context Protocol to let AI assistants access internal tools. Before building a full server, they need a message handler that can parse MCP JSON-RPC requests, validate them, and route to the correct handler. Build the protocol layer that processes initialize, tools/list, and tools/call messages.
M-048Build Your First MCP Server
Nebula Corp wants to expose their internal customer database to AI assistants via the Model Context Protocol. The skeleton MCP server is set up with the transport layer, but the tool registration and request handling are missing. Wire up the server so it registers a 'lookup_customer' tool, handles incoming tool calls, and returns properly formatted MCP responses.
M-051Implement MCP Resource Endpoints
Nebula Corp's MCP server can handle tool calls, but it doesn't expose any resources yet. AI assistants need to browse available data before calling tools. Implement the resource provider so the server can list available resources (customer profiles, order history) and return their contents when requested via resource URIs like 'customer://C001/profile'.