AI Agent Fundamentals
Agents, workflows, loops, tools, function calling and first-agent architecture.
Open module →MCP Fundamentals
Why MCP exists, host-client-server architecture, JSON-RPC, lifecycle and compatibility.
Open module →MCP Core Capabilities
Tools, resources, prompts, schemas, elicitation, completion, pagination and caching.
Open module →Build an MCP Server
Python SDK setup, tools, resources, prompts, FastAPI, PostgreSQL and testing.
Open module →Transports & Clients
stdio, Streamable HTTP, local and remote clients, discovery, caching and multiple servers.
Open module →Agents with MCP
OpenAI Agents SDK, hosted/local/remote MCP, approvals, filtering and practical agents.
Open module →Agent Patterns
Memory, context, handoffs, planner-executor, evaluator-optimizer and multi-agent orchestration.
Open module →MCP Security
OAuth, authorization, least privilege, prompt injection, SSRF, destructive tools and tenancy.
Open module →Testing & Observability
MCP Inspector, automated tests, tracing, failure monitoring and regression evaluation.
Open module →Production MCP
Deployment, Docker, scaling, retries, timeouts, rate limits, caching and cost optimization.
Open module →Advanced MCP
Apps, extensions, registry, tasks, managed auth, machine-to-machine auth and versioning.
Open module →Framework Integrations
OpenAI Agents SDK, Claude, VS Code, Cursor, LangChain/LangGraph and Semantic Kernel.
Open module →