Advanced MCP & Integrations

Building MCP Servers & Enterprise Tool Ecosystems

A complete engineering course on the Model Context Protocol (MCP): protocol internals, building servers with the Python and TypeScript SDKs, OAuth 2.1 authorization, Streamable HTTP transport, versioning and federation across dozens of servers, prompt-injection-aware security, and production operations. Written for teams turning internal APIs, databases, and SaaS systems into standardized tools that any agent, Claude, open-weight models via tool-calling harnesses, or custom frameworks, can discover and call safely at scale.

30 Modules
6.4h Duration
Text + Code Format
Free Cost
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Prerequisites
  • Python or TypeScript proficiency (async/await, type hints or generics)
  • Experience calling LLM APIs with function/tool calling
  • Familiarity with REST APIs, Docker, and basic OAuth concepts

What you'll learn

  • Explain the MCP architecture (JSON-RPC 2.0, tools/resources/prompts) and the 2025-2026 spec updates: Streamable HTTP, OAuth 2.1, elicitation, and structured tool output
  • Build production MCP servers with the Python (FastMCP) and TypeScript SDKs, backed by typed, validated tool schemas
  • Wrap internal REST APIs, databases, and SaaS systems (Salesforce, Slack, Jira, GitHub) as standardized, discoverable MCP tools
  • Secure MCP servers with OAuth 2.1, scoped per-tool permissions, and defenses against prompt injection and confused-deputy attacks
  • Version, namespace, and federate tool catalogs across dozens of MCP servers without breaking existing agents
  • Connect MCP servers to Claude, open-weight models (Kimi K3, GLM-5.2, gpt-oss-120b) via tool-calling harnesses, and multi-agent frameworks
  • Operate MCP servers in production: distributed tracing, contract testing, async job patterns, autoscaling, and CI/CD with schema contracts

Course Curriculum

30 modules · 6.4 hours total

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