Course catalog
MCP and safe tool use — give models real, guarded access.
The Model Context Protocol became the USB-C of AI — one standard that lets any model use any tool or data source, adopted across the industry and donated to the Linux Foundation. This course explains the integration problem MCP solves, its host/client/server model, and the three things a server exposes: tools, resources, and prompts. You'll follow the tool-use loop end to end, author a tool schema with typed, validated inputs, and handle a call and return. Then the part that matters most: tool safety — prompt injection, tool poisoning, least privilege, and why you never auto-allow a sensitive tool.
Section 1
The standard that connects models to tools.
Section 2
How a model actually calls a tool.
Build and run a real AI product: it searches your own content, uses only the tools you approved, is tested the same way every time, has a plan for when it fails, and shows its speed and cost.
11 course sequence
Ship a secure TypeScript app built with AI in your workflow: tested algorithms, tools kept inside safe limits, architecture choices you can explain, and releases you can check after they go out.
16 course sequence
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Get startedSection 3
Define, handle, return, and test a tool.
Section 4
Injection, poisoning, and least privilege.