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Model Context Protocol (MCP) courses and tutorials

Explore MCP courses for connecting AI clients with tools and resources, including Python server projects, transport choices, and integration testing.

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About Model Context Protocol (MCP)

Model Context Protocol defines a way for AI applications to discover and use tools, resources, and prompts. Learning it involves both a server's capabilities and a client's behavior. A working connection alone does not establish that an integration is reliable.

Choose a useful starting point

Choose a focused server-building course when you already know Python and basic AI concepts. A wider agent curriculum explains where MCP fits in a complete application. Compare the protocol revision and transport taught with the current specification before reusing a deployment example.

Build on the lessons

Expose a read-only lookup tool over a small sample dataset. Describe its input precisely and test valid, missing, and malformed values from a client. Keep credentials outside the tool response and inspect the errors the client receives.

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