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This crash course explores the Model Context Protocol (MCP) for agentic AI development using Python. Learn how this standardized protocol separates context provision from LLM interaction, allowing for more efficient AI applications. Discover how to implement the full MCP specification through the Python SDK to build MCP clients that connect to any MCP server, create servers exposing resources, prompts and tools, utilize standard transports like stdio and SSE, and handle all protocol messages and lifecycle events. The tutorial includes practical implementation examples with code available on GitHub, providing a foundation for developing sophisticated agentic AI applications.
