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As AI-powered tools and agents become integral to development workflows, there's a growing need for standardized, secure, and scalable ways to connect them with complex systems like blockchains. This talk introduces the Model Context Protocol (MCP) - what it is, why it matters, and how it simplifies interactions between AI systems and external tools. We start by explaining the what and why of MCP, detailing how MCP servers provide a structured, protocol-driven approach for exposing capabilities, data, and workflows to AI clients. The session then moves to practical integration with Hyperledger Fabric, demonstrating how MCP servers can interact with Fabric networks, chaincode, and operational tooling in a consistent and AI-friendly way. Finally, the talk focuses on the developer experience, showing how MCP reduces complexity, improves discoverability of Fabric capabilities, and enables faster, more intuitive development through AI-assisted workflows. You will gain a clear understanding of how MCP bridges the gap between protocol design and real-world usage, making Hyperledger Fabric more accessible and productive for developers in the AI era.