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How to Implement the MCP Server: A Cross-Platform Guide In Part 2 of our deep dive into the Model Context Protocol (MCP), Petr Broz returns to provide a technical blueprint for the MCP Server. This video moves from theory to practice, detailing exactly how to build and structure your server to provide Large Language Models (LLMs) and AI agents with controlled, deterministic tooling. The MCP Server is an essential layer for managing the reliability of complex AI agent workflows. Petr walks through the three foundational components every MCP Server needs and shows you cross-platform code examples using the official SDK. Key Takeaways: Server Architecture: Understand how the MCP Server functions as a layer on top of a standard server, utilizing JSON RPC for structured message exchange. The Three Core Components: Learn the definitions, functions, and implementation methods for Tools (for agents to take action), Resources (for agents to fetch context), and Prompts (to guide the client). Cross-Platform Implementation: See real-world code snippets demonstrating the implementation of a full MCP Server in Python, JavaScript/TypeScript, and .NET, highlighting the protocol's language-agnostic power. If you are serious about building reliable, predictable, and fully integrated AI agents, this deep dive is crucial for mastering the implementation phase of the Model Context Protocol. 👉 Watch Part 3: Why the MCP Server is a Game-Changer https://youtu.be/v-3-kuMfI6s 🔔 Subscribe for more advanced developer tutorials on the latest in AI and application development! Try Autodesk Platform Services today: https://autode.sk/try-aps Have questions? Reach out to us at https://autode.sk/get-aps-help Sign up for an APS accelerator in your region: https://autode.sk/aps-accelerators Autodesk Platform Services LinkedIn page https://www.linkedin.com/showcase/autodeskplatformservices/ #MCP #ModelContextProtocol #Anthropic #DeveloperAdvocate #AI #AIAgents #ServerDevelopment #AutodeskAPS #DeveloperCommunity #Python #JavaScript #DotNet #APIServer