Educational Tutor MCP Server

{ "title": "Mastering Model Context Protocol (MCP): An Advanced Deep Dive into LLM Integration", "description": "Unlock the full potential of Large Language Model (LLM) applications by mastering the Model Context Protocol (MCP). This advanced learning path is meticulously designed for experienced developers, software architects, and technical leads who aim to build robust, scalable, and secure LLM integrations.\n\nYou will embark on a comprehensive journey, starting with a deep dive into MCP's flexible client-server architecture, understanding how hosts, clients, and servers seamlessly connect LLM applications. We'll dissect the core protocol and transport layers, exploring the intricacies of JSON-RPC 2.0, message framing, and the various communication mechanisms, including Stdio and HTTP with Server-Sent Events (SSE).\n\nThis course goes beyond basic usage, empowering you to:\n* **Architect and Implement** sophisticated MCP servers and clients from the ground up, leveraging core MCP primitives to enable rich LLM interactions.\n* **Optimize Communication** by understanding connection lifecycles, efficient message exchange patterns, and robust error handling strategies.\n* **Ensure Security** by implementing best practices for transport security, message validation, resource protection, and secure error management.\n* **Master Advanced Development Techniques** including comprehensive debugging, rigorous testing methodologies, and performance monitoring for production-grade MCP solutions.\n* **Apply Best Practices** for transport selection, message handling, progress reporting, and resource management to build highly reliable and performant systems.\n\nBy the end of this path, you will possess the expert knowledge and practical skills to design, develop, deploy, and troubleshoot advanced MCP-based solutions, positioning you at the forefront of LLM application development.", "modules": [ { "module_id": "module_01", "title": "Introduction to Model Context Protocol (MCP)", "description": "This module provides a high-level overview of the Model Context Protocol (MCP), its core architecture, and the fundamental client-server model. It explains how MCP facilitates seamless communication between LLM applications (hosts) and integrations (servers), setting the stage for understanding the protocol's capabilities and design principles.", "learning_objectives": [ "Understand the fundamental client-server architecture of the Model Context Protocol (MCP).", "Identify the roles of hosts, clients, and servers within the MCP ecosystem.", "Grasp the overall purpose and benefits of MCP for LLM applications and integrations." ], "files": [ "01_intro.md", "02_main.md", "03_conclusion.md", "04_assessments.md", "05_summary.md" ] }, { "module_id": "module_02", "title": "MCP Communication Fundamentals", "description": "Dive deep into the technical mechanics of MCP communication. This module covers the protocol and transport layers, detailing how messages are framed, exchanged, and the various message types (requests, responses, errors, notifications). It also explores the connection lifecycle and the built-in transport mechanisms like Stdio and Server-Sent Events (SSE), including their appropriate use cases and underlying JSON-RPC 2.0 format.", "learning_objectives": [ "Identify the core components of MCP, including the protocol and transport layers.", "Learn about the different message types (requests, results, errors, notifications) used in MCP communication.", "Comprehend the lifecycle of an MCP connection, from initialization to termination.", "Understand the role of transports in MCP communication and the JSON-RPC 2.0 wire format.", "Distinguish between and apply the built-in stdio and SSE transport implementations for various scenarios." ], "files": [ "01_intro.md", "02_main.md", "03_conclusion.md", "04_assessments.md", "05_summary.md" ] }, { "module_id": "module_03", "title": "Core MCP Primitives: Enabling LLM Interactions", "description": "This module explores the fundamental primitives that MCP servers expose to enable rich and dynamic interactions with Large Language Models (LLMs). It covers Resources for exposing data, Tools for enabling LLMs to perform actions, Prompts for defining reusable interaction templates, Sampling for requesting LLM completions, and Roots for defining operational boundaries and context.", "learning_objectives": [ "Define and differentiate between Resources, Tools, Prompts, Sampling, and Roots within the MCP context.", "Understand how Resources enable servers to expose various types of data and content to clients for LLM context.", "Learn how Tools allow LLMs to perform real-world actions and interact with external systems via server-exposed functions.", "Comprehend the purpose of Prompts as reusable templates for standardizing and sharing LLM interactions.", "Understand how the Sampling feature enables servers to securely request LLM completions via the client with human oversight.", "Explain how Roots define operational boundaries and relevant resources for servers." ], "files": [ "01_intro.md", "02_main.md", "03_conclusion.md", "04_assessments.md", "05_summary.md" ] }, { "module_id": "module_04", "title": "Building MCP Servers", "description": "This module provides practical guidance on developing your own Model Context Protocol (MCP) servers. It walks through setting up a development environment, implementing core MCP capabilities like exposing resources, defining and executing tools, and creating prompt templates. The module emphasizes best practices for server implementation, including error handling and security considerations.", "learning_objectives": [ "Set up a development environment for building MCP servers (Python/Node.js).", "Implement an MCP server that exposes Resources, Tools, and Prompts.", "Integrate sampling requests from the server side.", "Apply best practices for server-side message handling, error management, and security.", "Connect and test an MCP server with an MCP host like Claude for Desktop." ], "files": [ "01_intro.md", "02_main.md", "03_conclusion.md", "04_assessments.md", "05_summary.md" ] }, { "module_id": "module_05", "title": "Building MCP Clients", "description": "This module guides developers through building their own LLM-powered chatbot clients capable of integrating with Model Context Protocol (MCP) servers. It covers environment setup, secure API key configuration, and the fundamental code structure for managing connections to MCP servers, processing queries, and handling tool calls and LLM completions.", "learning_objectives": [ "Set up a development environment for an MCP client (Python/Node.js).", "Implement server connection management for an MCP client.", "Develop logic for processing user queries and interacting with LLMs.", "Handle tool calls and integrate tool results into the LLM conversation flow.", "Understand how clients interact with the sampling feature to request LLM completions." ], "files": [ "01_intro.md", "02_main.md", "03_conclusion.md", "04_assessments.md", "05_summary.md" ] }, { "module_id": "module_06", "title": "Debugging, Testing, and Advanced Development", "description": "This module focuses on advanced development practices for MCP integrations, including comprehensive debugging strategies, utilizing specialized tools like the MCP Inspector, and leveraging Large Language Models (LLMs) to accelerate development. It also reinforces best practices for security, error handling, and performance monitoring across the MCP architecture.", "learning_objectives": [ "Utilize various debugging tools, including the MCP Inspector and Claude Desktop Developer Tools, to diagnose and resolve MCP integration issues.", "Implement robust server-side and client-side logging for effective monitoring and troubleshooting.", "Apply best practices for security considerations across transport, message validation, and resource/tool protection.", "Understand and implement advanced error handling strategies for MCP components.", "Leverage Large Language Models (LLMs) to assist in the development and testing of custom MCP servers and clients." ], "files": [ "01_intro.md", "02_main.md", "03_conclusion.md", "04_assessments.md", "05_summary.md" ] }, { "module_id": "module_07", "title": "Conclusion & Next Steps", "description": "This concluding module summarizes the key concepts and skills acquired throughout the learning path. It provides a brief overview of how MCP empowers LLM applications and integrations, and points to further resources and real-world applications, including the end-user experience of interacting with MCP-enabled applications.", "learning_objectives": [ "Summarize the comprehensive capabilities of the Model Context Protocol.", "Understand the end-user experience of interacting with MCP-enabled applications.", "Identify resources for continued learning and advanced MCP development." ], "files": [ "01_intro.md", "02_main.md", "03_conclusion.md", "04_assessments.md", "05_summary.md" ] } ] }