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The Model Context Protocol (MCP) is a cutting-edge framework designed to standardize interactions between AI models and client applications. This open-source curriculum offers a structured learning path, complete with practical coding examples and real-world use cases, across popular programming languages including C#, Java, JavaScript, TypeScript, and Python.
Whether you're an AI developer, system architect, or software engineer, this guide is your comprehensive resource for mastering MCP fundamentals and implementation strategies.
- 📘 MCP Documentation – Detailed tutorials and user guides
- 📜 MCP Specification – Protocol architecture and technical references
- 🧑💻 MCP GitHub Repository – Open-source SDKs, tools, and code samples
- What is the Model Context Protocol?
- Why standardization matters in AI pipelines
- Practical use cases and benefits of MCP
- Understanding client-server architecture in MCP
- Key protocol components: requests, responses, and schemas
- MCP messaging and data exchange patterns
- Identifying security threats within MCP-based systems
- Techniques and best practices for securing implementations
- Environment setup and configuration
- Creating basic MCP servers and clients
- Integrating MCP with existing applications
Explore Code Implementations by Language
- Using SDKs across different languages
- Debugging, testing, and validation
- Crafting reusable prompt templates and workflows
Explore Advanced Samples
- Multi-modal AI workflows and extensibility
- Secure scaling strategies
- MCP in enterprise ecosystems
- How to contribute code and docs
- Collaborating via GitHub
- Community-driven enhancements and feedback
- Real-world implementations and what worked
- Building and deploying MCP-based solutions
- Trends and future roadmap
- Performance tuning and optimization
- Designing fault-tolerant MCP systems
- Testing and resilience strategies
- Deep-dives into MCP solution architectures
- Deployment blueprints and integration tips
- Annotated diagrams and project walkthroughs
To get the most out of this curriculum, you should have:
- Basic knowledge of C#, Java, or Python
- Understanding of client-server model and APIs
- (Optional) Familiarity with machine learning concepts
Each lesson in this guide includes:
- Clear explanations of MCP concepts
- Live code examples in multiple languages
- Exercises to build real MCP applications
- Extra resources for advanced learners
This content is licensed under the MIT License. For terms and conditions, see the LICENSE.
This project welcomes contributions and suggestions. Most contributions require you to agree to a Contributor License Agreement (CLA) declaring that you have the right to, and actually do, grant us the rights to use your contribution. For details, visit https://cla.opensource.microsoft.com.
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