mcp-for-beginners

 [](https://GitHub.com/microsoft/mcp-for-beginners/graphs/contributors) [](https://GitHub.com/microsoft/mcp-for-beginners/issues) [](https://GitHub.com/microsoft/mcp-for-beginners/pulls) [](http://makeapullrequest.com) [](https://GitHub.com/microsoft/mcp-for-beginners/watchers) [](https://GitHub.com/microsoft/mcp-for-beginners/network) [](https://GitHub.com/microsoft/mcp-for-beginners/stargazers) [](https://discord.com/invite/ByRwuEEgH4) Follow these steps to get started using these resource : 1. **Fork the Repository**: Click [](https://GitHub.com/microsoft/mcp-for-beginners/network) 2. **Clone the Repository**: `git clone https://github.com/microsoft/mcp-for-beginners.git` 3. [**Join The Microsoft AI Discord Community and meet experts and fellow developers**](https://discord.com/invite/ByRwuEEgH4) ### 🌐 Multi-Language Support #### Supported via GitHub Action (Automated & Always Up-to-Date) # 🚀 Ultimate Guide to the Model Context Protocol (MCP) Curriculum for Beginners ## **Learn MCP with Hands-on Code Examples in C#, Java, JavaScript, Python, and TypeScript** ## 🧠 Overview of the Model Context Protocol Curriculum 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. ## 🔗 Official MCP Resources - 📘 [MCP Documentation](https://modelcontextprotocol.io/) – Detailed tutorials and user guides - 📜 [MCP Specification](https://spec.modelcontextprotocol.io/) – Protocol architecture and technical references - 🧑‍💻 [MCP GitHub Repository](https://github.com/modelcontextprotocol) – Open-source SDKs, tools, and code samples ## 🧭 Complete MCP Curriculum Structure ### 📌 [Introduction to MCP](./00-Introduction/README.md) - What is the Model Context Protocol? - Why standardization matters in AI pipelines - Practical use cases and benefits of MCP ### 🧩 [Core Concepts Explained](./01-CoreConcepts/README.md) - Understanding client-server architecture in MCP - Key protocol components: requests, responses, and schemas - MCP messaging and data exchange patterns ### 🔐 [Security in MCP](./02-Security/readme.md) - Identifying security threats within MCP-based systems - Techniques and best practices for securing implementations ### 🚀 [Getting Started with MCP](./03-GettingStarted/README.md) - Environment setup and configuration - Creating basic MCP servers and clients - Integrating MCP with existing applications #### 🧮 MCP Calculator Sample Projects: <details> <summary><strong>Explore Code Implementations by Language</strong></summary> - [C# MCP Server Example](./03-GettingStarted/samples/csharp/README.md) - [Java MCP Calculator](./03-GettingStarted/samples/java/calculator/README.md) - [JavaScript MCP Demo](./03-GettingStarted/samples/javascript/README.md) - [Python MCP Server](./03-GettingStarted/samples/python/mcp_calculator_server.py) - [TypeScript MCP Example](./03-GettingStarted/samples/typescript/README.md) </details> ### 🛠️ [Practical Implementation](./04-PracticalImplementation/README.md) - Using SDKs across different languages - Debugging, testing, and validation - Crafting reusable prompt templates and workflows #### 💡 MCP Advanced Calculator Projects: <details> <summary><strong>Explore Advanced Samples</strong></summary> - [Advanced C# Sample](./04-PracticalImplementation/samples/csharp/README.md) - [Java Container App Example](./04-PracticalImplementation/samples/java/containerapp/README.md) - [JavaScript Advanced Sample](./04-PracticalImplementation/samples/javascript/README.md) - [Python Complex Implementation](./04-PracticalImplementation/samples/python/mcp_sample.py) - [TypeScript Container Sample](./04-PracticalImplementation/samples/typescript/README.md) </details> ### 🎓 [Advanced Topics in MCP](./05-AdvancedTopics/README.md) - Multi-modal AI workflows and extensibility - Secure scaling strategies - MCP in enterprise ecosystems ### 🌍 [Community Contributions](./06-CommunityContributions/README.md) - How to contribute code and docs - Collaborating via GitHub - Community-driven enhancements and feedback ### 📈 [Insights from Early Adoption](./07-CaseStudies/README.md) - Real-world implementations and what worked - Building and deploying MCP-based solutions - Trends and future roadmap ### 📏 [Best Practices for MCP](./08-BestPractices/README.md) - Performance tuning and optimization - Designing fault-tolerant MCP systems - Testing and resilience strategies ### 📊 [MCP Case Studies](./09-CaseStudy/Readme.md) - Deep-dives into MCP solution architectures - Deployment blueprints and integration tips - Annotated diagrams and project walkthroughs ## 🎯 Prerequisites for Learning MCP 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 ## 🛠️ How to Use This Curriculum Effectively Each lesson in this guide includes: 1. Clear explanations of MCP concepts 2. Live code examples in multiple languages 3. Exercises to build real MCP applications 4. Extra resources for advanced learners ## 📜 License Information This content is licensed under the **MIT License**. For terms and conditions, see the [LICENSE](./LICENSE). ## 🤝 Contribution Guidelines 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>. When you submit a pull request, a CLA bot will automatically determine whether you need to provide a CLA and decorate the PR appropriately (e.g., status check, comment). Simply follow the instructions provided by the bot. You will only need to do this once across all repos using our CLA. This project has adopted the [Microsoft Open Source Code of Conduct](https://opensource.microsoft.com/codeofconduct/). For more information see the [Code of Conduct FAQ](https://opensource.microsoft.com/codeofconduct/faq/) or contact [opencode@microsoft.com](mailto:opencode@microsoft.com) with any additional questions or comments. ## ™️ Trademark Notice This project may contain trademarks or logos for projects, products, or services. Authorized use of Microsoft trademarks or logos is subject to and must follow [Microsoft's Trademark & Brand Guidelines](https://www.microsoft.com/legal/intellectualproperty/trademarks/usage/general). Use of Microsoft trademarks or logos in modified versions of this project must not cause confusion or imply Microsoft sponsorship. Any use of third-party trademarks or logos is subject to those third-parties' policies.