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This open-source curriculum introduces the fundamentals of Model Context Protocol (MCP) through real-world, cross-language examples in .NET, Java, TypeScript, JavaScript, Rust and Python. Designed for developers, it focuses on practical techniques for building modular, scalable, and secure AI workflows from session setup to service orchestration.
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A lightweight, powerful framework for multi-agent workflows
Visit ↗| Fact | mcp-for-beginners | openai-agents-python |
|---|---|---|
| GitHub stars | 16.9K | 28.3K |
| Forks | 5.5K | 4.4K |
| Open issues | 7 | 63 |
| Last commit | 3 days ago | yesterday |
| Primary language | Jupyter Notebook | Python |
Both products are placed in AI agents & autonomous workflows. A category organises the market; it carries no score. See all mcp-for-beginners alternatives.