mcp-for-beginners and mcp-smart-notes

The note-taking system and its auto-tagging feature, leveraging local LLMs and full MCP specification compliance, appears to be an application or implementation that would benefit from the open-source curriculum introducing the fundamentals of Model Context Protocol (MCP) through cross-language examples, making them **complements**.

mcp-for-beginners
73
Verified
mcp-smart-notes
32
Emerging
Maintenance 22/25
Adoption 10/25
Maturity 16/25
Community 25/25
Maintenance 2/25
Adoption 3/25
Maturity 15/25
Community 12/25
Stars: 15,320
Forks: 4,986
Downloads:
Commits (30d): 307
Language: Jupyter Notebook
License: MIT
Stars: 3
Forks: 1
Downloads:
Commits (30d): 0
Language: Python
License: MIT
No Package No Dependents
Stale 6m No Package No Dependents

About mcp-for-beginners

microsoft/mcp-for-beginners

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.

This curriculum teaches developers how to build robust and scalable AI applications by standardizing communication between AI models and various tools or services. It provides hands-on, cross-language examples to help developers integrate AI components seamlessly. The target users are developers who want to create intelligent systems using .NET, Java, TypeScript, JavaScript, Rust, or Python.

AI development application architecture software engineering API integration system design

About mcp-smart-notes

spewp/mcp-smart-notes

Prototype Model Context Protocol (MCP) note-taking system with intelligent auto-tagging powered by local LLMs. Full MCP specification compliance, JSON-RPC 2.0 transport, and robust error handling with graceful fallbacks.

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