mcp-for-beginners and model-context-protocol-resources

These are complements: the beginner-focused curriculum provides structured foundational learning across multiple languages, while the practical guides and implementations offer hands-on examples and working code to apply those concepts.

mcp-for-beginners
76
Verified
model-context-protocol-resources
36
Emerging
Maintenance 25/25
Adoption 10/25
Maturity 16/25
Community 25/25
Maintenance 2/25
Adoption 10/25
Maturity 9/25
Community 15/25
Stars: 15,320
Forks: 4,986
Downloads: —
Commits (30d): 171
Language: Jupyter Notebook
License: MIT
Stars: 270
Forks: 27
Downloads: —
Commits (30d): 0
Language: —
License: Apache-2.0
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.

The curriculum covers foundational MCP concepts like resource definitions, tool invocation patterns, and prompt templates across real-world server implementations. It emphasizes hands-on learning with code-along examples that demonstrate client-server communication via JSON-RPC over stdio transport, progressing from basic protocol mechanics to advanced patterns like dynamic resource discovery and error handling. The material aligns with the MCP specification (2025-11-25) and integrates with AI platforms like Claude, providing practical guidance on connecting MCP servers to LLM applications for tool use and context management.

About model-context-protocol-resources

cyanheads/model-context-protocol-resources

Exploring the Model Context Protocol (MCP) through practical guides, clients, and servers I've built while learning about this new protocol.

Based on the README, here's a technical summary: Includes 12+ production MCP server implementations (filesystem, Git, GitHub, PubMed, Perplexity, Obsidian) alongside TypeScript/Python client templates and multi-SDK support across TypeScript, Python, Kotlin, Java, and C#. The project provides structured guides for building both MCP clients and servers, establishing a standardized transport layer for AI agents to access external tools and data sources. Targets developers building agentic LLM applications requiring modular, extensible capability integration through the open MCP specification.

Related comparisons

mcp-for-beginners and mcp-crash-course mcp-for-beginners and mcptools mcp-for-beginners and artic-mcp mcp-for-beginners and MCP-Chinese-Getting-Started-Guide mcp-for-beginners and pluralsight-course-mcp-in-practice mcp-for-beginners and oorep-mcp

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