model-context-protocol-resources and introduction-to-mcp
These are complements: the first provides practical implementations and working examples of MCP servers and clients, while the second offers foundational conceptual learning materials that would naturally precede or accompany hands-on exploration of those implementations.
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.
About introduction-to-mcp
nisalgunawardhana/introduction-to-mcp
This repository serves as a comprehensive guide to understanding and utilizing the Model Context Protocol (MCP) in AI applications. Below, you will find an overview of the course content, objectives, and links to additional resources.
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