mcp-crash-course and model-context-protocol-resources
These two tools are complements, with the crash course providing structured learning with project-based branches for Streamable-HTTP, LangChain, and Docker, while the resources offer practical guides, client, and server implementations for deeper exploration of the Model Context Protocol.
About mcp-crash-course
emarco177/mcp-crash-course
Hands-on crash course for the Model Context Protocol (MCP) with project-based branches on Streamable-HTTP, LangChain adapters, and Docker.
Implements MCP through multiple transport mechanisms including Server-Sent Events (SSE) and stdio, with specialized branches teaching integration patterns for LangChain adapters and FastMCP 2.0 prompt handling. The learning structure uses chronologically-ordered Git commits within feature branches, allowing developers to trace architectural decisions step-by-step from initial server setup through production containerization with Docker.
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.
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