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.
This course teaches developers how to build AI applications that connect Large Language Models (LLMs) to external tools and data sources. It takes existing LLMs and shows how to integrate them with other software components to create more intelligent and context-aware AI systems. This is for developers who want to expand the capabilities of their AI agents.
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.
This project provides guides and examples for developers to understand and implement the Model Context Protocol (MCP). It helps you integrate AI applications (like large language models) with external data sources and tools. You'll learn to connect your AI with databases, APIs, and local systems to expand its capabilities. This resource is for software developers building or integrating AI agents and applications.
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