MCP Crash Course 🚀
Overview
What is MCP Crash Course?
The MCP Crash Course is a hands-on learning repository designed to teach the fundamentals and advanced concepts of the Model Context Protocol (MCP), which connects AI applications powered by Large Language Models (LLMs) to external tools and data sources.
How to use MCP Crash Course?
To use the MCP Crash Course, clone the repository, choose a topic from the available branches, and follow the chronological commits to learn step-by-step.
Key features of MCP Crash Course?
- Unique branch-based structure for learning specific MCP features.
- Step-by-step commits for each topic.
- Topics include Server-Sent Events (SSE), LangChain integration, and Docker containerization.
Use cases of MCP Crash Course?
- Learning how to implement Server-Sent Events with MCP.
- Integrating MCP with LangChain adapters for enhanced AI capabilities.
- Containerizing MCP applications using Docker for deployment.
FAQ from MCP Crash Course?
- What is the Model Context Protocol?
The Model Context Protocol (MCP) helps connect AI applications to external tools and data sources for more context-aware systems.
- What prerequisites are needed?
You need Python (3.10 or higher),
uv, Cursor IDE, and Claude Desktop installed.
- How can I contribute to the project?
You can fork the repository, create a new branch for your feature, and submit a Pull Request.
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