What is the Model Context Protocol (MCP)?
MCP is a protocol that helps AI‑agentic applications powered by LLMs connect to external tools and data sources, making them more capable and context‑aware.
@phatpham-katalon
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A hands-on educational repository that teaches the Model Context Protocol (MCP)—a standard for connecting AI agents powered by LLMs to external tools and data sources. It is designed for developers who want to learn MCP fundamentals and advanced concepts through a structured, commit-by-commit approach.
Clone the repository, then check out a project/* branch for the topic you want to learn. Walk through the commits chronologically using git log --oneline --reverse to see each step. Prerequisites include Python 3.10+, uv, Cursor IDE, and Claude Desktop.
MCP is a protocol that helps AI‑agentic applications powered by LLMs connect to external tools and data sources, making them more capable and context‑aware.
Clone the repo, choose a `project/*` branch, and follow the commits in order using `git checkout` on each commit hash.
Three topics: `project/sse` (Server‑Sent Events), `project/langchain-mcp-adapters`, and `project/docker-mcp`. More may be added.
Python 3.10+, `uv` (fast Python package installer), Cursor IDE, and Claude Desktop.
Yes, contributions are welcome. Fork the repository, create a new branch named `project/your-mcp-feature-name`, and open a Pull Request against `main`.
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