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MCP Crash Course 🚀

@phatpham-katalon

关于 MCP Crash Course 🚀

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基本信息

分类

开发工具

许可证

Apache-2.0 license

运行时

python

传输方式

stdio

发布者

phatpham-katalon

配置

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代码仓库

工具

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概览

What is MCP Crash Course 🚀?

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.

How to use MCP Crash Course 🚀?

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.

Key features of MCP Crash Course 🚀?

  • Branch‑based learning for each MCP feature.
  • Chronological commits for step‑by‑step mastery.
  • Topics: SSE, LangChain adapters, Docker MCP.
  • Clean, focused code examples per topic.
  • Open source (Apache 2.0) and contribution friendly.

Use cases of MCP Crash Course 🚀?

  • Learn to implement Server‑Sent Events (SSE) with MCP.
  • Integrate MCP with LangChain using dedicated adapters.
  • Containerize MCP applications with Docker.
  • Understand MCP concepts from scratch via sequential commits.

FAQ from MCP Crash Course 🚀?

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.

How do I start learning from this repository?

Clone the repo, choose a project/* branch, and follow the commits in order using git checkout on each commit hash.

What topics are currently available?

Three topics: project/sse (Server‑Sent Events), project/langchain-mcp-adapters, and project/docker-mcp. More may be added.

What dependencies are required?

Python 3.10+, uv (fast Python package installer), Cursor IDE, and Claude Desktop.

Can I contribute a new topic?

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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