使用说明
-------uv init
Initialized project sifirdan
-------cursor .
-------uv venv Using CPython 3.13.5 interpreter at: C:\Users\goekhan.karacay\AppData\Local\Programs\Python\Python313\python.exe Creating virtual environment at: .venv Activate with: .venv\Scripts\activate
-------.venv\Scripts\activate
(sifirdan) -------
active etmek icin => .venv\Scripts\activate ====>Buraya kadar virtual envr icindi=>
====> langchain icin=> -(sifirdan) -------uv add langchain-mcp-adapters langgraph "langchain[openai]" -(sifirdan) -------uv add python-dotenv-bunlari yapinca söyle oluyor =====>. pyproject.toml => dependencies = [ "langchain-mcp-adapters>=0.1.12", "langchain[openai]>=1.0.3", "langgraph>=1.0.2", "python-dotenv>=1.2.1", ]
artik yaparsak calismali=> uv run main.py
CHEATSHEET
[Hands On] Setting Up Our Environment- Cheat Sheet Quick Project Setup: Copy-Paste These Commands for lazy folks like me ;)
git checkout --orphan project/langchain-mcp-adapters
git rm -rf .
uv init
uv venv
source .venv/bin/activate
uv add langchain-mcp-adapters langgraph langchain-openai
uv add python-dotenv
git add .
(Commit command via Cursor AI - not explicitly listed)
(Push command - not explicitly listed, but implied after setting upstream)
Alternative commands to clone the resulting state:
git clone -b project/langchain-mcp-adapters https://github.com/emarco177/mcp-crash-course.git cd langchain-mcp-adapters git checkout f3567e5babb9bc91e8406d41ee82f2331f5641fe
------------------sonra servers klasörü ve icerisine init.py ve math_server.py olustur math_server repodan kopyala=> https://github.com/langchain-ai/langchain-mcp-adapters weather_server repodan kopyala=> https://github.com/langchain-ai/langchain-mcp-adapters
uv run servers/math_server.py uv run servers/weather_server.py => INFO: Uvicorn running on http://127.0.0.1:8000 (Press CTRL+C to quit)
