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安装 Python 与 uv

使用 uv 包管理器创建一个干净的 Python 项目。

安装 Python 与 uv 是 CoddyKit 上的免费 MCP Academy 课时。 这是第 1 节课,共 4 节。 你可以在下方免费阅读本课时的完整内容 — 然后在浏览器中使用内置代码编辑器和全天候 AI 导师进行实践。 这是 MCP Academy 学习路径的一部分,你的进度在网页和 CoddyKit 应用中同步。 MCP Academy 课程共包含 4 节课。

本课时的部分内容尚未翻译,以英文显示。

A Clean Start

Before you build any MCP server, you need a tidy Python project. A clean start means fewer surprises and fewer broken installs later. Let's set the foundation. 🧱

Why a Version Matters

The MCP Python SDK needs a modern interpreter, so you want Python 3.10 or newer. Older versions miss the typing features the SDK relies on.

Meet uv

Instead of juggling pip and virtualenv, you'll use uv, a single fast tool that manages Python, packages, and environments for you in one place.

One Tool, Many Jobs

uv replaces pip, pip-tools, pyenv, and virtualenv at once. Learning one command set keeps your MCP workflow simple and consistent across every project. 🚀

Install uv

On macOS or Linux you can install uv with a single curl command. It drops a tiny binary on your path, ready to use immediately.

curl -LsSf https://astral.sh/uv/install.sh | sh

Confirm It Works

After installing, run a quick version check. If you see a version number, uv is on your path and ready to drive the rest of your setup.

uv --version

Let uv Manage Python

You don't even need Python installed first. With uv python install you can fetch any version uv manages, so your project is never tied to the system Python.

uv python install 3.12

Start a New Project

Spin up a fresh project folder with uv init. It scaffolds the files you need so you can start adding MCP code right away.

uv init mcp-server-demo

What uv init Creates

That command writes a pyproject.toml to declare your project and its dependencies. This file becomes the single source of truth for what your server needs.

The Hidden .venv

When you add a package, uv quietly creates a .venv folder, an isolated environment just for this project. Your global Python stays untouched and clean.

Run Without Activating

You never have to activate the venv by hand. uv run executes commands inside your project's environment automatically, so the right Python is always used.

uv run python --version

Quick Check

You're setting up a fresh MCP project from zero.

You Have a Workspace

You installed uv, let it manage Python, and scaffolded a clean project. With pyproject.toml and an isolated venv ready, you can now add the MCP SDK. ✅

常见问题解答

「安装 Python 与 uv」课时是免费的吗?

是的 — 「安装 Python 与 uv」的完整文本可在网页上免费阅读。要进行交互式练习(内置代码编辑器和全天候 AI 导师)并解锁 MCP Academy 课程的其余内容,请升级到 CoddyKit PRO。 MCP Academy 课程共包含 4 节课。

「安装 Python 与 uv」这节课中我会学到什么?

使用 uv 包管理器创建一个干净的 Python 项目。 你通过在浏览器中直接运行的动手代码来练习 MCP Academy,全天候 AI 导师会在你学习这节课的过程中回答你的问题。

学习 MCP Academy 需要有经验吗?

无需任何先前经验。CoddyKit 上的 MCP Academy 课程适合初学者到高级学习者,你可以从这里开始或从头开始,按照自己的节奏学习。 这是第 1 节课,共 4 节。

「安装 Python 与 uv」课时需要多长时间?

大多数 CoddyKit 课程大约需要 5–10 分钟。每节课都很精短且互动,所以你能稳步进步,并在网页和应用中从离开的地方继续。

我能在这节 MCP Academy 课中编写并运行代码吗?

能。每节 MCP Academy 课都包含内置代码编辑器,你可以在浏览器中直接编写并运行真实代码,并获得即时 AI 反馈 — 无需本地设置。

此课程中的所有课时

  1. 安装 Python 与 uv
  2. 添加 MCP Python SDK
  3. 认识 mcp CLI
  4. 服务器的项目布局
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