Skip to main content

《MCP极简开发》学习笔记

本项目基于Datawhale组队学习的共读《MCP极简开发》课程,主要包括学习笔记和项目代码。

项目地址:https://github.com/datawhalechina/mcp-lite-dev

环境安装

  1. 基础环境:Python3.10+

  2. 安装UV

pip install uv
set UV_INDEX=https://mirrors.aliyun.com/pypi/simple
  1. 安装Python依赖包
uv sync --python 3.10 --all-extras
  1. 切换到本地环境(.venv)
cd .venv/Scripts
activate

配置文件

  1. 访问openweathermap网站,注册账号,获取API KEY

  2. 在项目根目录下新建.env文件,并添加以下内容

OPENWEATHER_API_KEY=YOUR_API_KEY
  1. 访问硅基流动网站,注册账号,获取API KEY
    注:书中使用的是deepseek,我们使用硅基流动的模型,其实效果是一样的。

  2. 在项目根目录下新建.env文件,并添加以下内容

BASE_URL=https://api.siliconflow.cn/v1
MODEL=deepseek-ai/DeepSeek-V3
API_KEY=YOUR_API_KEY

项目协作安排

章节号 标题 进度 负责人
1 快速了解MCP 进行中 王子怡
2 MCP核心原理 进行中 洪可壕
3 MCP的安全问题 进行中 易华挥
4 支持MCP的主流平台 进行中 -
5 MCP Server资源整理 进行中 -
6 动手写一个MCP 进行中 尹大吕
7 MCP开发进阶 进行中 钟永麟
8 基于MCP Server的IDE应用实战 进行中 -
9 基于MCP Server的生活类智能体应用 进行中 -
10 基于MCP Server的个人效率智能体应用 进行中 -
11 基于MCP Server的办公效率智能体应用 进行中 -

致谢

核心贡献者

其他

  1. 特别感谢 @Sm1les、@LSGOMYP 对本项目的帮助与支持;

阅读提示

第7.2.2节 MCP Server的上线发布

  1. 请登录PyPI官方网站注册账号。

  2. 访问PyPI官网-我的账户创建API token。

  3. 在项目根目录下执行以下命令,进行项目打包和上传发布,需要使用到API token:

python -m build
python -m twine upload dist/*

关注我们

扫描下方二维码关注公众号:Datawhale

Metadata

Release files for learnMCP-huangshuai 0.1.0

For a detailed explanation of source distributions (sdists) and built distributions (wheels), please see the package formats documentation.

Source distribution (sdist)

Source distribution for learnMCP-huangshuai 0.1.0
File Size Uploaded Provenance
learnmcp_huangshuai-0.1.0.tar.gz 8.9 kB Without provenance Details

Built distribution (wheel)

Table of built distributions (wheels) for learnMCP-huangshuai 0.1.0
File Interpreter ABI Platform
learnmcp_huangshuai-0.1.0-py3-none-any.whl Python 3 none any Details

Total release size: 18.9 kB

Release files / learnmcp_huangshuai-0.1.0.tar.gz

Download URL learnmcp_huangshuai-0.1.0.tar.gz
Size 8.9 kB
Tags Source
SHA-256 checksum
How to use checksums
aebbc27814dea6e98dae704c103c09b429b20f4168375189800bafeea4c7ac0d
BLAKE2b-256 checksum
How to use checksums
d7c1bb88bc9010bcd44b722a1dc345064368fe48d6f7fd50cdd9d5583c869e52
Upload date
Uploaded using Trusted Publishing?
What is trusted publishing?
No
Uploaded via twine/6.2.0 CPython/3.10.19

Release files / learnmcp_huangshuai-0.1.0-py3-none-any.whl

Download URL learnmcp_huangshuai-0.1.0-py3-none-any.whl
Size 10.1 kB
Tags Python 3
SHA-256 checksum
How to use checksums
2df85a23052fe57b5647b5b230a51ccb242031674047b1ac3e7cce36a9f940ee
BLAKE2b-256 checksum
How to use checksums
e0d29d85fefa175a6110c3b6819b5db7436674b82603e166362a9842265248f6
Upload date
Uploaded using Trusted Publishing?
What is trusted publishing?
No
Uploaded via twine/6.2.0 CPython/3.10.19

Security for learnMCP-huangshuai 0.1.0

Provenance

Provenance describes where a file came from. On PyPI, provenance is shared via attestations, which provide a verifiable record of the build or publishing details. View details, limitations and caveats.

No provenance found

None of the files in this release were uploaded with provenance metadata.

A note on package security

PyPI is a repository for distributing packages, not a service for auditing them. While third-party security researchers and our staff do their best to detect and remove malicious packages, PyPI cannot guarantee the quality, security or suitability of any given package.

To learn more about protecting yourself from malicious actors, visit our package security documentation.

Release history Release notifications | RSS feed

This release

0.1.0 This release

2 release files No provenance

Anthropic, PBC Visionary sponsor Bloomberg Visionary sponsor Hudson River Trading Visionary sponsor Meta Visionary sponsor NVIDIA Visionary sponsor Microsoft Sustainability sponsor Depot Continuous Integration AWS Cloud computing and Security Sponsor Datadog Monitoring Fastly CDN Google Download Analytics Sentry Error logging StatusPage Status page