ai.smithery/smithery-ai-cookbook-python-quickstart
编码与调试by smithery-ai
使用 FastMCP 和 python 构建的简洁 MCP server,适合作为快速上手、学习与示例参考。
什么是 ai.smithery/smithery-ai-cookbook-python-quickstart?
使用 FastMCP 和 python 构建的简洁 MCP server,适合作为快速上手、学习与示例参考。
README
Smithery Cookbook
The Smithery Cookbook provides code examples and guides designed to help developers build MCP (Model Context Protocol) servers and clients, offering copy-able code snippets that you can easily integrate into your own projects.
Prerequisites
To make the most of the examples in this cookbook, you'll need:
- Smithery CLI: Install with
npm install -g @smithery/clito access the interactive playground and development tools - Programming language runtimes for the examples you want to explore (Python 3.12+, Node.js 18+, etc.)
- Basic understanding of the Model Context Protocol (MCP)
Quick Start
-
Clone this repository:
bashgit clone https://github.com/smithery-ai/smithery-cookbook.git cd smithery-cookbook -
Choose an example and follow its README:
bashcd servers/python/quickstart # Follow the README.md instructions -
Test with Smithery Playground:
bashnpx @smithery/cli playground --port 8081Note: Replace
8081with the port your server is running on -
Deploy to Smithery (optional): Ready to share your MCP server? Deploy it here to host it on Smithery's platform.
Table of Recipes
Python Servers
- FastMCP Quickstart - Basic server with greeting tool
- FastMCP Advanced - Server with session configuration
- Migrate STDIO to HTTP - Server with custom Docker container
TypeScript Servers
- TypeScript Quickstart - Simple server with character counting tool
- TypeScript Session Config - Server with session configuration
- Migrate STDIO to HTTP - Smithery CLI - Server using Smithery CLI
- Migrate STDIO to HTTP - Custom Container - Server with custom Docker container
Development Workflow
Build and distribute your MCP servers with Smithery:
- Build your MCP server using the language and framework of your choice
- Test interactively with
npx @smithery/cli playground - Debug with real-time request/response inspection
- Deploy to Smithery's hosted platform - Deploy here
- Distribute your server gets its own page at
smithery.ai/server/{name}for others to discover and use
Explore Further
Looking for more resources to enhance your MCP development experience?
- Smithery Documentation - Complete guides and API reference
- Deploy Your MCP Server - Host your server on Smithery's platform
- Model Context Protocol Specification - Official MCP documentation
- Smithery Discord Community - Get help and share your projects
If you have ideas for new examples or guides, share them on the issues page.
License
MIT License
常见问题
ai.smithery/smithery-ai-cookbook-python-quickstart 是什么?
使用 FastMCP 和 python 构建的简洁 MCP server,适合作为快速上手、学习与示例参考。
相关 Skills
前端设计
by anthropics
面向组件、页面、海报和 Web 应用开发,按鲜明视觉方向生成可直接落地的前端代码与高质感 UI,适合做 landing page、Dashboard 或美化现有界面,避开千篇一律的 AI 审美。
✎ 想把页面做得既能上线又有设计感,就用前端设计:组件到整站都能产出,难得的是能避开千篇一律的 AI 味。
网页构建器
by anthropics
面向复杂 claude.ai HTML artifact 开发,快速初始化 React + Tailwind CSS + shadcn/ui 项目并打包为单文件 HTML,适合需要状态管理、路由或多组件交互的页面。
✎ 在 claude.ai 里做复杂网页 Artifact 很省心,多组件、状态和路由都能顺手搭起来,React、Tailwind 与 shadcn/ui 组合效率高、成品也更精致。
网页应用测试
by anthropics
用 Playwright 为本地 Web 应用编写自动化测试,支持启动开发服务器、校验前端交互、排查 UI 异常、抓取截图与浏览器日志,适合调试动态页面和回归验证。
✎ 借助 Playwright 一站式验证本地 Web 应用前端功能,调 UI 时还能同步查看日志和截图,定位问题更快。
相关 MCP Server
GitHub
编辑精选by GitHub
GitHub 是 MCP 官方参考服务器,让 Claude 直接读写你的代码仓库和 Issues。
✎ 这个参考服务器解决了开发者想让 AI 安全访问 GitHub 数据的问题,适合需要自动化代码审查或 Issue 管理的团队。但注意它只是参考实现,生产环境得自己加固安全。
Context7 文档查询
编辑精选by Context7
Context7 是实时拉取最新文档和代码示例的智能助手,让你告别过时资料。
✎ 它能解决开发者查找文档时信息滞后的问题,特别适合快速上手新库或跟进更新。不过,依赖外部源可能导致偶尔的数据延迟,建议结合官方文档使用。
by tldraw
tldraw 是让 AI 助手直接在无限画布上绘图和协作的 MCP 服务器。
✎ 这解决了 AI 只能输出文本、无法视觉化协作的痛点——想象让 Claude 帮你画流程图或白板讨论。最适合需要快速原型设计或头脑风暴的开发者。不过,目前它只是个基础连接器,你得自己搭建画布应用才能发挥全部潜力。