ai.smithery/miguelgarzons-mcp-cun
平台与服务by miguelgarzons
根据姓名生成友好且个性化的问候消息,为 onboarding、演示和首次接触增添更温暖的体验。
什么是 ai.smithery/miguelgarzons-mcp-cun?
根据姓名生成友好且个性化的问候消息,为 onboarding、演示和首次接触增添更温暖的体验。
README
Character Counter MCP Server - Python Quickstart
A simple example of creating an MCP server using FastMCP and Python, designed to work with Smithery.
What This Does
This server provides a character counter tool called count_character that counts how many times a specific character appears in a given text. You'll test it using the Smithery Playground for interactive development.
Prerequisites
- Python 3.12 or higher
- A Python package manager (uv recommended, but pip, poetry, etc. also work)
- Node.js and npx (optional, for Smithery Playground)
Quick Start
-
Clone the repository:
bashgit clone https://github.com/smithery-ai/smithery-cookbook.git cd smithery-cookbook/servers/python/quickstart -
Install dependencies:
With uv (recommended):
bashuv syncWith poetry:
bashpoetry installWith pip:
bashpip install -r requirements.txt -
Run the server:
You have two options:
Option A: Just run the server
bash# With uv uv run smithery dev # or use the shorter script alias: uv run dev # With poetry poetry run smithery dev # or use the shorter script alias: poetry run dev # With pip (after installing dependencies) smithery devThis starts the MCP server on
http://localhost:8081and keeps it running.Option B: Run server + open playground (recommended for testing)
bash# With uv uv run smithery playground # or use the shorter script alias: uv run playground # With poetry poetry run smithery playground # or use the shorter script alias: poetry run playground # With pip (after installing dependencies) smithery playgroundThis starts the MCP server AND automatically opens the Smithery Playground in your browser where you can:
- Interact with your MCP server in real-time
- Test the
count_charactertool with different text and characters - See the complete request/response flow
- Debug and iterate on your MCP tools quickly
Testing the Character Counter
Try asking: "How many r's are in strawberry?"
- Deploy to Smithery:
To deploy your MCP server:
- Push your code to GitHub (make sure to include the
smithery.yaml) - Connect your repository at https://smithery.ai/new
- Push your code to GitHub (make sure to include the
Your server will be available over HTTP and ready to use with any MCP-compatible client!
Stopping the Server
Press Ctrl+C in the terminal to stop the server.
常见问题
ai.smithery/miguelgarzons-mcp-cun 是什么?
根据姓名生成友好且个性化的问候消息,为 onboarding、演示和首次接触增添更温暖的体验。
相关 Skills
MCP构建
by anthropics
聚焦高质量 MCP Server 开发,覆盖协议研究、工具设计、错误处理与传输选型,适合用 FastMCP 或 MCP SDK 对接外部 API、封装服务能力。
✎ 想让 LLM 稳定调用外部 API,就用 MCP构建:从 Python 到 Node 都有成熟指引,帮你更快做出高质量 MCP 服务器。
Slack动图
by anthropics
面向Slack的动图制作Skill,内置emoji/消息GIF的尺寸、帧率和色彩约束、校验与优化流程,适合把创意或上传图片快速做成可直接发送的Slack动画。
✎ 帮你快速做出适配 Slack 的动图,内置约束规则和校验工具,少踩上传与播放坑,做表情包和演示都更省心。
邮件模板
by alirezarezvani
快速搭建生产可用的事务邮件系统:生成 React Email/MJML 模板,接入 Resend、Postmark、SendGrid 或 AWS SES,并支持本地预览、i18n、暗色模式、反垃圾优化与追踪埋点。
✎ 面向营销与服务场景,快速搭建高质量邮件模板,省去反复设计与切图成本,成熟度和社区认可都很高。
相关 MCP Server
Slack 消息
编辑精选by Anthropic
Slack 是让 AI 助手直接读写你的 Slack 频道和消息的 MCP 服务器。
✎ 这个服务器解决了团队协作中需要 AI 实时获取 Slack 信息的痛点,特别适合开发团队让 Claude 帮忙汇总频道讨论或发送通知。不过,它目前只是参考实现,文档有限,不建议在生产环境直接使用——更适合开发者学习 MCP 如何集成第三方服务。
by netdata
io.github.netdata/mcp-server 是让 AI 助手实时监控服务器指标和日志的 MCP 服务器。
✎ 这个工具解决了运维人员需要手动检查系统状态的痛点,最适合 DevOps 团队让 Claude 自动分析性能数据。不过,它依赖 NetData 的现有部署,如果你没用过这个监控平台,得先花时间配置。
by d4vinci
Scrapling MCP Server 是专为现代网页设计的智能爬虫工具,支持绕过 Cloudflare 等反爬机制。
✎ 这个工具解决了爬取动态网页和反爬网站时的头疼问题,特别适合需要批量采集电商价格或新闻数据的开发者。不过,它依赖外部浏览器引擎,资源消耗较大,不适合轻量级任务。