What is the purpose of this project?
It is a learning resource and playground for experimenting with MCP Server implementations, based on a TypeScript tutorial.
@psaboia
基本信息
MCP Server example with TypeScript
使用下面的配置,将此服务器添加到你的 MCP 客户端。
{
"mcpServers": {
"mcp-server-playground": {
"command": "npx",
"args": [
"-y",
"@smithery/cli",
"install",
"mcp-server-playground",
"--client",
"claude"
]
}
}
}工具列表暂未提供
当前收录暂时没有可展示的工具列表,不代表服务没有工具。请查阅项目文档了解支持的能力。
点击上方按钮,在临时沙箱中运行此服务器并实时获取工具列表。
MCP Server Playground is a sandbox environment for learning and experimenting with Model Context Protocol (MCP) servers built in TypeScript. It is designed for developers who want to test integrations with Claude Desktop and Cursor IDE.
Install via Smithery using npx -y @smithery/cli install mcp-server-playground --client claude, or manually clone the repo, run npm install and npm run build. Configure environment variables in a .env file and use scripts like npm run watch or npm run inspector for development.
It is a learning resource and playground for experimenting with MCP Server implementations, based on a TypeScript tutorial.
Node.js v12 or higher, npm (or Yarn), and TypeScript (if not installed globally).
Either via Smithery using the provided CLI command, or by cloning the repository and running `npm install` and `npm run build`.
Yes, the server is designed to be integration-ready and tested with Claude Desktop and Cursor IDE.
Yes, contributions are welcome; the modular design allows adding new commands, integrations, and features.

Yuppsy MCP: build and publish real estate websites from your AI assistant. Yuppsy lets your AI assistant create live websites for real estate agents and individual property listings. You don't need a designer or any code

See and control a real Windows PC you own — from any MCP client, locally or remotely. Observe (UIA + screenshots), click/type/drag/scroll, launch apps, owner Live View. BYOH: your machine, your key.
AI Agents & MCPs & AI Workflow Automation • (~400 MCP servers for AI agents) • AI Automation / AI Agent with MCPs • AI Workflows & AI Agents • MCPs for AI Agents

Handl speaks the Model Context Protocol. Your whole billing operation — projects, invoices, clients, reports, approvals — as tools any AI assistant can call, inside your autonomy rules.
A curated list of references for MLOps
评论