Cursor 安装指南
常与开发类 MCP Server 搭配使用的 AI 代码编辑器。
MCP Servers
Building MCP servers with Delphi
The Meshery MCP Server extension - an MCP server that streamlines and accelerates creating Meshery designs
Official BaseHub MCP server.
Omnigentx Jarvis — voice + chat AI assistant powered by Fast Agent (MCP) with Vue dashboard. Single-user, self-hosted, multi-skill orchestration.
Lighthouse for MCP — score any MCP server 0–100.
one go multi-agent system like manus using any MCP you want with configuration // 一个go语言编写的类似manus的多智能体系统，可以通过配置连接任何你想使用的MCP组件
💫 Tachyon MCP Runtime for Java and Kotlin - Model Context Protocol (MCP) server with Streamable HTTP, native Netty transports, tools, tasks, resources, prompts, completions, resumable sessions, and...
An example of the Epic Stack with a /mcp endpoint
MCP bridge system optimized for Xiaozhi AI integration
Yet another minimal MCP server for Unity
LLM Gateway to call 100+ LLM APIs in OpenAI format with MCP supported.
Aseprite MCP Pro — AI-powered pixel art creation for Aseprite via Model Context Protocol. 121 tools for sprites, drawing, animation, palettes, export, and Godot integration.
Agent Skills
fly ai agent skill
License MIT · skills.sh Compatible Runtime
About • How It Works • Documentation • Quickstart • Skills • Templates
Visual skill manager for AI agents. Desktop app and TUI.
A Codex skill that turns a startup URL or product idea into a qualified shortlist of potential first customers using recent public pain, demand, and timing signals.
A high-performance Markdown parser and renderer for Angular, React, Svelte, Vue, HTML and ANSI.
The MATLAB Agentic Toolkit brings trusted MATLAB capabilities to AI agents, making engineering and scientific workflows agent-ready.
Large Language Models (LLMs) have rapidly evolved into powerful general-purpose reasoning and generation engines.
基于 Vant 设计语言，为小程序与 H5 提供一致、类型安全且高度可定制的开发体验。
agent skills for vibe motion
Codex Skill for producing authorized digital-human talking-head videos with MiniMax overseas voice cloning and HeyGen Image-to-Video.
本项目围绕吴恩达老师在 DeepLearning.AI 推出的 Agentic AI 系列课程，致力于为中文学习者提供高质量的课程内容翻译、系统化的知识梳理、关键概念解析以及配套示例代码的详细解读。项目不仅帮助学习者跨越语言障碍，更通过结构化整理与实践引导，深入理解“智能体”（Agent）在现代 AI 系统中的核心作用，掌握构建自主、协作、推理型 AI 应用的关键方法。