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
An MCP server application that sends various types of messages to the WeCom group robot.
A FastMCP server implementation for controlling Apple Music (formerly iTunes) on macOS through AppleScript commands.
An MCP server that exposes UniFi application API documentation (Network, Protect, Site Manager) as queryable tools for Claude Desktop, Claude Code (VS Code / JetBrains), or any MCP-compatible client.
MCP server that connects Claude to Cavalry animation software. Create layers, set attributes, animate with keyframes, render frames, and more — all through natural language.
MCP 支持两种通信传输方法：STDIO（标准输入/输出）或 SSE（服务器推送事件），两者都使用 JSON-RPC 2.0 进行消息格式化。STDIO 用于本地集成，而 SSE 用于基于网络的通信。
This project is a Python-based CapCut processing tool that offers the following core functionalities:
Welcome to the Kanban MCP project! 🎉 This project integrates Planka kanban boards with Cursor's Machine Control Protocol (MCP) to enable AI assistants like Claude to manage your kanban boards.
MCP server for browsing, searching, and exporting Cursor AI chat history.
An MCP server to create, manage and publish X/Twitter posts directly through Claude chat.
An MCP server that provides programmatic access to Apple Mail, enabling AI assistants like Claude to read, send, search, and manage emails on macOS.
- Learn more about the Deep Research Agent at docs.octagonagents.com
MCP server that triangulates customer support tickets and feature requests to help PMs decide what to build next
Agent Skills
Shiny for Python is the best way to build fast, beautiful web applications in Python. You can build quickly with Shiny and create simple interactive visualizations and prototype applications in an...
One Python API: store media, run models, index embeddings, serve endpoints, and version everything in a single system instead of gluing together blob storage, a vector DB, an orchestrator, and edge...
Adala is an **utonomous **ta (**abeling) **gent framework.
Beautiful UI components built for Better Auth.
KAI Scheduler is a robust, efficient, and scalable Kubernetes scheduler that optimizes GPU resource allocation for AI and machine learning workloads.
Your AI skills and agents, finally organized.
Model export recipes, Python primitives, and Swift runtime utilities for building on-device AI with Core AI.
本项目是基于吴恩达老师在 DeepLearning.AI 平台推出的 agent-skills-with-anthropic 系列课程的中文学习资料整理项目。我们致力于为中文学习者提供高质量的课程内容翻译、系统的知识点梳理以及详细的示例代码解读，帮助大家更轻松地掌握 Agent Skills。
A collection of AI agent skills focused on resume optimization, job applications, and career development.
For more advanced capabilities and end-to-end machine learning, visit www.k-dense.ai.
upfetch is an advanced fetch client builder with standard schema validation, automatic response parsing, smart defaults and more.
📚 Check out the comprehensive docs with detailed guides, examples, and best practices!