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

Provides easy-to-use kits that allow you to quickly create MCP servers Any embedded devices

MCP Server for Teenage Engineering EP-133 KO-II

MCP Server for Computer Use in Windows

A universal VS Code extension that bridges any Language Server Protocol (LSP) capabilities to MCP tools and GitHub Copilot Language Model Tools, enabling intelligent code navigation and analysis...

Extract any website's complete design system with one command. DTCG tokens, semantic+primitive+composite, MCP server for Claude Code/Cursor/Windsurf, multi-platform emitters (iOS SwiftUI, Android...

Axon Pro transforms flat codebases into structural knowledge graphs, providing AI agents and developers with 100% precise architectural awareness across polyglot microservices and modern web...

Search 284 episodes of Lenny's Podcast transcripts directly from Claude. Get instant access to product wisdom from guests like Shreyas Doshi, Julie Zhuo, Brian Chesky, and hundreds more.

is a next-generation agent orchestration framework that enables intelligent agents to control and coordinate actions across creative and technical tools in real time using the .

An MCP (Model Context Protocol) server implementation for generating images using Replicate's black-forest-labs/flux-schnell model.

This is a Model Context Protocol (MCP) server built with TypeScript. It provides a versatile tool to fetch and parse any standard RSS/Atom feed, and also includes special support for RSSHub feeds.

HA-MCP Custom Component - HACS distribution mirror of homeassistant-ai/ha-mcp (integration only)

A Python-based Model Context Protocol (MCP) server that provides AI assistants like Claude with access to your Radarr (movies) and Sonarr (TV series) data.
Agent Skills

PhoneClaw turns phones into local AI agent runtimes with on-device models, native mobile Skills, LiveLand, and optional Mac Gateway inference.

Meteor, the JavaScript App Platform

Claude Code Dedicated Development Harness - Achieving High-Quality Development Through an Autonomous Plan→Work→Review Cycle

Stop configuring your AI stack. Start using it. One command brings a complete pre-wired LLM stack with hundreds of services to explore.

"To achieve great things, two things are needed: a plan and not quite enough time." - attributed to Leonard Bernstein

StarVLA: A Lego-like Codebase for Vision-Language-Action Model Developing

Plugin-skill wrapper around Z4nzu/hackingtool. Runs locally on any OS — native Bash on Linux/macOS, WSL on Windows, or purpose-built Docker images (instrumentisto/nmap, projectdiscovery/nuclei,...

Due-Process Review for Bounded LaTeX Revision

Effortlessly compose, extend, and observe every service in real-time for the first time ever.

Expose local http, tcp or websocket connections to the public internet

Algorithmic Trading in Python with Machine Learning

autonomous harness engineering