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
A Model Context Protocol (MCP) implementation that enables seamless integration between Claude AI and desktop applications through Cursor IDE.
A simple template for creating custom tools for Cursor IDE using Model Context Protocol (MCP). Create your own repository from this template, modify the tools, and connect them to your Cursor IDE.
This repository demonstrates how to build intelligent web automation agents using Amazon Nova Act integrated with MCP (Model Context Protocol).
TSGram MCP connects Claude Code sessions to Telegram using TS/Node/Docker/cli-utils, enabling AI-powered code assistance directly in your Telegram chats.
This project implements a Model Context Protocol (MCP) server that exposes Google's Veo2 video generation capabilities.
Enable MCP features for any Gin API with a line of code. Gin-MCP is an opinionated, zero-configuration library that automatically exposes your existing Gin endpoints as Model Context Protocol (MCP)...
Flux is your ultimate task management sidekick – a lightning-fast Kanban board that lets humans, AI agents, and automations team up to crush chaos.
A Model Context Protocol (MCP) server for integrating AI assistants with Printify's print-on-demand platform.
is a tool that helps you easily and quickly register Anthropic's Model Context Protocol (MCP) in Claude Desktop and Cursor.
Model Context Protocol (MCP) servers for the HeroUI design system. Access HeroUI component documentation directly in your AI assistant.
Local-first and static by default — no agent execution, tool calls, LLM calls, or network access.
OpenAI-API compatible terminal chatbot and MCP client in Rust
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