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
Search a codebase by meaning, then follow the result into definitions, callers, and dependency paths.
MCPSafari: Native Safari MCP Server for AI Agents
Deploy anything on your own servers. Connect a server, click deploy, done. MIT licensed and free to self-host forever.
Unified native desktop UI for Claude Code, Gemini CLI, Hermes, Crush, Codex, and Cursor — multi-agent, MCP-native, written in Rust + GPUI.
A live layered dependency map for bottom-up development — MCP server + terminal pane for Claude Code, Codex CLI and any MCP client.
Works transparently with , , , and any MCP-compatible agent. Also supports shell command governance and a language-agnostic HTTP API.
Total recall for your terminal. Shared memory for your AI agents.
A domain harness for AI-assisted mobile development and testing. Unified device logs, network traffic interception, and UI automation — exposed through APIs and MCP tools that let AI agents...
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
An MCP server that lets AI agents read and draw on the Figma canvas — safely. Paired with a Figma plugin, it provides structured verification, safe-by-default drawing, and resilient multi-window...
allows AI to control the Godot Editor to create scenes, nodes, scripts. It can debug script errors, debugger and output logs.
This MCP server enables dynamic creation, editing and saving of PowerPoint presentations. Built upon the MCP and using the python-pptx library, it provides a flexible interface to add slides, images,...
Agent Skills
A Copilot CLI skill that analyzes your repository and generates the configuration files AI agents need to contribute correctly.
用最少的提示词，识别并去除中文 AI 写作痕迹。
One command drops a tested, versioned skill into your agent. No more ad-hoc prompts. The same rigorous steps run every time.
A comprehensive collection of agent-optimized skills for AI coding assistants working in the LangChain ecosystem.
Practices, protocols, and skills for AI-driven software development
Visit the interactive documentation at: https://dmccreary.github.io/ibook-skills/
Multi-harness control protocol that turns requests into approved design contracts, orchestrating isolated worker sessions for sequential implementation and independent code reviews under Orca...
专为 优化的 Codex skill，大幅降低 token 消耗并提升前缀缓存命中率。
AI Unified Process (AIUP) is a requirements-first workflow for taking software from a product vision to reviewed specifications, implementation, and traceable tests.
git checkout for releases that span many repos. Version tags that restore your whole product. No server, no database, any language.
Agent-native persistent knowledge management — compile knowledge once, query forever.
The real-time engine for AI agents on the JVM. Tokens flow from the LLM runtime to the client through a broadcaster you can filter, gate, and observe — over WebSocket, SSE, long-polling, or gRPC, and...