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
Official MCP Server for NewsNow, 40+ sources available.
AI-powered CLI and MCP server for browsing GitHub project documentation (unofficial tool)
MCP server that enables LLM agents to talk with IFC (Industry Foundation Classes) files
Safe DOCX suite: docx-primitives, docx-comparison, safe-docx MCP server
- 小爱音箱设备控制（支持40+款型号） - 涂鸦设备精准控制 - 场景联动执行
CLI-based tester for verifying that MCP servers work correctly when called directory and by agents
Complete Docker-based AI operations infrastructure: Paperclip, n8n, Supabase, OpenClaw, ruflo, and MCPs
Agent-operated App Store and monetization ops: metadata, IAPs, subscriptions, RevenueCat, paywalls, ASO, and analytics
A Model Control Protocol (MCP) server that allows Claude to communicate with locally running LLM models via LM Studio.
Claude Code multi-account manager, usage monitor (CLI, TUI & MCP cross-account delegation)
MCP server that exposes the CODESYS V3.5 IDE scripting API as 41 tools and 3 resources, with the CODESYS UI kept open across calls via a file-based IPC watcher.
TypeScript toolkit for the Plaud API: core library, CLI, and MCP server with automatic token management.
Agent Skills
将工单分析 SOP 固化为可复用的 Claude Skill，通过 agent-browser 稳定获取内网工单数据，并利用 AI 进行自动化分析。
Reference Checker Skill 是一个用于**的 AI Skill，适合研究生、科研作者、编辑、审稿助理和学术写作者使用。
Open-source multi-agent PM-ops team — associate PM, GTM, QA, data-analyst subagents and more, orchestrating product work end to end.
Claude Code / OpenClaw Skill。装进 agent 后，用一句自然语言生成 9:16 竖版卡片组（图文）或短视频脚本，配 caption + hashtags，按规范落盘。支持真实素材图生图、卖点分析、5种标题公式。
Curated Prompt Card library for LLM trainers, AI PMs, and evaluation teams.
如果在使用过程中遇到问题，请通过 Issues 反馈功能正确性问题和功能请求，其他问题请通过 Discussions 反馈～
VS Code in the terminal
Generate app icon artwork and Google Play feature graphics from the terminal with OpenAI or Google Gemini.
Sync and store bookmarks locally, manage Field Theory Library and command workflows, and make local context available to Claude Code, Codex, or any agent with shell access.
Fill-in-your-own-data framework for YouTube / short-form video automation: CapCut JSON + ffmpeg tooling + an onboarding questionnaire. Ships with zero private data.
🚧 We are actively refining our core, resumption protocols, and runtime specifications, which will introduce major breaking changes prior to a stable release.
Develop Swift/iOS projects using VSCode