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
MCP server providing code intelligence using static analysis
MCP server that generates ATS-friendly CVs, cover letters, and email templates tailored to any job description
Self-hostable, MCP-native testing platform. Manual test management, deterministic runs, optional AI. Your stack, your LLM, your data.
EU AI Act MCP (Model Context Protocol) that connects to your AI agents, helping you to comply with the EU AI Act.
A Model Context Protocol (MCP) server that provides tools for interacting with MindReset devices. This server implements the official MindReset API endpoints for displaying text and images on...
Local project management with Kanban UI, CLI, and MCP server for AI assistants. SQLite-backed, single binary, installable via Homebrew.
An MCP server for unconventional and boundary-breaking problem-solving through an advanced note-taking system.
A wrapper around the Linear API for internal LLMs
MCP server for Outlook email, calendar, and contacts — let your AI assistant manage your inbox directly from the conversation.
Sync Roblox games between Studio and VS Code with MCP integration
A MCP server that allows AI models to interact with the Rockwell Automation SDK and internal documentation that comes with downloading the software
一个用于检测Model Context Protocol (MCP)安全性的Chrome扩展工具。
Agent Skills
SigNoz Website
Open-source Claude Code plugin porting the internal /skillify skill: turn a finished session's repeatable workflow into a reusable SKILL.md you can rerun with a slash command.
Claude Code skill + Remotion scaffold for building polished product launch videos.
Permissionless infrastructure for agents. No human intervention required.
Develop Swift/iOS projects using VSCode
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.
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.
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.
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...