Cursor 설치 가이드
개발자용 MCP 서버와 함께 자주 쓰이는 AI 코드 에디터.
MCP Servers
Manage test cases, execute manual or automated tests, debug issues, and even fix code—directly within tools like Cursor, Claude, or any MCP-enabled client, using plain English.
One config to rule them all. Practical standard layer for multi-LLM development.
MCP server for Overleaf projects. Syncs LaTeX files via Git, parses sections, equations, and citations, and exposes them to AI clients for assisted paper review, LaTeX fixes, and content generation.
A FastMCP tool to search and retrieve Polars API documentation.
A Multi Agent Memory MCP That Connect Agents Across Systems and Machines
Agents Council The simplest way to bridge and collaborate across AI Agent sessions
The Universal MCP Server (Rust) exposes tools for Canva workflows—and —designed for usage in MCP-compatible clients.
Put Claude Code, Cursor, Codex, Gemini & Antigravity in one room — real-time multi-agent AI collaboration over MCP for distributed dev, code review, PR handoff & frontend↔backend integration.
MCP server for querying package ecosystem data from ecosyste.ms.
The Model-Context-Protocol (MCP) gives LLMs a way to call APIs and thus access external systems in a well-defined manner.
Website · Docs · Dashboard · Changelog · X · LinkedIn
Local-first CLI + MCP server: Any file → AI-ready Markdown + JSON
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...