Cursor Install Guide
AI code editor frequently used with developer-focused MCP servers.
MCP Servers

MCP server enabling LLM assistants to interact with FL Studio's piano roll

This is the Revolut MCP server

MCP Server for Teenage Engineering EP-133 KO-II

Provides easy-to-use kits that allow you to quickly create MCP servers Any embedded devices

TIA Portal Openness MCP Server

Model Context Protocol (MCP) server for Emacs. Enables generating and running elisp code in a running Emacs process.

http4k MCP Desktop Client

Persistent, branch-aware workflow state memory MCP server for AI coding assistants. Tracks tasks, accepted decisions, and active blockers to prevent session context bloat and speed up development.

A curated catalog of Model Context Protocol (MCP) servers for discovering and integrating AI tools, data sources, and services.

This is the Revolut MCP server

Model Context Protocol (MCP) and Agent Client Protocol (ACP) client/server library for Elixir

A lightweight dependency-free workflow automation platform. Supports iPaaS, stream computing, MCP, and AI capabilities.
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...