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
The memory substrate for AI agents and developer tools. Git-versioned, file-native, MCP-first.
MCP-server that provides LLMs with easy access to open data from the Swedish Government Offices and Parliament.
Vendor-neutral MCP configuration manager with first-class Claude Code support.
— Let your AI agent directly control your Gaggimate
The #1 Obsidian MCP for AI memory — freshness-aware, cited, local-first and read-only by default. Dataview, Bases, PDFs, every agent.
MCP server that runs shell commands. Your LLM gets a tool; you get control over what runs and how.
Query and manage your personal finances with AI using local Copilot Money data
A companion repository to my video about MCP server for the robot: - for LLM-based AI agents (Claude Desktop, Cursor, Windsurf, etc.
Figma MCP build with Rust, server with full read/write access via plugin (no REST API, no rate limits, 73 tools)
is a feature-complete MCP server for Huly integration. Published on npm as @firfi/huly-mcp.
Generate realistic teacher documents (ID cards, licenses, letters) for 13 countries via MCP.
Sub-millisecond, local-first, open source — the "open source Aspose."
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...