Cursor インストールガイド
開発者向け MCP サーバーとよく使われる AI コードエディタ。
MCP Servers
An MCP (Model Context Protocol) server that provides access to Overleaf projects via Git integration.
MCP Server implementation for Ableton Live OSC control
: This server only works on Windows operating systems due to its dependency on Windows-specific COM interfaces.
For MCP users, lets LLM clients such as Cursor and Claude Code design Cisco-style networks directly through Model Context Protocol tool calls.
A powerful multi-database server implementing the Model Context Protocol (MCP) to provide AI assistants with structured access to databases.
curl https://cryptocurrency.cv/api/news • LLM Docs • Full API Docs • OpenAPI
chatExcel - 基于模型上下文协议（MCP）的Excel智能处理与数据分析服务器，专为Excel文件智能解析、数据处理、代码执行以及交互式图表生成而设计。支持复杂Excel格式处理、智能参数推荐、代码模板生成和高级数据可视化。
Apache Doris MCP Server
Job search, resume tailoring, cover letters & application tracking — available via the Model Context Protocol for Claude Code, Claude Desktop, Cursor, Windsurf, and other MCP clients.
ChatMCP is an AI chat client implementing the Model Context Protocol (MCP).
Semantic Code Retrieval for AI Agents — Hybrid Search • Graph Expansion • Token-Aware Packing
MCP Server for code graph analysis and visualization by CodeGPT
Agent Skills
One command. 25 agent skills. Zero to profitable business.
AI video generation skills for Claude Code, Cursor, and OpenClaw. Auto model selection across 10+ models. Text, images, URLs, scripts, or audio in — finished video out.
JSON spec -> .excalidraw + .png + animated .gif
Open-source, local-first video editor where creators and AI agents edit the same real timeline.
“论文不是把字堆满，而是把项目事实、样文规范、图表截图和 Word 交付一次性闭环。”
A collection of Agent skills and Claude Code plugins for HashiCorp products.
A Next-Gen AI Agent Platform & Desktop Control Plane 中文文档 | Features | Getting Started | Architecture
即梦 是字节跳动的多模态 AI 视频生成模型，支持图片 / 视频 / 音频混合输入，可生成 4–15 秒的高质量视频。
帮你在 AI 时代找到**的兼职/副业。核心不是"列一堆项目"，而是四件别人不做的事：
这里不是一叠孤立的提示词。每个 Skill 都用 SKILL.md 固化触发条件、工作阶段、确认门槛和交付物，让 Codex、Claude Code 等 Agent 在产品、开发、研究、写作和日常效率任务中按同一套方法工作。
Generate and evaluate agent skills based on traces with agents. Create skills with teacher models (expensive/slow) that student models (cheap/fast) can use to perform harder tasks reliably.
The central challenge in AI development isn't a lack of ideas, but the inconsistent process of turning them into robust, reliable skills.