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

Open-source NURBS surface modeller — a Rhino-style freeform modeller on the OpenCASCADE kernel, with AI-native MCP integration

The local-first knowledge layer for AI development.

🔥 MCP Mastery: Build AI Apps with Claude, LangChain and Ollama

开源金融数据 MCP / HTTP 服务,面向 AI Agent、量化脚本和普通后端集成。

No Microsoft Graph API, no Entra app registration, no OAuth tokens — just your local Outlook and the authentication you already have.

A Docx document processing service based on the FastMCP library, supporting the creation, editing, and management of Word documents using AI assistants in Cursor.

MCP server to extract contents from a PDF file

让 ChatGPT 通过 MCP 调用本机原生 Codex 会话的轻量 Windows 桥接器。

](https://github.com/rust-mcp-stack/rust-mcp-sdk/actions/workflows/ci.yml) ](examples/hello-world-mcp-server-stdio)

Local-first persistent memory for Claude Code & Codex CLI - Rust CLI, hooks, MCP server, SQLite/SQLCipher, auditable recall for long-running coding work.

Local semantic code index and MCP server for Claude Code, Codex, and opencode. Includes semantic search, reuse checks, impact analysis, and a VS Code chat and agent supporting local CLIs and API...

Local macOS control server for MCP clients and Custom GPT Actions
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.