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
Documentation • Prompt Decorators Specification
mcpr is an R implementation of the Model Context Protocol (MCP), enabling R applications to expose capabilities (tools, resources, and prompts) to AI models through a standard JSON-RPC 2.0 interface.
An MCP server that provides safe, read-only access to SQLite databases through Model Context Protocol (MCP).
A Ruby Implementation of the Model Context Protocol
The official Figma MCP server has only read-only tools. You can use AI Agent in Figma Make. But, it is not convenient to chat in Figma Make and then move result to Figma to continue.
🪐 🔧 Model Context Protocol (MCP) Server for Jupyter.
A Model Context Protocol server for building Xcode projects directly from LLM applications
MCP integration for Google Calendar to manage events.
A Symfony package designed for building secure servers based on the Model Context Protocol, utilizing Server-Sent Events (SSE) and/or StreamableHTTP for real-time communication.
Google Search Console Insights with Claude AI for SEOs
Bitbucket MCP - A Model Context Protocol (MCP) server for integrating with Bitbucket Cloud and Server APIs
MCP is an open protocol that enables AI models to securely interact with local and remote resources through standardized server implementations.
Agent Skills
本仓库是基于 WorkBuddy / Claude Code / Cursor 等 AI Agent 的**。每个 Skill 是一个自包含文件夹，包含 SKILL.md（Agent 执行指令）、README.md（人类文档）、references/（Prompt 参考）和 assets/（模板 HTML）。
这是 codex-windows-fast-patch skill 的公开版本，用于让支持 Agent Skills 的智能体修复 Windows 版 Codex Desktop 更新后常见的功能失效问题。
🌳 A type-safe HTML template engine for Python. Build dynamic web pages using Python components with a React-like approach.
A collection of AI agent skills useful for projects using the Kotlin language. Skills are following the Agent Skills standard, see agentskills.io for more information.
PPT Agent 基于软件工程理念的演示文稿全自动生成框架 English | 中文
a desktop app for getting work done with any model
Building a domain-specific enterprise agent from scratch is complex and requires significant effort: agent and tool orchestration, planning logic, safety and alignment policies, evaluation for...
— This project is in early development. APIs and skill content may change.
The trust layer for agent-to-agent commerce — natural-language mandates, ERC-7710 delegated permissions, x402 payments, escrow, and dispute resolution as one open, catch-all Agent Skill / Claude Code...
Add both Manim skills to your AI agent instantly:
Write a SKILL.md, drop in some evals, and find out — empirically — whether your skill actually makes the model better at the task.
“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。”