Cursor Руководство установки
AI-редактор кода, часто используемый с developer MCP.
MCP Servers
An implementation of Model Context Protocol (MCP) server for Argo CD.
- Connect Claude Desktop, ChatGPT, and other AI assistants directly to your n8n instance for seamless workflow management, creation, and execution through the Model Context Protocol (MCP).
An MCP implementation for Selenium WebDriver
Lean Theorem Prover MCP
Search Airbnb using your AI Agent
Cross-device clipboard sync for macOS, Windows & Linux — end-to-end encrypted, LAN-only, no cloud. OCR, CLI and MCP server built in.
MCP server exposing SSH control for Linux servers via Model Context Protocol.
📖 Docs · ⭐ Star us · memtrace.io · npm · Discord
A docker MCP Server (modelcontextprotocol)
MCP server retrieving transcripts of YouTube videos
Official SonarQube MCP Server for code quality and security in AI agents
Things.app MCP Server
Agent Skills
The main branch is under active development for . The stable releases are maintained in the v0.x branch. The documentation for Rslib v1 is available at v1.rslib.rs.
本项目围绕吴恩达老师在 DeepLearning.AI 推出的 Agentic AI 系列课程，致力于为中文学习者提供高质量的课程内容翻译、系统化的知识梳理、关键概念解析以及配套示例代码的详细解读。项目不仅帮助学习者跨越语言障碍，更通过结构化整理与实践引导，深入理解“智能体”（Agent）在现代 AI 系统中的核心作用，掌握构建自主、协作、推理型 AI 应用的关键方法。
A high-performance Markdown parser and renderer for Angular, React, Svelte, Vue, HTML and ANSI.
Visual skill manager for AI agents. Desktop app and TUI.
License MIT · skills.sh Compatible Runtime
fly ai agent skill
This repository provides technical guidance for users and developers using Amazon EC2 instances powered by AWS Graviton processors (including the latest generation Graviton5 processors).
橙皮书 (Orange Book) Series · by HuaShu (花叔)
vet supports special mode for Agent Skills. Run vet scan --agent-skill to scan an Agent Skill hosted in a GitHub repository.
EvoSkill: Automated Skill Discovery for Coding Agents
![NPM version][npm-url] ![Downloads][downloads-url] ![License][license-url] ![twitter][twitter] ![Discord Chat][discord-invite]
Screenshot testing is key to validate your app's appearance and functionality. It efficiently detects visual issues and tests the app as users would use it, making it easier to spot problems.