Cursor Руководство установки
AI-редактор кода, часто используемый с developer MCP.
MCP Servers

Expose your Rails app as an AI accessible interface — define tools and resources the Rails way.

The Commerce Operations Foundation MCP Server implements the Order Network eXchange Standard (onX), providing a standardized interface between AI agents and fulfillment systems through the Model...

An MCP (Model Context Protocol) server that provides access to Atomic Red Team tests.

This is a WIP library implementing the Model Context Protocol.

The agent-native skills directory for — write Pine Script, backtest crypto strategies, optimize parameters, and run a full quant research desk from one conversation.

Model Context Protocol (MCP) and Agent Client Protocol (ACP) client/server library for Elixir

A Model Context Protocol (MCP) implementation that enables seamless integration between Claude AI and desktop applications through Cursor IDE.

Browser automation MCP server for Claude, powered by Puppeteer.

A simple template for creating custom tools for Cursor IDE using Model Context Protocol (MCP). Create your own repository from this template, modify the tools, and connect them to your Cursor IDE.

A lightweight dependency-free workflow automation platform. Supports iPaaS, stream computing, MCP, and AI capabilities.

Production-grade MCP server for MikroTik RouterOS with secure AI-native network automation.

This project implements a Model Context Protocol (MCP) server that exposes Google's Veo2 video generation capabilities.
Agent Skills

This project is under active development and evolving rapidly. Contributions, feedback, and discussions are warmly welcome.

Agent skill that audits vibe-coded apps for common security vulnerabilities introduced by AI coding assistants

A high-performance Markdown parser and renderer for Angular, React, Svelte, Vue, HTML and ANSI.

A collection of Codex/agent skills for planning, documentation access, frontend development, and browser automation.

简单说,就是跟 Claude 说一句话,它会帮我从每天的新论文里筛一轮,挑出值得看的,再把重点论文读完、写成 Obsidian 笔记。日常不用记一堆命令,基本就是: