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

A static MCP server that provides AI models with persistent tool context, preventing context loss between chats.

Turn any MCP Client into a "multi-agent" system (via prompting)

AutoHotkey v2 MCP Server with prompts, code completion, and diagnostics

MCP Server for Chronulus Chat with Chronulus AI Forecasting & Prediction Agents in Claude

@cyanheads/mcp-ts-core Agent-native TypeScript framework for building MCP servers. Build tools, not infrastructure.

One MCP to orchestrate them all - 98% token savings, unlimited tool access.

A Kubernetes MCP (Model Control Protocol) server that enables interaction with Kubernetes clusters through MCP tools.

An MCP server that lets LLM agents play full games of Civilization VI.

- ✅ vs their 5-6 basic ones - ✅ (they don't have this) - ✅ (they don't have this) - ✅ (no proxy limitations) - ✅ (vs $497/month) - ✅ (add your own features)

Give your AI the best tools from all your MCPs 🎯

An MCP server for connecting agentic systems to search systems via searXNG.

Formula workbooks for Node services: edit inputs, recalculate formulas, read outputs, persist WorkPaper JSON, and expose MCP tools.
Agent Skills

A collaborative list of awesome Helm resources.

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

The MATLAB Agentic Toolkit brings trusted MATLAB capabilities to AI agents, making engineering and scientific workflows agent-ready.

About • How It Works • Documentation • Quickstart • Skills • Templates

Large Language Models (LLMs) have rapidly evolved into powerful general-purpose reasoning and generation engines.

AI agent skills for startup validation, competitive intelligence, and planning

AI-powered design review for KiCad. Analyzes schematics, PCB layouts, and Gerbers. Catches real bugs before you order boards.

zvm (Zig Version Manager) lets you easily install/upgrade between different versions of Zig.

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。

The autonomous research agent that beats Claude Code and Codex by 2.5× on the same compute budget

Codex Skill for producing authorized digital-human talking-head videos with MiniMax overseas voice cloning and HeyGen Image-to-Video.

基于 Vant 设计语言,为小程序与 H5 提供一致、类型安全且高度可定制的开发体验。