Cursor Руководство установки
AI-редактор кода, часто используемый с developer MCP.
MCP Servers
Autonomous DFIR agent — SANS SIFT Workstation MCP server for incident response
ensp通过mcp接口连接到trae实现ai对ensp设备的全自动化规划和配置
An MCP server implementation for configuring OpenTelemetry Collectors.
This MCP server provides read-only access to MySQL databases. It allows you to:
AI-Powered Civil 3D Modeling
is an experimental MCP server for summarizing GitHub discussions, issues, and pull requests. Answer questions like:
这是一个基于大语言模型和MCP（Model-Controller-Plugin）和Rag架构的网络安全智能助手项目。它旨在通过自然语言交互，帮助用户执行渗透测试任务、查询安全信息、分析流量包等。
This MCP server provides a tool to download entire websites using wget. It preserves the website structure and converts links to work locally.
将详细的结构化地址转换为经纬度坐标。支持对地标性名胜景区、建筑物名称解析为经纬度坐标
windbg-mcp-rs is a pure WinDbg extension DLL that exposes the current debugging session as an MCP server.
本地优先的微信数据工具：聊天记录查询导出、公众号日报与个人知识库（MCP 兼容）
Python implementation for building Users Management Agent with MCP tools and MCP server
Agent Skills
fly ai agent skill
License MIT · skills.sh Compatible Runtime
About • How It Works • Documentation • Quickstart • Skills • Templates
Visual skill manager for AI agents. Desktop app and TUI.
A Codex skill that turns a startup URL or product idea into a qualified shortlist of potential first customers using recent public pain, demand, and timing signals.
A high-performance Markdown parser and renderer for Angular, React, Svelte, Vue, HTML and ANSI.
The MATLAB Agentic Toolkit brings trusted MATLAB capabilities to AI agents, making engineering and scientific workflows agent-ready.
Large Language Models (LLMs) have rapidly evolved into powerful general-purpose reasoning and generation engines.
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。
agent skills for vibe motion
Codex Skill for producing authorized digital-human talking-head videos with MiniMax overseas voice cloning and HeyGen Image-to-Video.
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。