Cursor 安装指南
常与开发类 MCP Server 搭配使用的 AI 代码编辑器。
MCP Servers
⚠️ ：此项目完全是 vibe coding 产物，代码由 AI 生成，未经严格审查。使用风险自己承担。
Yet Another Frida MCP Server - Full-featured MCP server for Frida dynamic instrumentation
Headless Blender automation via FastMCP — 41 portmanteau tools (150+ ops). Batch mesh/VSE/Grease Pencil, VRM, Gaussian splats; optional live bridge. For Cursor / Claude Desktop.
MD2Card Markdown 转知识卡片 将 Markdown 文档转换为精美的知识卡片，支持多种风格
Give Claude on the (claude.ai) and read/edit access to files and a whitelisted shell on your local machine, over HTTPS via Tailscale Funnel, gated by OAuth 2.1. No desktop app, no device install.
本项目面向** —— 如果你的 AI 伴侣住在 rikkahub 之类的 MCP 客户端里，本服务可以让 TA 真的"触碰"到你：通过 MCP 协议一句话控制你手里的 智能玩具。
密探渗透测试工具包含资产信息收集，子域名爆破，搜索语法，资产测绘（聚合测绘，FO FA，Hunter，Quake,Zoomeye,DayDayMap,censys,shodan, 零零信安），指纹识别，敏感信息采集，文件扫描、端口扫描、弱口令破解、jwt密钥爆破、Sessionkey,heapdump, 微信小程序，密码本，随机用户，社工字典,AI渗透（MCP、代码审计）等功能
Please see the updated mcpb format Claude Desktop Extension
Local academic paper tool MCP server — , multi-source download, AI-powered analysis, citation graph, code-based paper recommendation.
Keep Claude Code context clean. Open-source toolkit: drift detection, re-read dedup, integrity scoring, AST-aware reads, 15 MCP tools. 62.6% measured savings, reproducible.
Bring your AI to life—talk to assistants instantly in your browser. Compatible with Claude Desktop, OpenCode, and other MCP-enabled AI tools.
Transparent MCP proxy that reduces the token cost of large upstream tool responses for nearly every other MCP server imaginable.
Agent Skills
A Claude Code skill providing the latest OWASP security best practices (2025-2026) for developers building secure applications.
**是一个 AI Skill——不是魔法棒，不是"一键生成好莱坞剧本"的营销噱头。它是一个经过精密设计的**，把成熟故事一步一步转化为标准影视剧本、分镜方案和数字资产清单。
compile lua2c (single binary with embedded scripts)
An easy-to-use web framework. Based on baize and pydantic.
· Next-Gen Transparent Agent Architecture
주요정보통신기반시설(CII) 취약점 분석평가, AI 보안 평가, 로봇 보안 점검, 우주 보안 점검, 시큐어코딩 가이드, 제로트러스트 보안 평가, SW 공급망 보안(SBOM)을 위한 Claude Code 스킬 플러그인입니다.
Local-first AI agent framework built for small models, with optional hybrid cloud support.
AI defaults to the mean. Models are trained on millions of average websites. If you don't constrain them, they will build an average website.
A skill that turns any goal into one short, paste-ready prompt. That prompt makes your agent pick a real quality bar, split the work into small pieces, run a builder and a separate harsh critic on...
This project is currently in the testing stage. Star it, try it, and feel very welcome to share suggestions and feedback.
这是一个用 Python 从零构建 AI Agent 的教学项目。项目核心是 build-agent-example/：从一次模型调用开始，后续每一步都保留前一步的全部代码和能力，逐步加入循环、history、system prompt、工具、skills、memory、规划、子代理、团队协作、MCP 和 hooks。
给 Gemini CLI、Claude Code、Codex 等 AI 编程助手使用的 HarmonyOS NEXT 离线参考技能库。