Cursor Install Guide
AI code editor frequently used with developer-focused MCP servers.
MCP Servers
基于Anduin2017 / HowToCook （程序员在家做饭指南）的mcp server
结合 Vue 3 前端 + FastAPI 后端 + LitServe GPU负载均衡
Vibe Check is a tool that provides mentor-like feedback to AI Agents, preventing tunnel-vision, over-engineering and reasoning lock-in for complex and long-horizon agent workflows.
Official SonarQube MCP Server for code quality and security in AI agents
HOL Guard brings antivirus-style runtime protection to AI agents. It evaluates supported agent actions and local artifacts for secret exposure, prompt injection, unsafe commands, malicious packages,...
Stata MCP Extension for VS Code, Cursor, and Antigravity IDE
微信读书MCP
An MCP for WireShark (tshark). Empower LLM's with realtime network traffic analysis capability
vs-punk: ADT to MCP bridge - Vibe code in ABAP / AMDP
📖 Docs · ⭐ Star us · memtrace.io · npm · Discord
A docker MCP Server (modelcontextprotocol)
Appium MCP on Steroids!
Agent Skills
FastCRUD is a Python package for FastAPI, offering robust async CRUD operations and flexible endpoint creation utilities.
Claude Code for Financial Market
Add expert Swift Concurrency guidance to your AI coding tool (Agent Skills open format): safe concurrency, performance optimization, and Swift 6 migration.
xiaohongshu-skills
A Go framework for building production agent systems with graph workflows, tools, memory, A2A, AG-UI, MCP, evaluation, and observability.
My profile & the agent skills I created
Agent skills for useful HTML artifacts, wireframes, interactive prototypes, plans, and diagrams.
Follow this guide to create an adapter and submit a PR with it.
CyberPPT 是一个 Codex Skill，用于把文档、研究材料和业务数据转化为高密度、可编辑、咨询风格的 PowerPoint 演示文稿。
A passive recording project allows you to have complete control over your data. Automatically take screenshots of all your screens, index them, and save them locally.
Hundreds of agent skills for medical research, including protocol design, data analysis, evidence insights, and academic writing.
ShinkaEvolve : Towards Open-Ended and Sample-Efficient Program Evolution 🧬