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
MCP Server with ArcGIS Pro Add-In
一个基于 MCP (Model Context Protocol) 的 Java 反编译工具，使用 CFR 反编译器对 .class 和 .jar 文件进行反编译。
This Model Context Protocol (MCP) server provides a secure and reliable interface for AI agents to interact with the local filesystem.
A Model Context Protocol (MCP) server implementation for the Gmail API, providing a standardized interface for email management, sending, and retrieval.
A Model Context Protocol (MCP) server for searching and retrieving Solodit vulnerability reports.
MCP server connecting AI agents to ITASCA FLAC — run continuum simulations through natural conversation
This is a Model Context Protocol (MCP) server that provides tools for interacting with Proxmox VE infrastructure.
本项目是一个 Android 逆向工程工具集合，通过 MCP (Model Context Protocol) 协议将 AI 助手（如 Claude）与专业的 Android 反编译工具连接起来，实现智能化的 APK 分析与修改。
Enhanced MCP code execution. Agent framework-agnostic (optimized for Claude Code). Skills framework (99.6% token reduction), multi-transport, sandboxing
A Model Context Protocol (MCP) server implementation that integrates Nuclei, a fast and customizable vulnerability scanner, with the MCP ecosystem.
Cross-platform command line interface for OneDrive (Personal)
Unsupervised use or misuse may lead to unintended consequences. All AI systems must remain strictly under human oversight and control. Use responsibly, with full awareness and at your own risk.
Agent Skills
This repository provides technical guidance for users and developers using Amazon EC2 instances powered by AWS Graviton processors (including the latest generation Graviton5 processors).
A curated list of delightful NoCode / LowCode applications and resources. For more awesomeness, check out awesome.
ThingLinks is an enterprise-grade built on Spring Cloud microservices architecture. It delivers device connectivity, supporting on a single node with plugin-based extensibility and multi-protocol...
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。
橙皮书 (Orange Book) Series · by HuaShu (花叔)