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

Simple MCP SDK in Java 8

An extension to MCP (Model-Context-Protocol) that enables two-way asynchronous communication between LLMs and tools through the already existing MCP transport - no additional transport layer needed.

把 Burp Suite 33 个插件(26 核心 + 7 Phase 3 高级工具)通过 MCP 协议桥接到 AI 客户端

Let AI agents do real WordPress work via MCP. 61 core abilities, 12 add-ons, 280+ ecosystem abilities for content, builders, SEO, security, files, and operations.

Create production-ready MCP servers in PHP with modern architecture, and flexible transport options.

is a powerful Terminal User Interface (TUI) for debugging, testing, and interacting with Model Context Protocol (MCP) servers.

A XGo implementation of the Model Context Protocol (MCP), enabling seamless integration between LLM applications and external data sources and tools.

MCPHub Desktop is Model Context Protocol (MCP) servers installer, manager, directory. It's a GUI. It support install node, uv dependencies with one click, and install/uninstall with one click.

A Server-Sent Events (SSE) implementation using FastAPI framework with Model Context Protocol (MCP) integration.

This server implements an MCP (Model Context Protocol) server with WebSocket enhancements for real-time data updates.

arifOS evaluates identity, evidence, authority, risk, and reversibility before an AI agent may execute a consequential action.

Paper | Features | Installation | Usage | CLI | Development
Agent Skills

https://github.com/user-attachments/assets/023c0a9c-194a-45a9-bb88-ac8f16f5ffd5

Screenshot testing is key to validate your app's appearance and functionality. It efficiently detects visual issues and tests the app as users would use it, making it easier to spot problems.

Built by DeepSeek, for DeepSeek. An AI coding agent that flows through your codebase like a tide. The name: DeepSeek + tide (terminal IDE).

山音超级编剧大师 - 全格式影视编剧 Skill 由 @山音 设计的自然语言驱动编剧 Agent Skill 覆盖 1-3 分钟概念超短片→90 分钟电影长片→多集剧集的全流程剧本创作,一站式搞定人物、大纲、场景、剧本全链路

for quasi-experimental designs in Python.