Cursor 설치 가이드
개발자용 MCP 서버와 함께 자주 쓰이는 AI 코드 에디터.
MCP Servers
The Axiom MCP Server connects AI assistants to your Axiom observability data using the Model Context Protocol (MCP). This repository contains:
A Model Context Protocol server that provides MySQL database operations. This server enables AI models to interact with MySQL databases through a standardized interface.
Supercharge your security tools with AI! This is your ultimate guide to MCP-powered security tools that transform how you hack, defend, and analyze threats.
Production-grade MCP server and AI tools for the Godot engine. A Snap to install. Totally free and fun.
The Axiom MCP Server connects AI assistants to your Axiom observability data using the Model Context Protocol (MCP). This repository contains:
A Model Context Protocol server that provides search capabilities using a CSE (custom search engine).
🪐 🔧 Model Context Protocol (MCP) Server for Jupyter.
A Symfony package designed for building secure servers based on the Model Context Protocol, utilizing Server-Sent Events (SSE) and/or StreamableHTTP for real-time communication.
A Model Context Protocol server for building Xcode projects directly from LLM applications
Open-source AI agent harness in native Rust — GUI, CLI, headless, and webapp from one binary. Multi-provider, MCP, skills, plugins, agent teams.
A Model Context Protocol (MCP) server that enables AI assistants to interact with Vikunja task management instances.
MCP Toolbox for Databases is an open source MCP server for databases.
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)