Cursor 설치 가이드
개발자용 MCP 서버와 함께 자주 쓰이는 AI 코드 에디터.
MCP Servers
The open-source control plane for Codex projects: visible progress, resumable context, safe handoffs, and reusable knowledge.
A Model Context Protocol (MCP) server for interacting with Minecraft via Mineflayer. This package enables AI agents to control Minecraft bots through a standardized JSON-RPC interface.
This repository provides example implementations of MCP (Model Context Protocol) in Python and Typescript, based on the specification: 📄 MCP Streamable HTTP Spec.
Multi-AI MCP Server - Connect ChatGPT, Claude, Gemini & Perplexity to your coding tools without any API
mcp tools for your favorite agent - be the best guide you can be
LLM Gateway to call 100+ LLM APIs in OpenAI format with MCP supported.
Model Context Protocol server enabling AI assistants and chatbots to access transit information through standardized interfaces.
A comprehensive collection of courses and tutorials for learning the - an open protocol that standardizes how AI applications connect to external tools and data sources.
A Model Context Protocol (MCP) server that allows you to create custom tools/functions at runtime in any programming language and expose them to Claude or other MCP clients.
Generation of Secure MCP (Model Context Protocol) Servers from API source code at Scale
A lightweight CLI tool to easily configure and initialize MCPs for Claude Code.
Simple MCP Manager Desktop Application
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)