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개발자용 MCP 서버와 함께 자주 쓰이는 AI 코드 에디터.
MCP Servers
A collection of Model Context Protocol (MCP) servers for integrating with various IT service management and remote monitoring platforms.
RevitMCPSDK is a comprehensive software development kit for Autodesk Revit that implements the Model Context Protocol (MCP).
A GitHub CLI extension that seamlessly runs the github-mcp-server as a bundled binary using your existing gh authentication.
A collection of Power Platform custom connectors, MCP servers, and connector code samples for Microsoft Graph APIs, document collaboration, and enterprise services.
A practical implementation demonstrating ADK (Agent Development Kit) as an MCP (Model Context Protocol) client for flight search capabilities.
A Rails application template that integrates the Model Context Protocol (MCP) with Ruby on Rails. During setup, the template asks whether to add OAuth 2.
Aseprite MCP Pro — AI-powered pixel art creation for Aseprite via Model Context Protocol. 121 tools for sprites, drawing, animation, palettes, export, and Godot integration.
MCP is a Go implementation of the Model Context Protocol — a standardized way for applications to communicate with AI models.
基于滴答官方文档生成的日程待办增删改查MCP服务
Runtime intelligence system that makes MCP servers debuggable, testable, and safe to run in production.
WigAI is a Model Context Protocol (MCP) server implemented as a Bitwig Studio extension. It provides an interface for external AI assistants to control Bitwig Studio through simple text-based...
CLI for Notion using the Model Context Protocol (MCP)
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)