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개발자용 MCP 서버와 함께 자주 쓰이는 AI 코드 에디터.
MCP Servers
An MCP (Model Context Protocol) server for AI voice synthesis with an inline audio player. Give your AI assistant a custom cloned voice!
AutoTeam is a platform-agnostic orchestration system that connects AI agents with any service through MCP servers.
This project is a Model Context Protocol (MCP) server for KiCad. As MCP server that utilizes KiCad's official IPC-API, it provides the most stable and reliable way for AI models like Claude to...
A central registry and HTTP interface for coordinating Model Context Protocol (MCP) servers.
Give your AI the map before it starts exploring.
。在一个桌面应用中同时管理多个 AI 会话，提供结构化对话视图、看板式任务管理、实时状态监控、Agent 编排、工作流自动化和远程控制。
Turbular is an open-source Model Context Protocol (MCP) server that enables seamless database connectivity for Language Models (LLMs).
Welcome to the Essential MCP workspace! This is where Hue and Aye collaborate to create amazing MCP implementations.
MCP is an in-image Model Context Protocol server for Pharo. It lets MCP clients inspect and change the running image through Pharo-aware tools for packages, classes, methods, tests, repositories,...
Community version of MaxMCP-Dev-main
Create production-ready MCP servers in PHP with modern architecture, and flexible transport options.
This repository contains a basic example of how to build an AI agent using the Model Context Protocol (MCP) with an open LLM (Meta Llama 3), OpenAI or Google Gemini, and a SQLite database.
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)