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AI-редактор кода, часто используемый с developer MCP.
MCP Servers
Azure 💜 MCP
A Model Context Protocol (MCP) server providing access to the comprehensive OpenNutrition food database with 300,000+ food items, nutritional data, and barcode lookups.
MCP Bundler is a macOS SwiftUI app for managing and running Agent Skills and Model Context Protocol (MCP) servers, with a headless stdio mode for CLI and automation workflows.
Rust MCP Filesystem is a blazingly fast, asynchronous, and lightweight MCP (Model Context Protocol) server designed for efficient handling of various filesystem operations.
Cross-platform C SDK for Model Context Protocol (MCP), in modern🚀 C23.
Реализация MCP сервера (Model Context Protocol), который запускается внутри клиента 1С:Предприятие. Проект ориентирован на работу через внешнюю компоненту AddIn.WebTransport.
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Automated AI code reviews powered by Claude Code. Assign a reviewer on your merge request — Claude reviews the code, tracks progress in real time, and follows up when you push fixes.
Generate an MCP for any web app
💫 Tachyon MCP Runtime for Java and Kotlin - Model Context Protocol (MCP) server with Streamable HTTP, native Netty transports, tools, tasks, resources, prompts, completions, resumable sessions, and...
Give your AI agent eyes for PDFs — structured text, tables, OCR, visual evidence, and page-level citations via MCP. Native Rust, local-first.
JSReverser-MCP 是一个面向 JavaScript 逆向分析的 MCP 工具，专门用于帮助开发者在真实浏览器环境中高效定位前端核心逻辑。它 将脚本检索、断点调试、函数 Hook、网络请求追踪、调用链分析、混淆还原和风险评估整合为统一能力，可直接接入 Claude、 Codex、Cursor 等支持 MCP 的客户端。
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)