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開発者向け MCP サーバーとよく使われる AI コードエディタ。
MCP Servers

Buoy is a floating dev menu that ships inside your React Native app — every request, state change, render, and frame, live on the phone, on your desktop, and in Claude or Cursor.

Agentic Capabilities and Package Manager

Diagram generation for understanding codebases and system architecture using Nano Banana Pro.

Casbin AI & MCP security gateway for HTTP, online demo: https://door.caswaf.com

NEW · Agent in the loop — Using AI to assess the risk of one-off operations. Read more → One Gateway Between Your Team and Your Infrastructure. hoop.

adb-mcp is a proof of concept project to enabled AI control of Adobe tools (Adobe Photoshop and Adobe Premiere) by providing an interface to LLMs via the MCP protocol.

Docs Quickstart // Join us on Slack

You describe your goal → AI inspects your Home Assistant → designs a custom solution → and deploys it on-board automatically. 🚀

An opinionated AI-native workflow for evolving modern Java Enterprise SDLC practices through reusable Skills, Agents, Commands & MCP servers.

用自然语言和一位威科夫大师对话。系统把 A 股日线行情、威科夫结构识别、AI 研报、持仓风控、形态复盘和通知推送串成一条自动化链路,并已扩展支持港股与美股漏斗扫描。

Zero config. Zero dependencies. Under 10 seconds.

Open-source adversary emulation for AI agents, LLM apps, and MCP servers. Test your AI like a real attacker would — from your CLI, your IDE, or a browser extension that anyone on your team can use.
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)