Cursor インストールガイド
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

This README only covers basic development guide. For full documentation and tutorials on ACI.dev MCP servers please visit aci.dev docs.

3D & AR SDK for Android (Jetpack Compose + Filament), iOS (SwiftUI + RealityKit), and Web. AI-first: llms.txt, MCP server, Copilot/Cursor rules. The only Compose-native 3D library.

Looking for the Python version? Check out Saiku.py.

The GemCP app is a cross-platform desktop application that creates a seamless chat interface for Google's Gemini AI models with extensible capabilities through a Model Context Protocol (MCP)...

A Python-Based MCP Server for Hopper Disassembler

CLI tool to scaffold ERC-8004 compliant AI agents with A2A, MCP, and x402 payment support.

🚀MCP server for accessing RedNote(XiaoHongShu, xhs).

mcp4k is a compiler-driven framework for building both clients and servers using the Model Context Protocol (MCP) in Kotlin.

📈 - get comprehensive stock market data, news, financials, and more.

Query and Summarize your chat messages.

Lighthouse for MCP — score any MCP server 0–100.

A lightweight MCP server that encapsulates the Exa Pool API as a toolkit for AI assistants to call.
Agent Skills
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fly ai agent skill

About • How It Works • Documentation • Quickstart • Skills • Templates

A collaborative list of awesome Helm resources.

欢迎来到阿里云大模型ACP高级工程师认证课程,这是阿里云大模型认证的进阶篇。在开始课程之前,先来了解阿里云大模型认证的体系架构,方便你选择适合自己定位的课程。 阿里云大模型认证体系架构:

山音超级编剧大师 - 全格式影视编剧 Skill 由 @山音 设计的自然语言驱动编剧 Agent Skill 覆盖 1-3 分钟概念超短片→90 分钟电影长片→多集剧集的全流程剧本创作,一站式搞定人物、大纲、场景、剧本全链路

A curated list of delightful NoCode / LowCode applications and resources. For more awesomeness, check out awesome.

- 傻瓜操作模式(把txt文件拖到kaf-cli.exe上面自动转换) - 自定义封面 - 支持生成Orly风格的书籍封面 - 自动识别书名和章节(示例中所有用法都会自动识别) - 自动识别字符编码(自动解决中文乱码) - 自定义章节标题识别规则 - 自定义卷的标题识别规则 - 自动给章节正文生成加粗居中的标题 - 卷名使用精美的双线边框样式 - 章节序号和标题分离显示(可选) - 自定义...

zvm (Zig Version Manager) lets you easily install/upgrade between different versions of Zig.

基于 Vant 设计语言,为小程序与 H5 提供一致、类型安全且高度可定制的开发体验。

Large Language Models (LLMs) have rapidly evolved into powerful general-purpose reasoning and generation engines.

EvoSkill: Automated Skill Discovery for Coding Agents