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
A Model Context Protocol (MCP) server for interacting with the Scryfall API. It provides tools to look up Magic: The Gathering card details, card rulings, and price information.
This project provides a dedicated MCP (Model Context Protocol) server that wraps the @google/genai SDK (v0.10.0).
A Model Context Protocol (MCP) server for Google Photos integration, enabling Claude, Gemini, and other AI assistants to photos from your Google Photos library.
The Membrane MCP Server is a Model Context Protocol (MCP) server, it provides actions for connected integrations on Membrane as tools.
⚠️ : This project is in active development and subject to rapid changes. Features and APIs may be modified frequently.
A powerful MCP server that provides intelligent summarization capabilities through a clean, extensible architecture.
A Model Context Protocol (MCP) server that gives AI assistants full access to your BookStack documentation — search, read, create, and manage content.
— сервер на стороне 1С:Предприятие, предоставляющий для взаимодействия AI-ассистентов с базой данных 1С.
An MCP (Model Context Protocol) server that connects your Mendeley reference library to LLM applications like Claude Desktop, Cursor, and other MCP-compatible clients.
A Model Context Protocol (MCP) server for FalkorDB, allowing AI models to query and interact with graph databases.
A MCP server for automated website deployment to 1Panel (Experimental)
tela is a self-hostable, markdown-native team wiki built for a world where agents are first-class authors and readers.
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)