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

Fleet memory for AI agents — governed, shared, self-improving.

MCP Server implementation for Ableton Live OSC control

A powerful multi-database server implementing the Model Context Protocol (MCP) to provide AI assistants with structured access to databases.

A Model Context Protocol (MCP) server that connects OmniFocus to Claude and other MCP-compatible AI assistants.

Apache Doris MCP Server

For MCP users, lets LLM clients such as Cursor and Claude Code design Cisco-style networks directly through Model Context Protocol tool calls.

MCP Server for code graph analysis and visualization by CodeGPT

The Official MCP package for Dokploy

allows you to control from using the . It consists of:

Model Context Protocol (MCP) server for connecting Claude and ChatGPT with the Intervals.icu API.

Neo4j official MCP Server

A Model Context Protocol (MCP) server for Microsoft SQL Server that enables secure database interactions through a controlled interface.
Agent Skills

Beautiful UI components built for Better Auth.

Shiny for Python is the best way to build fast, beautiful web applications in Python. You can build quickly with Shiny and create simple interactive visualizations and prototype applications in an...

⚡ PowerGrid generates modern, powerful and easy-to-customize data tables using Laravel Livewire.
One Python API: store media, run models, index embeddings, serve endpoints, and version everything in a single system instead of gluing together blob storage, a vector DB, an orchestrator, and edge...

Adala is an **utonomous **ta (**abeling) **gent framework.

Ti*k*Z is a wonderful awesome graph drawing package for TeX/LaTeX/ConTeXt. Unlike other TeX packages, TikZ itself is really huge, its manual contains about 1100+ pages, 100+ chapters.

Continuous code review for AI coding agents. roborev runs in the background, reviews every commit as agents write code, and surfaces issues in seconds -- before they compound.

The main repository for libraries used to build applications on the Atsign Platform. Three categories: SDKs, libraries, and Flutter widgets.

本项目是基于吴恩达老师在 DeepLearning.AI 平台推出的 agent-skills-with-anthropic 系列课程的中文学习资料整理项目。我们致力于为中文学习者提供高质量的课程内容翻译、系统的知识点梳理以及详细的示例代码解读,帮助大家更轻松地掌握 Agent Skills。

SkillsBench evaluates how well skills work and how effective agents are at using them.

Your AI skills and agents, finally organized.

KAI Scheduler is a robust, efficient, and scalable Kubernetes scheduler that optimizes GPU resource allocation for AI and machine learning workloads.