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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
is a powerful tool that automatically detects APIs in existing projects and transforms them into Model Context Protocol (MCP) servers.
This repository provides example implementations of MCP (Model Context Protocol) in Python and Typescript, based on the specification: 📄 MCP Streamable HTTP Spec.
A Model Context Protocol (MCP) server for interacting with the Hetzner Cloud API. This server allows language models to manage Hetzner Cloud resources through structured functions.
tRPC to MCP package
Aseprite MCP Pro — AI-powered pixel art creation for Aseprite via Model Context Protocol. 121 tools for sprites, drawing, animation, palettes, export, and Godot integration.
An MCP (Model Context Protocol) server that connects AI coding assistants to -- the industry-standard MBSE tool for SysML and UML modeling.
The OP.GG MCP Server is a Model Context Protocol implementation that provides AI agents with access to OP.GG game data for League of Legends, Teamfight Tactics, and Valorant.
A Model Context Protocol (MCP) server for Windows desktop automation using AutoIt.
This project demonstrates how to build a multi-agent system using Agent-to-Agent (A2A) communication with the Model Context Protocol (MCP).
A free 3D Printing MCP server that allows for getting live printer state, webcam snapshots, and printer control.
The Trend Vision One Model Context Protocol (MCP) Server enables natural language interaction between your favourite AI tooling and the Trend Vision One web APIs.
Clojure/ClojureScript library for making MCP server and client
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.