Claude Desktop 설치 가이드
로컬 MCP 설정을 지원하는 데스크톱 클라이언트.
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
Personal memory across agents
Coding agents hallucinate APIs and forget what they learn in a session. Context Hub gives them curated, versioned docs, plus the ability to get smarter with every task.
Agent Skill for generating AGENTS.md files following the agents.md convention | Claude Code compatible
AI agents should not give project advice from vibes.
provide for AI agents, helping them build complete automated document workflows. Before large-model reasoning begins, ComPDF Skills can handle document parsing, OCR, data extraction, and structured...
🚀 Generate Python data models from schema definitions in seconds.
Agent-native way to access any website. Bridging agent CLI and web GUI through API.
The real-time engine for AI agents on the JVM. Tokens flow from the LLM runtime to the client through a broadcaster you can filter, gate, and observe — over WebSocket, SSE, long-polling, or gRPC, and...
A curated list of high-signal resources for (formerly , originally ): frameworks, skills, tooling, deployments, and real-world use cases.
Comprehensive best practices for building applications with the TanStack ecosystem. These skills provide AI coding agents with structured guidelines for TanStack Query, TanStack Router, and TanStack...
A multi-agent ML pipeline that turns a client's spreadsheet into a trained model and a one-page decision-support report — all inside hardened NemoClaw sandboxes.
High-value AI skills repository for Codex, Claude Code, OpenClaw, agents, prompts, and automation workflows. 高价值的 AI 技能库，涵盖 Codex、Claude Code、OpenClaw、代理、提示和自动化工作流程。