Claude Desktop 설치 가이드
로컬 MCP 설정을 지원하는 데스크톱 클라이언트.
MCP Servers
Mapbox Model Context Protocol (MCP) server
A Model Context Protocol (MCP) server for interacting with Twitter.
A that enables AI assistants like Claude, Cursor, and Windsurf to build, test, and debug Tauri® v2 applications.
An extended version by ersatzben and BenCello can be found at: https://github.com/ersatzben/maxmsp-mcp
Vulnerable MCP Servers Lab ==========================
Gearsystem is a very accurate, cross-platform Sega Master System / Game Gear / SG-1000 emulator written in C++ that runs on Windows, macOS, Linux, BSD and RetroArch, with an embedded MCP server for...
Lightweight C++ MCP (Model Context Protocol) SDK
ClaudeR - The Modern Researcher's Toolkit Connect RStudio to Claude Code, Codex, Gemini CLI, or any MCP-based LLM agent for interactive coding, multi-agent orchestration, and automated manuscript...
MCP Server & Config Manager for 14 AI Clients
Designing Enterprise MCP Systems Build, orchestrate, and scale intelligent workflows with the Model Context Protocol Open-source project by Decoding AI
is a Protocol Buffers compiler plugin that generates Model Context Protocol (MCP) servers for your gRPC or ConnectRPC APIs.
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Agent Skills
The Best AI Agent Framework for Agent Collaboration.
The open sharing protocol for the agentic era. A Linux Foundation AI & Data Project
Agent Skills
- : Turn your idea into a video using your coding agent. - : Edit and animate using drag and drop. - : Connect to data, and manage complexity with code.
Reverse-engineer any design system into a Claude-ready skill. Pure static analysis. No AI. No API keys.
Craft AI-driven interface effortlessly🤖
Official Pulumi Agent Skills for writing, migrating, and operating infrastructure with AI coding agents
- [2026/05/01] 🔥 (📃Paper) has been released.
A Claude Code of the skills we share at AI Builder Club for building : agents that get triggered on their own, pick up work, ship it, verify it, and log what they learned, so the work compounds...
"To achieve great things, two things are needed: a plan and not quite enough time." - attributed to Leonard Bernstein
Commonplace studies how agentic systems can change after deployment through inspectable knowledge artifacts.
LiteRT-LM is Google's production-ready, high-performance, open-source inference framework for deploying Large Language Models on edge devices.