Claude Desktop 설치 가이드
로컬 MCP 설정을 지원하는 데스크톱 클라이언트.
MCP Servers

Package bug screenshots into AI-ready fix instructions with MCP Server

Cities Skylines 2 MCP

Wot UI 的 AI 能力工具集:Skills、MCP 协议与 CLI 工具等

Lightweight MCP server for Ghidra-based reverse engineering with iOS, Linux, and game file support

MCP server with 55 security intelligence tools — CVE/KEV, MITRE ATLAS+D3FEND, Sigma detection rules, email security posture (SPF/DMARC), domain & web intel, threat intel.

Solidity static analyzer you can talk to. MCP integration for Claude Code, Cursor, and Windsurf.

Minimal MCP server for calling any KIE.ai endpoint. Pure HTTP shim — no model registry; agent constructs payloads from docs.kie.ai.

Burp MCP proxy with compression pipeline — reduces 182KB responses to ~4KB

The universal MCP server for Claude Code and other MCP-compatible clients. One installation gives AI access to 10,000+ PowerShell modules and any CLI tool.

Infinite text-free AI image generator + SQLite-indexed multilingual vault & gallery — with a local MCP your AI can drive.

Local-first multi-runtime AI cockpit (CLI + desktop + MCP). War-rooms, review receipts, open multi-model coding benchmarks. MIT.

CLI and MCP server for discovering and calling Google APIs from agents and scripts.
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.