Claude Desktop 설치 가이드
로컬 MCP 설정을 지원하는 데스크톱 클라이언트.
MCP Servers
Think MCP is an implementation of an MCP (Model Context Protocol) server that provides a "think" tool for structured reasoning in agentic AI workflows.
BloodHound MCP (Model Context Protocol) is an innovative extension of the BloodHound tool, designed to enable Large Language Models (LLMs) to interact with and analyze Active Directory (AD) and Azure...
Convert any MCP server into a Claude Skill with 90% context savings.
This is a Model Context Protocol (MCP) server that provides tools for interacting with Proxmox VE infrastructure.
connects AI agents to ITASCA's numerical modeling software — PFC, FLAC, 3DEC, MPoint, and MassFlow — through the Model Context Protocol.
A headless Ghidra server that speaks MCP (Model Context Protocol), giving AI agents full access to deep reverse-engineering workflows: program lifecycle, disassembly, decompilation, patching, types,...
The Gemini CLI confirmed that the MCP server built with Google Apps Script (GAS), a low-code platform, offers immense possibilities.
Thanks to @BigUncle for the pull request
Cross-platform command line interface for OneDrive (Personal)
A Model Context Protocol (MCP) server that provides access to the Oura API. It allows language models to query sleep, readiness, and resilience data from Oura API.
MCPC is the SDK for building agentic MCP (Model Context Protocol) Servers. You can use it to:
An MCP (Model Context Protocol) server that enables interaction with Google Play Console to deploy and manage Android applications.
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.