Claude Desktop 설치 가이드
로컬 MCP 설정을 지원하는 데스크톱 클라이언트.
MCP Servers
The Commerce Operations Foundation MCP Server implements the Order Network eXchange Standard (onX), providing a standardized interface between AI agents and fulfillment systems through the Model...
is a Ruby gem focused on providing Model Context Protocol (MCP) capability to Ruby on Rails applications, specifically as a server.
Jamf's open source mcp for Jamf Pro, Jamf Protect and Jamf Security
A technical report is available as follows:
This is the repository for the LinkedIn Learning course Model Context Protocol (MCP): Hands-On with Agentic AI. The full course is available from LinkedIn Learning.
Connect Claude and ChatGPT to KDAN PDF — upload, edit, compress, protect, redact, and compare PDFs in chat.
Official Supadata MCP Server - Adds powerful video & web scraping to Cursor, Claude and any other LLM clients.
Give AI hands to touch silicon — an MCP server for SEGGER J-Link, OpenOCD and Black Magic probes. Flash, halt, step, stream RTT logs and decode ARM Cortex-M faults. Verified against real hardware.
MCP Server for Huawei Health Kit — Connect your Huawei Watch health data to AI agents via Model Context Protocol
Civic AI Tools connects AI assistants (GitHub Copilot, Cursor, Claude Code) to public datasets using the Model Context Protocol (MCP).
This repository contains a collection of example Model Context Protocol (MCP) servers, each demonstrating different integrations and use cases for the MCP standard.
OpenAI-API compatible terminal chatbot and MCP client in Rust
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.