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

I'm not quite sure this works as is 😂 You may need to ask the model you're working with to clean it up:

HA-MCP Custom Component - HACS distribution mirror of homeassistant-ai/ha-mcp (integration only)

让 DCC 工具通过 MCP 协议接入 AI Agent 的桥接框架 | Bridge DCC tools to AI Agents via MCP protocol

Your Syscall Factory (feat. Canterlot's Gate)

MCP In Action 是一个实战项目,旨在帮助开发者快速掌握 Model Context Protocol (MCP) 的开发与应用。本项目通过实际案例展示如何构建基于 MCP 的应用,使大语言模型能够与外部工具和数据源进行交互,从而增强模型的能力范围。

A Python-based flow for securities analysis using the . The repository bundles market data, parsing, analytics and visualisation tools behind a FastMCP server so that they can be consumed locally or...

MUD MCP Stateful Server

This is a basic example of a Model Context Protocol (MCP) server implementation that demonstrates core functionality including tools and resources.

A Python-based Model Context Protocol (MCP) server that provides AI assistants like Claude with access to your Radarr (movies) and Sonarr (TV series) data.

A Model Context Protocol (MCP) server implementation in Delphi, designed to integrate with Claude Code, Codex, and other MCP-compatible clients for AI-powered Delphi development workflows.

The agent-native skills directory for — write Pine Script, backtest crypto strategies, optimize parameters, and run a full quant research desk from one conversation.

Real-time cost tracking for every MCP tool call across Cursor, Claude Desktop, Windsurf, and VS Code.
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.