Claude Desktop 설치 가이드
로컬 MCP 설정을 지원하는 데스크톱 클라이언트.
MCP Servers
Self-hosted URL-to-Markdown service for humans and AI agents.
RenderDoc UI拡張機能として動作するMCPサーバー。AIアシスタントがRenderDocのキャプチャデータにアクセスし、グラフィックスデバッグを支援する。
Lightweight MCP for AI agent browser automation. Record once, replay forever — cut token cost and speed up repetitive tasks.
The official MCP server to send emails and interact with Resend
The official Redis MCP Server is a natural language interface designed for agentic applications to manage and search data in Redis efficiently
Entroly — The Open-Source Context OS for AI Agents
Library for connecting AI agents to Todoist. Includes tools that can be integrated into LLMs, enabling them to access and modify a Todoist account on the user's behalf.
A persistent, Git-versioned map of your whole codebase and database schema that coding agents read before they touch anything.
Permanent memory for AI agents. Single binary, zero dependencies, MCP native.
Full agentic runs for Slay the Spire 2. A mod that exposes in-game state, and the MCP server for the mod.
- 🎭 ：使用 Playwright 完整模拟浏览器环境 - 📝 ：自动提取标题、作者、发布时间、正文内容 - ⚡ ：最少的代码实现核心功能
A fully self-hosted AI agent built on n8n + PostgreSQL + Claude. Talks to you via Telegram or HTTP API (Slack, Teams, custom apps), builds its own MCP tools, manages reminders and memory — all...
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.