Claude Desktop 설치 가이드
로컬 MCP 설정을 지원하는 데스크톱 클라이언트.
MCP Servers
UnityMCP is a powerful Unity Editor plugin that implements the Model Context Protocol (MCP), enabling seamless integration between Unity and AI assistants.
The official ElevenLabs MCP server
Run Claude Code, Codex, Antigravity, Cursor Agent and OpenCode as one runtime — persistent sessions, multi-agent councils, an OpenAI-compatible endpoint, an MCP server, and an ACP agent any editor...
F2C MCP Server
Open-source BullMQ dashboard. Drop-in for any Node or Bun backend.
The Terraform MCP Server provides seamless integration with Terraform ecosystem, enabling advanced automation and interaction capabilities for Infrastructure as Code (IaC) development.
KiCAD MCP is a Model Context Protocol (MCP) implementation that enables Large Language Models (LLMs) like Claude to directly interact with KiCAD for printed circuit board design.
A MCP server for Home Assistant
A lightweight Model Context Protocol (MCP) server for safe Obsidian vault access
Official data.gouv.fr Model Context Protocol (MCP) server that allows AI chatbots to search, explore, and analyze datasets from the French national Open Data platform, directly through conversation.
Draw.io Model Context Protocol (MCP) Server
Lighweight CLI to interact with MCP servers
Agent Skills
Running 5 AI agents in parallel is easy. Making them not break each other's code is the hard part.
AI agents should not give project advice from vibes.
Personal memory across agents
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provide for AI agents, helping them build complete automated document workflows. Before large-model reasoning begins, ComPDF Skills can handle document parsing, OCR, data extraction, and structured...
Open-source paid media agent for Google Ads, Meta Ads, Reddit, LinkedIn, X, and OpenAI Ads: analysis, reports, and reviewed changes, built on Deep Agents.
RPC messaging library for the VS Code extension platform
Agent skills for Obsidian. Teach your agent to use Obsidian CLI and open formats including Markdown, Bases, JSON Canvas.
A curated list of high-signal resources for (formerly , originally ): frameworks, skills, tooling, deployments, and real-world use cases.
Agent Skill: Check academic paper citations for format, queryability, thematic relevance, and semantic accuracy.
Comprehensive best practices for building applications with the TanStack ecosystem. These skills provide AI coding agents with structured guidelines for TanStack Query, TanStack Router, and TanStack...
The real-time engine for AI agents on the JVM. Tokens flow from the LLM runtime to the client through a broadcaster you can filter, gate, and observe — over WebSocket, SSE, long-polling, or gRPC, and...