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

By transforming source code into a queryable Semantic Graph and a structured AST, this tool bridges the gap between "reading text" and "understanding structure.

This project implements a Model Context Protocol (MCP) server for GitHub API access. It provides a set of tools that allow LLM agents to interact with GitHub repositories, issues, pull requests, and...

Maintenance of a set of tools to enhance LLM through MCP protocols.

An MCP Server to enable global access to Rememberizer

A simple note-taking MCP server for recording and managing notes with AI models.

MCP Server for Perses

AI-powered FL Studio control via the Model Context Protocol. Beyond piano-roll notes — full in-DAW mixing (Mix Doctor, gain staging, EQ/comp/reverb, reference matching), routing, and composition...

Sweet Home 3D plugin that embeds an MCP server — lets Claude control Sweet Home 3D over HTTP

An MCP server for code reviews using OpenAI and Google models for Claude-code

Use MCP to control Recaf4.0 to achieve methods like decompile/rename

A lightweight Model Context Protocol (MCP) server that enables AI assistants like Cursor & Claude to read from and write to your Obsidian vault.

Give your AI assistant its own AI assistants.
Agent Skills

Collection of components and sections specifically designed for creating landing pages with Nuxt 4 and Nuxt UI.

CLI to manage emails

Clone of nanoclaw in Elixir

Official Compound Engineering plugin for Claude Code, Codex, Cursor, and more

A meta-skill that designs domain-specific agent teams, defines specialized agents, and generates the skills they use.

Shared guardrails, skills, and bootstrap scripts for AI coding agents

Turn noisy command output into a short, actionable first pass for coding agents.

Unofficial Python CLI for Google Flow. Drive Veo (image-to-video, text-to-video) and Imagen (text-to-image) from your terminal: scripted, batched, pipeline-ready.

Examples of my Claude Code infrastructure with skill auto-activation, hooks, and agents

Anti-laziness skill for AI agents. Core: the Depth Tree method, which splits a task N layers deep and gives every leaf the full time budget of the whole task, so effort multiplies with depth.

Vendor-neutral, persistent project context for AI coding agents. Shared state lives under docs/context/, stays reviewable in Git, and survives chat resets, compaction, and switching agents (Claude...

AI code review that lands on the PR, not in your terminal — GitHub, GitLab, Bitbucket. Learns each repo's conventions: 1 review, 1 fix commit, replies in thread.