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

A Model Context Protocol server that provides read-only access to MySQL databases. This server enables LLMs to inspect database schemas and execute read-only queries.

MCP server for interfacing with Godot game engine. Provides tools for launching the editor, running projects, and capturing debug output.

A local Model Context Protocol (MCP) server for TikTok Ads API integration. It lets MCP clients such as Claude Desktop connect to TikTok Ads, authenticate with a TikTok Business app, and use...

A Model Context Protocol server that enables Make scenarios to be utilized as tools by AI assistants. This integration allows AI systems to trigger and interact with your Make automation workflows.

Plugin for JADX to integrate MCP server

Public Python SDK, CLI, and MCP server for extracting metadata, text, timed transcripts, media, and supported comments from Douyin, RedNote, Bilibili, and YouTube.

MCP server to provide Figma layout information to AI coding agents like Cursor

A Model Context Protocol server for Zendesk.

This Model Context Protocol server implementation of Asana allows you to talk to Asana API from MCP Client such as Anthropic's Claude Desktop Application, and many more.

A server to integrate with Anki via the AnkiConnect plugin

MCP server for Grafana

A secure REST API and Model Context Protocol (MCP) server for your vault.
Agent Skills

Small, composable skills for coding agents.

Formerly known as the ODIN Claude Plugin. The repo URL stays the same; the brand has matured.

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A curated pack of security skills for external reconnaissance, web applications, APIs, authentication, vulnerability validation, attack-path analysis, and reporting.

Режим идиоматического русского мата для AI-агентов. Короче, душевнее, эффективнее. 18+

OpenShell is the safe, private runtime for autonomous AI agents. It provides sandboxed execution environments that protect your data, credentials, and infrastructure — governed by declarative YAML...

Starter-kit for writing services in Go using Kubernetes.

LLM-compiled knowledge bases for any AI agent. Parallel multi-agent research, collector catalogs, automated session capture, feedback curation, thesis-driven investigation, source ingestion, wiki...

You don't write AGENTS.md. You train it with gradient descent.

Seu mentor de Inteligência Artificial para aprender mais e melhor na DIO.

— A self-evolving second brain powered by AI agents, markdown files, and version control. No database, no vendor lock-in — just .md files that think.

In the AI era, why can't everyone be a Principal Investigator?