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

A Firefox browser automation system for Claude Code that enables AI-powered interaction with web pages.

⚡ 需求分析效率提升 200%!全球首个为 AI 编程时代设计的团队协作 MCP 服务器,自动分析需求自动编写前后端代码,下载切图

This repository contains a Model Context Protocol server implementation for Dev.to that allows AI assistants to access and interact with Dev.to content.

Developer tools for AI crypto agents 🛠️ Build apps with DeFi trading, DEX swaps, smart contract deployment, token operations, staking, bridging, wallet automation, honeypot detection, security...

A from-scratch stealth browser engine in Rust — own BoringSSL TLS/JA4 fingerprint, real JS, no Chromium, no CDP. Python + MCP bindings.

This is MCP server for Claude that gives it terminal control, file system search and diff file editing capabilities

Bringing Human Capabilities to AI Agents

This project is a python server that implements the Model Context Protocol (MCP) for Zotero, giving you access to your Zotero library within AI assistants.

A Model Context Protocol server to connect to the MIRO Whiteboard Application.

MCP Server for Cutter

Model Context Protocol server for FTP access

70+ databases in 20 MB. Desktop, Docker, CLI, built-in AI assistant, and MCP Server.
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.

English | 简体中文 | 日本語 | 한국어 | Tiếng Việt | Português | Español | Deutsch | Français | हिंदी

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?