Zen MCP Server 용 NPX 래퍼 - 향상된 개발 기능을 위해 여러 AI 모델 (Gemini, OpenAI, OpenRouter, Ollama)에 Claude 액세스를 제공합니다.

빠른 시작

그게 다야! 필요 없음. 🎉

젠 MCP 서버는 무엇입니까?

젠 MCP Server는 여러 AI 모델에 Claude Desktop 액세스를 제공합니다.

• ** Gemini 2.0과 함께하는 이유** Pro의 생각 모드
• Р **Collaborative 개발 ** 여러 AI 관점
•  ** 코드 검토 ** 및 건축 분석
• 고급 디버깅**
• Large 큰 컨텍스트 분석 (Gemini: 1M 토큰, O3: 200K 토큰)
• ܧConversation threading - AI 모델은 여러 통화에서 컨텍스트를 유지

특징

• ✅No Docker required - Python과 직접 실행
• ♨ 빠른 시작 - 컨테이너 오버헤드 없음
• Mini ** 경량 ** - Minimal 자원 사용
• ☸ ** 자동 설치 ** - Python 의존성을 자동으로 처리
• ☸ ** 가상 환경 ** - 고립 된 종점
• 🌍 ** 크로스 플랫폼 ** - macOS, Windows, Linux에서 작동합니다.

처음 설정

첫 번째 실행에서 래퍼는:

1. Python 3.11+를 설치
2. Clone Zen MCP 서버로 ~/.zen-mcp-server
3. 만들기 `.

Zen MCP Server NPX Wrapper

Easy-to-use NPX wrapper for Zen MCP Server - Give Claude access to multiple AI models (Gemini, OpenAI, OpenRouter, Ollama) for enhanced development capabilities.

Quick Start

npx zen-mcp-server-199bio

That’s it! No Docker required. 🎉

What is Zen MCP Server?

Zen MCP Server gives Claude Desktop access to multiple AI models for:

• 🧠 Extended reasoning with Gemini 2.0 Pro’s thinking mode
• 💬 Collaborative development with multiple AI perspectives
• 🔍 Code review and architectural analysis
• 🐛 Advanced debugging with specialized models
• 📊 Large context analysis (Gemini: 1M tokens, O3: 200K tokens)
• 🔄 Conversation threading - AI models maintain context across multiple calls

Features

• ✅ No Docker required - Runs directly with Python
• 🚀 Fast startup - No container overhead
• 💾 Lightweight - Minimal resource usage
• 🔧 Auto-setup - Handles Python dependencies automatically
• 📦 Virtual environment - Isolated dependencies
• 🌍 Cross-platform - Works on macOS, Windows, Linux

First Time Setup

On first run, the wrapper will:

1. Check Python 3.11+ is installed
2. Clone Zen MCP Server to ~/.zen-mcp-server
3. Create .env file and prompt for API keys
4. Set up Python virtual environment
5. Install dependencies automatically

Quick Install

1. Get API Keys (at least one required)

Choose one or more:

• Gemini: Google AI Studio
• OpenAI: OpenAI Platform
• OpenRouter: OpenRouter (access to 100+ models)

2. Add to Claude Desktop

Add to your claude_desktop_config.json:

{
  "mcpServers": {
    "zen": {
      "command": "npx",
      "args": ["zen-mcp-server-199bio"],
      "env": {
        "GEMINI_API_KEY": "your_gemini_key_here",
        "OPENAI_API_KEY": "your_openai_key_here",
        "OPENROUTER_API_KEY": "your_openrouter_key_here"
      }
    }
  }
}

That’s it! Just restart Claude Desktop and you’re ready to go.

Location of config file:

• macOS: ~/Library/Application Support/Claude/claude_desktop_config.json
• Windows: %APPDATA%\Claude\claude_desktop_config.json
• Linux: ~/.config/Claude/claude_desktop_config.json

Usage with Claude CLI

claude mcp add zen "npx" "zen-mcp-server-199bio"

Available Tools

Once configured, Claude will have access to these tools:

• zen - Default tool for quick AI consultation (alias for chat)
• chat - Collaborative development discussions
• thinkdeep - Extended reasoning (Gemini 2.0 Pro)
• codereview - Professional code review
• precommit - Pre-commit validation
• debug - Advanced debugging assistance
• analyze - Smart file and codebase analysis

Quick Usage: Just say “use zen” for quick AI consultations!

Troubleshooting