Mcp Zen

Zen MCP Server NPX Wrapper

Easy-to-use NPX wrapper for [Zen MCP Server](https://github.com/BeehiveInnovations/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_opena