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

That's it! No Docker required. 🎉

Related MCP server: Multi-AI MCP Server for Claude Code

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

Configuration

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)

• Local Models: Ollama, vLLM, LM Studio (no API key needed)

2. Configure API Keys

Edit ~/.zen-mcp-server/.env:

Usage with Claude Desktop

Add to your claude_desktop_config.json:

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

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

Python not found?

• macOS: brew install python@3.11

• Windows: Download from python.org

• Linux: sudo apt install python3.11

Dependencies issue?

The wrapper tries to install automatically, but if it fails:

API key issues?

• Check ~/.zen-mcp-server/.env has valid keys

• Ensure at least one API key is configured

• For OpenRouter, check your credits/limits

Requirements

• Python 3.11+

• Node.js >= 14.0.0

• Git

• At least one API key (Gemini, OpenAI, or OpenRouter)

Why No Docker?

We removed Docker because:

• Faster startup - No container overhead

• Less resource usage - No Redis, no Docker daemon

• Simpler - Just Python and your API keys

• Same features - Conversation threading works perfectly with in-memory storage

Links

• Zen MCP Server

• NPX Wrapper Repo

• Model Context Protocol

License

Apache 2.0 - See LICENSE