Which integrations are available for this server?

Q: Which integrations are available for this server?

Provides containerized deployment with automatic [Docker](/mcp/servers/integrations/docker) Desktop detection and startup capability. Supports pre-commit validation of [git](/mcp/servers/integrations/git) changes across multiple repositories, detecting incomplete changes and validating implementation against requirements. Integrates with [Google](/mcp/servers/integrations/google)'s Gemini models (2.5 Pro and 2.0 Flash) for extended thinking, deep analysis, and ultra-fast responses. Enables use of local [Ollama](/mcp/servers/integrations/ollama) models like Llama 3.2 through custom API endpoints for private, cost-controlled AI inference. Integrates with [OpenAI](/mcp/servers/integrations/openai)'s O3 and O3-mini models for strong logical reasoning and general intelligence capabilities in code analysis and debugging. Uses [Redis](/mcp/servers/integrations/redis) for AI-to-AI conversation threading and persistence, allowing multi-turn conversations with full context history.

Provides containerized deployment with automatic Docker Desktop detection and startup capability.

Supports pre-commit validation of git changes across multiple repositories, detecting incomplete changes and validating implementation against requirements.

Integrates with Google's Gemini models (2.5 Pro and 2.0 Flash) for extended thinking, deep analysis, and ultra-fast responses.

Enables use of local Ollama models like Llama 3.2 through custom API endpoints for private, cost-controlled AI inference.

Integrates with OpenAI's O3 and O3-mini models for strong logical reasoning and general intelligence capabilities in code analysis and debugging.

Uses Redis for AI-to-AI conversation threading and persistence, allowing multi-turn conversations with full context history.

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. 🎉

Related MCP server: API Tester MCP Server

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:

Check Python 3.11+ is installed
Clone Zen MCP Server to ~/.zen-mcp-server
Create .env file and prompt for API keys
Set up Python virtual environment
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

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:

cd ~/.zen-mcp-server python3 -m venv venv source venv/bin/activate # On Windows: venv\Scripts\activate pip install -r requirements.txt

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

License

Apache 2.0 - See LICENSE

Zen MCP Enhanced