MCP Zen — Development skill for Claude Code
Enhanced Zen MCP Server with 'zen' default tool and improvements.
How to install MCP Zen
This entry records only its repository, not the path inside it, so there is no
exact command to give. Open 199-mcp/mcp-zen and copy the folder into
~/.claude/skills/, or the file into ~/.claude/agents/.
What MCP Zen does
Enhanced Zen MCP Server with 'zen' default tool and improvements.
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README
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:
- Check Python 3.11+ is installed
- Clone Zen MCP Server to
~/.zen-mcp-server - Create
.envfile 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_opena
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