Zen MCP Server
A Model Context Protocol server that gives Claude access to multiple AI models (Gemini, OpenAI, OpenRouter) for enhanced code analysis, problem-solving, and collaborative development through AI orchestration with conversations that continue across tasks.
README Documentation
Zen MCP: Many Workflows. One Context.
AI orchestration for Claude Code - A Model Context Protocol server that gives your CLI of choice (e.g. Claude Code) access to multiple AI models for enhanced code analysis, problem-solving, and collaborative development.
True AI collaboration with conversation continuity - Claude stays in control but gets perspectives from the best AI for each subtask. Context carries forward seamlessly across tools and models, enabling complex workflows like: code reviews with multiple models → automated planning → implementation → pre-commit validation.
You're in control. Claude orchestrates the AI team, but you decide the workflow. Craft powerful prompts that bring in Gemini Pro, GPT 5, Flash, or local offline models exactly when needed.
Reasons to Use Zen MCP
-
Multi-Model Orchestration - Claude coordinates with Gemini Pro, O3, GPT-5, and 50+ other models to get the best analysis for each task
-
Context Revival Magic - Even after Claude's context resets, continue conversations seamlessly by having other models "remind" Claude of the discussion
-
Guided Workflows - Enforces systematic investigation phases that prevent rushed analysis and ensure thorough code examination
-
Extended Context Windows - Break Claude's limits by delegating to Gemini (1M tokens) or O3 (200K tokens) for massive codebases
-
True Conversation Continuity - Full context flows across tools and models - Gemini remembers what O3 said 10 steps ago
-
Model-Specific Strengths - Extended thinking with Gemini Pro, blazing speed with Flash, strong reasoning with O3, privacy with local Ollama
-
Professional Code Reviews - Multi-pass analysis with severity levels, actionable feedback, and consensus from multiple AI experts
-
Smart Debugging Assistant - Systematic root cause analysis with hypothesis tracking and confidence levels
-
Automatic Model Selection - Claude intelligently picks the right model for each subtask (or you can specify)
-
Vision Capabilities - Analyze screenshots, diagrams, and visual content with vision-enabled models
-
Local Model Support - Run Llama, Mistral, or other models locally for complete privacy and zero API costs
-
Bypass MCP Token Limits - Automatically works around MCP's 25K limit for large prompts and responses
The Killer Feature: When Claude's context resets, just ask to "continue with O3" - the other model's response magically revives Claude's understanding without re-ingesting documents!
Example: Multi-Model Code Review Workflow
Perform a codereview using gemini pro and o3 and use planner to generate a detailed plan, implement the fixes and do a final precommit check by continuing from the previous codereview
- This triggers a
codereview
workflow where Claude walks the code, looking for all kinds of issues - After multiple passes, collects relevant code and makes note of issues along the way
- Maintains a
confidence
level betweenexploring
,low
,medium
,high
andcertain
to track how confidently it's been able to find and identify issues - Generates a detailed list of critical -> low issues
- Shares the relevant files, findings, etc with Gemini Pro to perform a deep dive for a second
codereview
- Comes back with a response and next does the same with o3, adding to the prompt if a new discovery comes to light
- When done, Claude takes in all the feedback and combines a single list of all critical -> low issues, including good patterns in your code. The final list includes new findings or revisions in case Claude misunderstood or missed something crucial and one of the other models pointed this out
- It then uses the
planner
workflow to break the work down into simpler steps if a major refactor is required - Claude then performs the actual work of fixing highlighted issues
- When done, Claude returns to Gemini Pro for a
precommit
review
All within a single conversation thread! Gemini Pro in step 11 knows what was recommended by O3 in step 7! Taking that context and review into consideration to aid with its final pre-commit review.
Think of it as Claude Code for Claude Code. This MCP isn't magic. It's just super-glue.
Remember: Claude stays in full control — but YOU call the shots. Zen is designed to have Claude engage other models only when needed — and to follow through with meaningful back-and-forth. You're the one who crafts the powerful prompt that makes Claude bring in Gemini, Flash, O3 — or fly solo. You're the guide. The prompter. The puppeteer.
You are the AI - Actually Intelligent.
Recommended AI Stack
For best results, use Claude Code with:
- Opus 4.1 - All agentic work and orchestration
- Gemini 2.5 Pro - Deep thinking, code reviews, debugging, pre-commit analysis
Quick Start (5 minutes)
Prerequisites: Python 3.10+, Git, uv installed
1. Get API Keys (choose one or more):
- OpenRouter - Access multiple models with one API
- Gemini - Google's latest models
- OpenAI - O3, GPT-5 series
- X.AI - Grok models
- DIAL - Vendor-agnostic model access
- Ollama - Local models (free)
2. Install (choose one):
Option A: Instant Setup with uvx (recommended)
// Add to ~/.claude/settings.json or .mcp.json
{
"mcpServers": {
"zen": {
"command": "uvx",
"args": ["--from", "git+https://github.com/BeehiveInnovations/zen-mcp-server.git", "zen-mcp-server"],
"env": {
"PATH": "/usr/local/bin:/usr/bin:/bin:/opt/homebrew/bin:~/.local/bin",
"GEMINI_API_KEY": "your-key-here"
}
}
}
}
Option B: Clone and Setup
git clone https://github.com/BeehiveInnovations/zen-mcp-server.git
cd zen-mcp-server
./run-server.sh # Handles everything: setup, config, API keys
3. Start Using!
"Use zen to analyze this code for security issues with gemini pro"
"Debug this error with o3 and then get flash to suggest optimizations"
"Plan the migration strategy with zen, get consensus from multiple models"
👉 Complete Setup Guide with detailed installation, configuration, and troubleshooting
Core Tools
Note: Each tool comes with its own multi-step workflow, parameters, and descriptions that consume valuable context window space even when not in use. To optimize performance, some tools are disabled by default. See Tool Configuration below to enable them.
Collaboration & Planning (Enabled by default)
chat
- Brainstorm ideas, get second opinions, validate approachesthinkdeep
- Extended reasoning, edge case analysis, alternative perspectivesplanner
- Break down complex projects into structured, actionable plansconsensus
- Get expert opinions from multiple AI models with stance steering
Code Analysis & Quality
debug
- Systematic investigation and root cause analysisprecommit
- Validate changes before committing, prevent regressionscodereview
- Professional reviews with severity levels and actionable feedbackanalyze
(disabled by default - enable) - Understand architecture, patterns, dependencies across entire codebases
Development Tools (Disabled by default - enable)
refactor
- Intelligent code refactoring with decomposition focustestgen
- Comprehensive test generation with edge casessecaudit
- Security audits with OWASP Top 10 analysisdocgen
- Generate documentation with complexity analysis
Utilities
challenge
- Prevent "You're absolutely right!" responses with critical analysistracer
(disabled by default - enable) - Static analysis prompts for call-flow mapping
👉 Tool Configuration
Default Configuration
To optimize context window usage, only essential tools are enabled by default:
Enabled by default:
chat
,thinkdeep
,planner
,consensus
- Core collaboration toolscodereview
,precommit
,debug
- Essential code quality toolschallenge
- Critical thinking utility
Disabled by default:
analyze
,refactor
,testgen
,secaudit
,docgen
,tracer
Enabling Additional Tools
To enable additional tools, remove them from the DISABLED_TOOLS
list:
Option 1: Edit your .env file
# Default configuration (from .env.example)
DISABLED_TOOLS=analyze,refactor,testgen,secaudit,docgen,tracer
# To enable specific tools, remove them from the list
# Example: Enable analyze tool
DISABLED_TOOLS=refactor,testgen,secaudit,docgen,tracer
# To enable ALL tools
DISABLED_TOOLS=
Option 2: Configure in MCP settings
// In ~/.claude/settings.json or .mcp.json
{
"mcpServers": {
"zen": {
"env": {
// Enable analyze by removing it from disabled list
"DISABLED_TOOLS": "refactor,testgen,secaudit,docgen,tracer"
}
}
}
}
Option 3: Enable all tools
// Remove or empty the DISABLED_TOOLS to enable everything
{
"mcpServers": {
"zen": {
"env": {
"DISABLED_TOOLS": ""
}
}
}
}
Note:
- Essential tools (
version
,listmodels
) cannot be disabled - After changing tool configuration, restart your Claude session for changes to take effect
- Each tool adds to context window usage, so only enable what you need
Key Features
AI Orchestration
- Auto model selection - Claude picks the right AI for each task
- Multi-model workflows - Chain different models in single conversations
- Conversation continuity - Context preserved across tools and models
- Context revival - Continue conversations even after context resets
Model Support
- Multiple providers - Gemini, OpenAI, X.AI, OpenRouter, DIAL, Ollama
- Latest models - GPT-5, Gemini 2.5 Pro, O3, Grok-4, local Llama
- Thinking modes - Control reasoning depth vs cost
- Vision support - Analyze images, diagrams, screenshots
Developer Experience
- Guided workflows - Systematic investigation prevents rushed analysis
- Smart file handling - Auto-expand directories, manage token limits
- Web search integration - Access current documentation and best practices
- Large prompt support - Bypass MCP's 25K token limit
Example Workflows
Multi-model Code Review:
"Perform a codereview using gemini pro and o3, then use planner to create a fix strategy"
→ Claude reviews code systematically → Consults Gemini Pro → Gets O3's perspective → Creates unified action plan
Collaborative Debugging:
"Debug this race condition with max thinking mode, then validate the fix with precommit"
→ Deep investigation → Expert analysis → Solution implementation → Pre-commit validation
Architecture Planning:
"Plan our microservices migration, get consensus from pro and o3 on the approach"
→ Structured planning → Multiple expert opinions → Consensus building → Implementation roadmap
👉 Advanced Usage Guide for complex workflows, model configuration, and power-user features
Quick Links
📖 Documentation
- Getting Started - Complete setup guide
- Tools Reference - All tools with examples
- Advanced Usage - Power user features
- Configuration - Environment variables, restrictions
🔧 Setup & Support
- WSL Setup - Windows users
- Troubleshooting - Common issues
- Contributing - Code standards, PR process
License
Apache 2.0 License - see LICENSE file for details.
Acknowledgments
Built with the power of Multi-Model AI collaboration 🤝
- Actual Intelligence by real Humans
- MCP (Model Context Protocol) by Anthropic
- Claude Code - Your AI coding orchestrator
- Gemini 2.5 Pro & Flash - Extended thinking & fast analysis
- OpenAI O3 & GPT-5 - Strong reasoning & latest capabilities