iflow-mcp_slyfox1186-claude-code-openrouter 1.0.0

OpenRouter MCP Server - Access 400+ AI models in Claude Code

OpenRouter MCP Server

Use 400+ AI models (Claude, GPT-4, Gemini, etc.) directly in Claude Code

Intelligent model selection • 1M+ token support • Multi-model collaboration

🚀 Complete Setup Guide

Follow these steps exactly to get up and running in 5 minutes:

Prerequisites

• Docker installed and running (Get Docker)
• Python 3.8+ installed (Get Python)
• Claude Code desktop app (Get Claude Code)
• OpenRouter API key (Get API Key)

Step 1: Clone Repository

git clone https://github.com/slyfox1186/claude-code-openrouter.git
cd claude-code-openrouter

Step 2: Get Your OpenRouter API Key

1. Go to OpenRouter.ai
2. Sign up or log in to your account
3. Navigate to "Keys" in your dashboard
4. Create a new API key
5. Copy the key (starts with sk-or-v1-)

Step 3: Configure Environment

Create your .env file with your API key:

cat > .env << 'EOF'
# Required: Your OpenRouter API Key
OPENROUTER_API_KEY=sk-or-v1-your_actual_api_key_here

# OpenRouter API Configuration
OPENROUTER_BASE_URL=https://openrouter.ai/api/v1

# Default Model Settings
DEFAULT_MODEL=moonshotai/kimi-k2-thinking
DEFAULT_TEMPERATURE=0.7
DEFAULT_MAX_TOKENS=1048576
DEFAULT_MAX_REASONING_TOKENS=16384

# Tool Configuration
ENABLE_WEB_SEARCH=true
FORCE_INTERNET_SEARCH=true

# Logging Configuration
LOG_LEVEL=INFO
LOG_FILE=openrouter_mcp.log

# Rate Limiting
RATE_LIMIT_REQUESTS_PER_MINUTE=60

# MCP Transport
MAX_MESSAGE_SIZE=10485760
MAX_CONCURRENT_REQUESTS=10
EOF

⚠️ IMPORTANT: Replace sk-or-v1-your_actual_api_key_here with your actual OpenRouter API key!

Step 4: Build and Start

# Make scripts executable
chmod +x tools/docker_manager.py add_mcp.sh

# Build and start the container in one command
python3 tools/docker_manager.py build && python3 tools/docker_manager.py start

Step 5: Connect to Claude Code

# Add MCP server to Claude Code
./add_mcp.sh

Step 6: Verify Setup

Test that everything is working:

# Check container status
python3 tools/docker_manager.py status

# View logs (should show "Simple OpenRouter MCP Server starting...")
python3 tools/docker_manager.py logs

🎉 Success! You can now use any OpenRouter model in Claude Code.

✨ Key Features

🧠 Intelligent Model Selection

• Context-Aware: Automatically chooses the best model based on your request
• Smart Qwen Handling: model: "qwen" intelligently selects between qwen3-max (general) or qwen3-coder-plus (coding)
• No More Errors: Eliminates fuzzy matching failures with LLM-powered decisions

🔧 Advanced Capabilities

• 400+ AI Models: Access to all OpenRouter models including GPT-4, Claude, Gemini, DeepSeek, etc.
• 1M+ Token Support: Send massive files without errors (1,048,576 token limit)
• Web Search Integration: Gemini automatically searches for current information
• Conversation Memory: Continue conversations with full context preservation
• Multi-Model Collaboration: Use /call-openrouter command for structured workflows

🛡️ Production Ready

• Graceful Shutdown Protection: Survives Claude Code disconnects without breaking
• Rate Limiting: Built-in protection against API limits
• Error Handling: Comprehensive error recovery and logging
• Docker Containerized: Isolated, reproducible environment

🎯 Quick Test

Try these commands in Claude Code to verify everything works:

# Test basic functionality
openrouter-docker - chat (prompt: "Hello! Can you confirm you're working?")

# Test intelligent model selection
openrouter-docker - chat (model: "qwen", prompt: "Write a Python function to reverse a string")
# ^ Should automatically choose qwen3-coder-plus due to coding context

openrouter-docker - chat (model: "qwen", prompt: "Explain quantum computing")
# ^ Should automatically choose qwen3-max for general explanation

# Test with file attachment
openrouter-docker - chat (model: "gemini", files: ["/path/to/file.py"], prompt: "Review this code")

Step 7: Install Claude Code Command (Optional)

For enhanced multi-model collaboration, copy the command script:

# Create Claude commands directory if it doesn't exist
mkdir -p ~/.claude/commands

# Copy the multi-model protocol command
cp examples/call-openrouter.md ~/.claude/commands/

# Now you can use '/call-openrouter' in Claude Code for collaborative workflows

🔑 Get Your API Key

1. Go to OpenRouter.ai
2. Sign up and get an API key
3. Add it to your .env file:

   OPENROUTER_API_KEY=your_key_here
   

🎯 What You Get

• 400+ AI Models: DeepSeek R1, GPT-4, Gemini Pro Preview, moonshotai/kimi-k2-thinking, Grok 4, and hundreds more
• Large File Support: Send multiple large files (1,048,576 token limit) without errors
• Web Search Integration: Gemini automatically searches the internet for current information
• Conversation Memory: Continue conversations across multiple requests with full context
• Model Switching: Change models mid-conversation seamlessly
• Multi-Model Collaboration: Use /call-openrouter command for structured model collaboration workflows
• Easy Management: Interactive Docker manager for build/start/logs/shell
• No Duplicates: Single persistent container (no more container proliferation)

💬 Usage Examples

Chat with different models:

# Use DeepSeek R1 (default) - great for reasoning and analysis
openrouter-docker - chat (prompt: "Explain quantum computing concepts")

# Use DeepSeek Chat v3.1 (deepseek/deepseek-chat-v3.1) - latest version with 163K context
openrouter-docker - chat (model: "deepseek-v3.1", prompt: "Solve this complex problem step by step")

# Use Gemini 2.5 Pro Preview with automatic web search for current info
openrouter-docker - chat (model: "gemini", prompt: "What are the latest AI developments in 2025?")

# Use moonshotai/kimi-k2-thinking for advanced reasoning and programming tasks
openrouter-docker - chat (model: "kimi", prompt: "Write a Python function to sort a dictionary by values")

# Use moonshotai/kimi-k2-thinking by Moonshot AI for advanced reasoning
openrouter-docker - chat (model: "kimi", prompt: "Analyze this complex system architecture")

# Use Grok 4 by X.AI for creative and analytical tasks
openrouter-docker - chat (model: "grok", prompt: "Help me brainstorm innovative solutions")

# Use GPT-5 for latest flagship performance with 400K context window
openrouter-docker - chat (model: "gpt-5", prompt: "Analyze this complex business strategy")

# Continue previous conversation with context
openrouter-docker - chat (continuation_id: "uuid-from-previous", prompt: "Can you elaborate on that?")

Attach files for analysis:

# Send multiple large code files to any model (1M+ tokens supported!)
openrouter-docker - chat (model: "gemini", files: ["/path/to/main.py", "/path/to/config.json"], prompt: "Review this codebase for security vulnerabilities")

# Analyze documentation with web search for current best practices
openrouter-docker - chat (model: "gemini", files: ["/path/to/README.md"], prompt: "Summarize this project and compare with 2025 industry standards")

# Programming help with moonshotai/kimi-k2-thinking
openrouter-docker - chat (model: "kimi", files: ["/path/to/broken_script.py"], prompt: "Debug this code and suggest improvements")

# Control web search behavior manually when needed
openrouter-docker - chat (model: "gemini", force_internet_search: false, prompt: "Explain basic programming concepts without external references")

Multi-Model Collaboration:

# Use the collaborative workflow command in Claude Code
/call-openrouter

# This initiates a structured workflow:
# 1. Gemini Pro 2.5 creates initial proposal
# 2. DeepSeek R1 refines and improves the plan
# 3. moonshotai/kimi-k2-thinking provides tie-breaking if needed
# 4. Automatic implementation of the agreed solution

🤖 Available Models

Just use simple names:

• gemini → Google Gemini 2.5 Pro Preview (with web search)
• deepseek → DeepSeek R1 (reasoning & analysis)
• deepseek-v3.1 → DeepSeek Chat v3.1 (latest version with 163K context)
• kimi → Moonshot moonshotai/kimi-k2-thinking (advanced reasoning)
• grok → X.AI Grok Code Fast 1 (fast code generation & programming)
• gpt-5 → OpenAI GPT-5 (latest flagship model with 400K context)
• Plus 400+ other models available by full name

🛠️ Management Commands

Check status:

python3 tools/docker_manager.py status

View logs:

python3 tools/docker_manager.py logs

Restart container:

python3 tools/docker_manager.py restart

Interactive shell:

python3 tools/docker_manager.py shell

Manual Docker commands:

# Check container status
docker ps | grep openrouter

# View logs directly
docker logs openrouter

# Manual restart
docker restart openrouter

🆘 Troubleshooting Guide

Common Issues & Solutions

🔧 Setup Issues

"No such file or directory" when running scripts:

# Make sure you're in the right directory
cd claude-code-openrouter

# Make scripts executable
chmod +x tools/docker_manager.py add_mcp.sh

Docker not found or permission denied:

# On Linux, add your user to docker group
sudo usermod -aG docker $USER
# Then log out and back in

# Or run with sudo (not recommended)
sudo python3 tools/docker_manager.py build

Python command not found:

# Try different Python commands
python tools/docker_manager.py build  # On some systems
py tools/docker_manager.py build      # On Windows

🔌 Connection Issues

MCP server not connecting to Claude Code:

# Remove and re-add the MCP connection
claude mcp remove openrouter-docker
./add_mcp.sh

# Check if container is running
python3 tools/docker_manager.py status

# Restart Claude Code app completely

Container won't start:

# Full restart sequence
python3 tools/docker_manager.py stop
python3 tools/docker_manager.py build
python3 tools/docker_manager.py start

# Check for errors in logs
python3 tools/docker_manager.py logs

🚫 API Issues

OpenRouter API errors (401 Unauthorized):

# Check your .env file has the correct API key
cat .env | grep OPENROUTER_API_KEY

# Verify your API key is valid at openrouter.ai
# Make sure it starts with 'sk-or-v1-'

Rate limiting errors (429 Too Many Requests):

# Edit .env file to reduce rate limit
echo "RATE_LIMIT_REQUESTS_PER_MINUTE=30" >> .env

# Restart container
python3 tools/docker_manager.py restart

Large file errors (413 Request Too Large):

• ✅ This is fixed in the latest version with 1M+ token support
• Update to latest: git pull && python3 tools/docker_manager.py build && python3 tools/docker_manager.py restart

🐛 Model Selection Issues

"Model not found" errors:

# Use simple aliases instead of full model names
# ✅ Good: model: "gemini"
# ❌ Bad: model: "google/gemini-2.5-pro-preview"

# Test intelligent model selection
openrouter-docker - chat (model: "qwen", prompt: "test")

🔍 Diagnostic Commands

Full system check:

# Check all components
echo "=== Docker Status ===" && docker --version
echo "=== Container Status ===" && python3 tools/docker_manager.py status
echo "=== MCP Status ===" && claude mcp list
echo "=== Logs ===" && python3 tools/docker_manager.py logs --tail 5

Reset everything:

# Nuclear option - rebuild from scratch
python3 tools/docker_manager.py stop
docker system prune -f
python3 tools/docker_manager.py build
python3 tools/docker_manager.py start
claude mcp remove openrouter-docker
./add_mcp.sh

🆘 Still Need Help?

1. Check logs first: python3 tools/docker_manager.py logs
2. Verify your .env file has a valid OpenRouter API key
3. Make sure Docker is running and accessible
4. Try the diagnostic commands above
5. Open an issue with:
   • Your operating system
   • Error messages from logs
   • Steps you've already tried

📄 License

Apache 2.0 License - see LICENSE

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