mcp-ultimate-memory/setup.sh

#!/bin/bash

# Ultimate Memory MCP Server - Ollama Edition Setup Script
# Self-hosted embeddings with complete privacy and control

set -e

echo "🦙 Setting up Ultimate Memory MCP Server - Ollama Edition..."

# Check Python version
python_version=$(python3 --version 2>&1 | awk '{print $2}' | cut -d. -f1,2)
required_version="3.11"

if [ "$(printf '%s\n' "$required_version" "$python_version" | sort -V | head -n1)" != "$required_version" ]; then
    echo "❌ Python 3.11+ is required. You have Python $python_version"
    echo "Please upgrade Python and try again."
    exit 1
fi

echo "✅ Python $python_version detected"

# Install dependencies
echo "📦 Installing dependencies..."
pip install -r requirements.txt

# Check if Ollama is installed
echo "🔍 Checking for Ollama installation..."
if command -v ollama &> /dev/null; then
    echo "✅ Ollama is installed"
    ollama_version=$(ollama --version 2>&1 | head -n1)
    echo "   Version: $ollama_version"
else
    echo "❌ Ollama not found"
    echo ""
    echo "📥 Please install Ollama:"
    echo "   Linux/macOS: curl -fsSL https://ollama.ai/install.sh | sh"
    echo "   Or download from: https://ollama.ai/"
    echo ""
    read -p "Continue setup without Ollama? (y/N): " continue_setup
    if [[ ! $continue_setup =~ ^[Yy]$ ]]; then
        echo "Please install Ollama and run setup again."
        exit 1
    fi
fi

# Check if .env exists
if [ ! -f .env ]; then
    echo "⚙️ Creating environment configuration..."
    cp .env.example .env
    echo "✅ Created .env file with default settings"
else
    echo "✅ Environment file already exists"
fi

# Test Ollama connection if available
if command -v ollama &> /dev/null; then
    echo ""
    echo "🧪 Testing Ollama setup..."
    
    # Check if Ollama server is running
    if curl -s http://localhost:11434/api/tags > /dev/null 2>&1; then
        echo "✅ Ollama server is running"
        
        # Check for required model
        model_name="nomic-embed-text"
        if ollama list | grep -q "$model_name"; then
            echo "✅ Embedding model '$model_name' is available"
        else
            echo "❌ Embedding model '$model_name' not found"
            echo ""
            read -p "Download the embedding model now? (Y/n): " download_model
            if [[ ! $download_model =~ ^[Nn]$ ]]; then
                echo "📥 Downloading $model_name..."
                if ollama pull $model_name; then
                    echo "✅ Model downloaded successfully"
                else
                    echo "❌ Failed to download model"
                fi
            fi
        fi
        
        # Optional: Check for summary model
        summary_model="llama3.2:1b"
        if ollama list | grep -q "$summary_model"; then
            echo "✅ Summary model '$summary_model' is available"
        else
            echo "ℹ️  Summary model '$summary_model' not found (optional)"
            read -p "Download the summary model? (y/N): " download_summary
            if [[ $download_summary =~ ^[Yy]$ ]]; then
                echo "📥 Downloading $summary_model..."
                ollama pull $summary_model
            fi
        fi
        
    else
        echo "❌ Ollama server is not running"
        echo ""
        echo "🚀 To start Ollama server:"
        echo "   ollama serve"
        echo ""
        echo "   Then in another terminal:"
        echo "   ollama pull nomic-embed-text"
        echo ""
    fi
fi

# Create database directory
mkdir -p memory_graph_db
echo "✅ Created database directory"

# Show current configuration
echo ""
echo "📋 Configuration Summary:"
if [ -f .env ]; then
    base_url=$(grep "OLLAMA_BASE_URL=" .env | cut -d= -f2)
    model=$(grep "OLLAMA_EMBEDDING_MODEL=" .env | cut -d= -f2)
    db_path=$(grep "KUZU_DB_PATH=" .env | cut -d= -f2)
    
    echo "   Database: $db_path"
    echo "   Ollama URL: $base_url"
    echo "   Embedding Model: $model"
fi

# Test the setup
echo ""
echo "🧪 Running tests..."

# Test Ollama connection first
echo "Testing Ollama connection..."
if python test_server.py --connection-only; then
    echo ""
    echo "Testing memory server functionality..."
    python test_server.py
else
    echo ""
    echo "❌ Ollama connection test failed."
    echo "Please check your Ollama setup and try again."
    echo ""
    echo "🔧 Troubleshooting:"
    echo "1. Start Ollama: ollama serve"
    echo "2. Install model: ollama pull nomic-embed-text"
    echo "3. Check status: curl http://localhost:11434/api/tags"
    echo "4. Run: python test_server.py --help-setup"
    exit 1
fi

echo ""
echo "🎉 Setup complete!"
echo ""
echo "🚀 Next steps:"
echo "1. Keep Ollama running: ollama serve (in background)"
echo "2. Start the memory server: python memory_mcp_server.py"
echo "3. Configure your MCP client (see mcp_config_example.json)"
echo ""
echo "💡 Ollama Tips:"
echo "   - Server uses ~1.5GB RAM for nomic-embed-text"
echo "   - First embedding generation may be slower (model loading)"
echo "   - All processing happens locally (complete privacy)"
echo "   - No API costs or rate limits"
echo ""
echo "📚 For detailed docs: cat README.md"
echo "🔧 For troubleshooting: python test_server.py --help-setup"
echo ""
echo "🦙 Enjoy your self-hosted memory system!"