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MCP Project Orchestrator

setup_aws_mcp.sh4.37 kB
#!/bin/bash # Setup script for AWS MCP integration # This script helps configure AWS credentials and test the integration set -e echo "======================================" echo "AWS MCP Integration Setup" echo "======================================" echo "" # Check if boto3 is installed if ! python3 -c "import boto3" 2>/dev/null; then echo "❌ boto3 is not installed" echo "Installing boto3 and botocore..." pip install boto3 botocore echo "✅ boto3 installed successfully" else echo "✅ boto3 is already installed" fi # Check if .env file exists if [ ! -f .env ]; then echo "" echo "Creating .env file from template..." cp .env.example .env echo "✅ .env file created" echo "" echo "⚠️ Please edit .env file and add your AWS credentials" echo " Required variables:" echo " - AWS_REGION" echo " - AWS_ACCESS_KEY_ID (optional if using IAM roles)" echo " - AWS_SECRET_ACCESS_KEY (optional if using IAM roles)" echo "" echo "You can also use AWS CLI profiles by setting AWS_PROFILE" else echo "✅ .env file already exists" fi # Check if AWS CLI is configured echo "" echo "Checking AWS CLI configuration..." if command -v aws &> /dev/null; then echo "✅ AWS CLI is installed" if aws sts get-caller-identity &> /dev/null; then echo "✅ AWS credentials are configured" echo "" echo "Current AWS Identity:" aws sts get-caller-identity else echo "⚠️ AWS CLI is not configured or credentials are invalid" echo "" echo "To configure AWS CLI, run:" echo " aws configure" echo "" echo "Or use environment variables in .env file" fi else echo "⚠️ AWS CLI is not installed" echo " Install it from: https://aws.amazon.com/cli/" fi # Test AWS MCP integration echo "" echo "======================================" echo "Testing AWS MCP Integration" echo "======================================" echo "" # Create a test script cat > /tmp/test_aws_mcp.py << 'EOF' """Test AWS MCP integration.""" import os from dotenv import load_dotenv # Load environment variables load_dotenv() print("Loading AWS MCP integration...") try: from mcp_project_orchestrator.aws_mcp import AWSConfig, AWSMCPIntegration # Check configuration config = AWSConfig() print(f"✅ AWS Region: {config.region}") if config.validate(): print("✅ AWS configuration is valid") else: print("⚠️ AWS configuration validation failed") print(" Check your environment variables") # Initialize integration aws = AWSMCPIntegration(config) print("✅ AWS MCP integration initialized") # Test best practices print("\nTesting AWS best practices...") practices = aws.get_aws_best_practices('s3') print(f"✅ Retrieved {len(practices)} best practice categories for S3") # Test cost estimation print("\nTesting cost estimation...") estimate = aws.estimate_costs('s3', {'storage_gb': 100, 'requests': 10000}) print(f"✅ Cost estimate: ${estimate['total_usd']} USD") print("\n" + "="*50) print("✅ All tests passed!") print("="*50) print("\nAWS MCP integration is ready to use.") print("\nAvailable MCP tools:") print(" - aws_list_s3_buckets") print(" - aws_list_ec2_instances") print(" - aws_list_lambda_functions") print(" - aws_best_practices") print(" - aws_estimate_costs") except ImportError as e: print(f"❌ Import error: {e}") print("\nMake sure you have installed the package:") print(" pip install -e .[aws]") except Exception as e: print(f"❌ Error: {e}") import traceback traceback.print_exc() EOF # Run the test python3 /tmp/test_aws_mcp.py # Cleanup rm /tmp/test_aws_mcp.py echo "" echo "======================================" echo "Setup Complete!" echo "======================================" echo "" echo "Next steps:" echo "1. Edit .env file with your AWS credentials (if needed)" echo "2. Run the MCP server: python -m mcp_project_orchestrator.project_orchestration" echo "3. Use AWS MCP tools in your AI assistant" echo "" echo "Documentation:" echo " - See docs/AWS_MCP.md for detailed usage" echo " - See .env.example for all configuration options" echo ""

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