mcp-proxy-for-aws

import os from mcp_proxy_for_aws.mcp_proxy import McpProxy # Ensure AWS credentials and region are configured (e.g., via environment variables or ~/.aws/credentials) # For programmatic use, you might explicitly pass them, but for quickstart, rely on boto3's default chain. aws_region = os.environ.get('AWS_REGION', 'us-east-1') mcp_endpoint_url = os.environ.get('MCP_ENDPOINT_URL', 'https://your-mcp-server.amazonaws.com/mcp') try: # Initialize the MCP Proxy client proxy_client = McpProxy(endpoint=mcp_endpoint_url, region=aws_region) print(f"Initialized MCP Proxy for endpoint: {mcp_endpoint_url}") # Example: Discover tools (this would typically involve calling a method that hits the MCP server) # Note: The actual method for tool discovery might vary based on the MCP server implementation. # This is a placeholder for demonstrating client initialization. print("Attempting to discover tools (requires a live MCP server)...") # In a real scenario, you'd call methods like proxy_client.discover_tools() if available # or integrate with an AI agent framework. print("MCP Proxy client initialized successfully. Ready for agent integration.") except Exception as e: print(f"Error initializing MCP Proxy: {e}") print("Please ensure 'MCP_ENDPOINT_URL' and AWS credentials/region are correctly configured.")