"""
Entry point for the MCP Knowledge Search application.
"""
import sys
import os
import logging
import uvicorn
# Add the parent directory to the Python path so we can import the main script
sys.path.insert(0, os.path.abspath(os.path.join(os.path.dirname(__file__), '..')))
# Import the app from the main script
from mcp_fondu_search_user_context.server import app, mcp
def main():
"""Run the MCP server."""
# Set up logging for AWS App Runner
logging.basicConfig(
level=logging.INFO,
format='%(asctime)s - %(name)s - %(levelname)s - %(message)s',
stream=sys.stdout # App Runner captures stdout
)
try:
port = int(os.environ.get("PORT", 8080))
host = "0.0.0.0" # Listen on all available interfaces
logging.info(f"Starting server on {host}:{port}")
uvicorn.run(app, host=host, port=port, log_level="info")
except Exception as e:
logging.error(f"Failed to start server: {str(e)}", exc_info=True)
sys.exit(1)
# This allows gunicorn to import app from mcp_tools.run
if __name__ == "__main__":
# if len(sys.argv) <= 1:
# # Run with stdio transport for Claude Desktop
# mcp.run(transport='stdio')
# else:
main()
