Skip to main content
Glama

Adaptive Graph of Thoughts MCP Server

main.pyβ€’2.04 kB
import os import sys import uvicorn from loguru import logger # Import logger if you want to log here too # Add src directory to Python path sys.path.insert(0, os.path.abspath(os.path.join(os.path.dirname(__file__), "../.."))) from adaptive_graph_of_thoughts.app_setup import create_app from adaptive_graph_of_thoughts.config import settings from adaptive_graph_of_thoughts.server_factory import MCPServerFactory app = create_app() async def run_server(): """Run the appropriate server based on configuration.""" # Auto-detect transport if configured if settings.app.mcp_transport_type == "auto": detected_mode = MCPServerFactory.detect_transport_mode() logger.info(f"Auto-detected transport mode: {detected_mode}") if detected_mode == "stdio": logger.info("Starting STDIO server...") await MCPServerFactory.run_stdio_server() return # STDIO-only if configured if ( settings.app.mcp_transport_type == "stdio" and not MCPServerFactory.should_run_http() ): logger.info("Starting STDIO-only server...") await MCPServerFactory.run_stdio_server() return # Default to HTTP server logger.info("Starting HTTP server using Uvicorn...") logger.info( "Host: {}, Port: {}, Log Level: {}", settings.app.host, settings.app.port, settings.app.log_level, ) logger.info(f"Uvicorn reload mode: {settings.app.uvicorn_reload}") logger.info(f"Uvicorn workers: {settings.app.uvicorn_workers}") if MCPServerFactory.should_run_stdio(): logger.info("STDIO transport also available - use main_stdio.py for STDIO mode") uvicorn.run( "adaptive_graph_of_thoughts.main:app", host=settings.app.host, port=settings.app.port, log_level=settings.app.log_level.lower(), reload=settings.app.uvicorn_reload, workers=settings.app.uvicorn_workers, ) if __name__ == "__main__": import asyncio asyncio.run(run_server())

MCP directory API

We provide all the information about MCP servers via our MCP API.

curl -X GET 'https://glama.ai/api/mcp/v1/servers/SaptaDey/Adaptive-Graph-of-Thoughts-MCP-server'

If you have feedback or need assistance with the MCP directory API, please join our Discord server