Skip to main content
Glama
bitgeese

Sequential Questioning MCP Server

by bitgeese
main.py1.63 kB
from fastapi import FastAPI, Depends from fastapi_mcp import FastApiMCP from app.core.config import get_settings, Settings from app.api import api_router from app.mcp import mcp_router from app.core.monitoring import metrics from app.core.logging import app_logger # Create FastAPI app def create_app() -> FastAPI: # Get settings settings = get_settings() # Initialize application app = FastAPI( title=settings.APP_NAME, description="A Sequential Questioning MCP Server for facilitating multi-round questioning", version=settings.APP_VERSION, debug=settings.DEBUG, ) # Setup API routes app.include_router(api_router) # Setup MCP routes (outside of MCP server) app.include_router(mcp_router) # Initialize MCP server mcp = FastApiMCP( app, name=f"{settings.APP_NAME} MCP", include_tags=["mcp"], # Only expose endpoints with the 'mcp' tag include_operations=[ "sequential_questioning", "sequential_questioning_follow_up", "sequential_questioning_automatic" ] # Use only operation IDs for tool names, avoiding hyphens ) # Mount MCP server mcp.mount() # Health check endpoint @app.get("/health") async def health_check(): app_logger.info("Health check request received") return {"status": "ok", "version": settings.APP_VERSION} # Log application startup app_logger.info(f"Application {settings.APP_NAME} v{settings.APP_VERSION} started") return app # Create app instance app = create_app()

Latest Blog Posts

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/bitgeese/sequential-questioning'

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