Skip to main content
Glama
server.py1.78 kB
import os from typing import Dict, Any from mcp.server.fastmcp import FastMCP from starlette.middleware.cors import CORSMiddleware import uvicorn from app import getEvents # Initialize MCP server mcp = FastMCP("call-for-papers-mcp") @mcp.tool() async def get_events(keywords: str, limit: int = 10) -> Dict[str, Any]: """Search for conferences matching specific keywords.""" return getEvents(keywords, limit) if __name__ == "__main__": # Check for transport type from environment variable transport = os.getenv("TRANSPORT", "stdio").lower() if transport == "http": # For Smithery deployment, use streamable HTTP transport app = mcp.streamable_http_app() # Add CORS middleware for cross-origin requests from starlette.applications import Starlette from starlette.middleware import Middleware # Wrap the app with CORS middleware app.add_middleware( CORSMiddleware, allow_origins=["*"], allow_credentials=True, allow_methods=["GET", "POST", "OPTIONS"], allow_headers=["*"], expose_headers=["mcp-session-id", "mcp-protocol-version"], max_age=86400, ) # Get port from environment variable port = int(os.getenv("PORT", 8000)) print(f"Starting server on http://0.0.0.0:{port}") print("Available endpoints:") for route in app.routes: print(f" {route.path}") # Run the server uvicorn.run( app, host="0.0.0.0", port=port, log_level="info" ) else: # Default to stdio transport for local development mcp.run(transport="stdio")

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/alperenkocyigit/call-for-papers-mcp'

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