Streamable_ ttp. py shows warning #1294

import contextlib
import logging
from collections.abc import AsyncIterator
from typing import Any

import anyio
import click
import mcp.types as types
from mcp.server.lowlevel import Server
from mcp.server.streamable_http_manager import StreamableHTTPSessionManager
from starlette.applications import Starlette
from starlette.middleware.cors import CORSMiddleware
from starlette.routing import Mount
from starlette.types import Receive, Scope, Send

logger = logging.getLogger(__name__)


def main(
    port: int,
    log_level: str,
    json_response: bool,
) -> int:
    # Configure logging
    logging.basicConfig(
        level=getattr(logging, log_level.upper()),
        format="%(asctime)s - %(name)s - %(levelname)s - %(message)s",
    )

    app = Server("mcp-streamable-http-stateless-demo")

    @app.call_tool()
    async def call_tool(name: str, arguments: dict[str, Any]) -> list[types.ContentBlock]:
        ctx = app.request_context
        interval = arguments.get("interval", 1.0)
        count = arguments.get("count", 5)
        caller = arguments.get("caller", "unknown")

        # Send the specified number of notifications with the given interval
        for i in range(count):
            await ctx.session.send_log_message(
                level="info",
                data=f"Notification {i + 1}/{count} from caller: {caller}",
                logger="notification_stream",
                related_request_id=ctx.request_id,
            )
            if i < count - 1:  # Don't wait after the last notification
                await anyio.sleep(interval)

        return [
            types.TextContent(
                type="text",
                text=(f"Sent {count} notifications with {interval}s interval for caller: {caller}"),
            )
        ]

    @app.list_tools()
    async def list_tools() -> list[types.Tool]:
        return [
            types.Tool(
                name="start-notification-stream",
                description=("Sends a stream of notifications with configurable count and interval"),
                inputSchema={
                    "type": "object",
                    "required": ["interval", "count", "caller"],
                    "properties": {
                        "interval": {
                            "type": "number",
                            "description": "Interval between notifications in seconds",
                        },
                        "count": {
                            "type": "number",
                            "description": "Number of notifications to send",
                        },
                        "caller": {
                            "type": "string",
                            "description": ("Identifier of the caller to include in notifications"),
                        },
                    },
                },
            )
        ]

    # Create the session manager with true stateless mode
    session_manager = StreamableHTTPSessionManager(
        app=app,
        event_store=None,
        json_response=json_response,
        stateless=True,
    )

    async def handle_streamable_http(scope: Scope, receive: Receive, send: Send) -> None:
        await session_manager.handle_request(scope, receive, send)

    @contextlib.asynccontextmanager
    async def lifespan(app: Starlette) -> AsyncIterator[None]:
        """Context manager for session manager."""
        async with session_manager.run():
            logger.info("Application started with StreamableHTTP session manager!")
            try:
                yield
            finally:
                logger.info("Application shutting down...")

    # Create an ASGI application using the transport
    starlette_app = Starlette(
        debug=True,
        routes=[
            Mount("/mcp", app=handle_streamable_http),
        ],
        lifespan=lifespan,
    )

    # Wrap ASGI application with CORS middleware to expose Mcp-Session-Id header
    # for browser-based clients (ensures 500 errors get proper CORS headers)
    starlette_app = CORSMiddleware(
        starlette_app,
        allow_origins=["*"],  # Allow all origins - adjust as needed for production
        allow_methods=["GET", "POST", "DELETE"],  # MCP streamable HTTP methods
        expose_headers=["Mcp-Session-Id"],
    )

    import uvicorn

    uvicorn.run(starlette_app, host="0.0.0.0", port=port)

    return 0

if __name__ == "__main__":
    main(8001,"debug",True)  # Run the main function when this script is executed