Bug: AssertionError: Request already responded to — cancellation race in v1.27.0

Initial Checks

• I confirm that I'm using the latest version of MCP Python SDK
• I confirm that I searched for my issue in https://github.com/modelcontextprotocol/python-sdk/issues before opening this issue

Description

Bug: AssertionError: Request already responded to — cancellation race in v1.27.0

AssertionError: Request already responded to when CancelledNotification arrives after handler completes but before respond()

Description

When a client sends a notifications/cancelled for a request whose handler has already finished executing but hasn't yet called message.respond(), the server crashes with AssertionError: Request already responded to.

PR #2334 (v1.27.0) fixed the ClosedResourceError crash path by catching CancelledError in _handle_request and guarding respond() against BrokenResourceError/ClosedResourceError. However, it left a race window between handler completion and respond() where a cancellation notification can set _completed = True first, causing the assert on line 129 of session.py to fire.

Reproduction scenario

1. Client sends a tools/call request with a long-running handler (e.g. polling with 600s timeout)
2. Handler completes and returns a result
3. Between the handler's return and the await message.respond(response) call in _handle_request, the client sends notifications/cancelled for that same request ID
4. The cancellation notification handler (session.py:403-406) calls responder.cancel(), which:
   • Calls _cancel_scope.cancel()
   • Sets _completed = True
   • Sends an error response "Request cancelled"
5. Back in _handle_request, execution reaches await message.respond(response) at server.py:800
6. respond() hits assert not self._completed at session.py:129 → crash

The cancel_scope.cancel() only raises CancelledError if the task is currently in an await. Since the handler already returned, the code path between the handler return and respond() is synchronous — no checkpoint where CancelledError can be delivered. The except anyio.get_cancelled_exc_class() guard at server.py:773 never fires.

Stack trace

ExceptionGroup: unhandled errors in a TaskGroup (1 sub-exception)
  +-+---------------- 1 ----------------
    | ExceptionGroup: unhandled errors in a TaskGroup (1 sub-exception)
    +-+---------------- 1 ----------------
      | ExceptionGroup: unhandled errors in a TaskGroup (1 sub-exception)
      +-+---------------- 1 ----------------
        | Traceback (most recent call last):
        |   File "mcp/server/lowlevel/server.py", line 703, in _handle_message
        |     await self._handle_request(message, req, session, lifespan_context, raise_exceptions)
        |   File "mcp/server/lowlevel/server.py", line 800, in _handle_request
        |     await message.respond(response)
        |   File "mcp/shared/session.py", line 129, in respond
        |     assert not self._completed, "Request already responded to"
        | AssertionError: Request already responded to
        +------------------------------------

Impact

This crashes the entire MCP server process, killing all in-flight requests. In our case, the server manages multiple long-running background agents, so a crash loses all active work. The crash is triggered by normal client behavior (user cancels an operation), making it a reliability issue rather than an edge case.

Related

• #2328 — original ClosedResourceError report
• #2334 — v1.x fix (covers ClosedResourceError but not this assert race)
• #2306 — main branch transport-close cancellation

Example Code

The race window in `_handle_request` (`server.py:719`):


# Line 770: handler completes, returns response
response = await handler(req)

# ... exception handling ...

# Line 799-800: GAP — between handler return and respond(),
# a CancelledNotification can arrive on another task and call
# responder.cancel(), setting _completed = True and sending
# an error response. No await in this gap means no CancelledError
# can be delivered.
try:
    await message.respond(response)  # <-- assert fires here
except (anyio.BrokenResourceError, anyio.ClosedResourceError):
    ...


The `except anyio.get_cancelled_exc_class()` at line 773 correctly handles the case where the cancellation arrives *during* handler execution. But it cannot handle cancellation that arrives *after* the handler returns, because there's no async checkpoint between the handler return and `respond()`.

## Suggested fix

In `session.py`, change `respond()` to handle the already-completed case gracefully instead of asserting:


async def respond(self, response: SendResultT | ErrorData) -> None:
    if not self._entered:
        raise RuntimeError("RequestResponder must be used as a context manager")
    
    # If already completed (e.g. by a concurrent cancellation), skip silently.
    if self._completed:
        return

    if not self.cancelled:
        self._completed = True
        await self._session._send_response(
            request_id=self.request_id, response=response
        )


Alternatively, the guard could be added in `_handle_request` before calling `respond()`:


if not message._completed:
    try:
        await message.respond(response)
    except (anyio.BrokenResourceError, anyio.ClosedResourceError):
        logger.debug("Response for %s dropped - transport closed", message.request_id)


The first approach (in `respond()` itself) is more robust since it closes the race for all callers.

Python & MCP Python SDK

- `mcp` 1.27.0
- Python 3.14
- anyio (asyncio backend)
- FastMCP stdio transport
- Client: Claude Code 2.1.92

Empieza en mcp/shared/session.py, en RequestResponder.respond(), y en mcp/server/lowlevel/server.py, en _handle_request y en el handler de cancelación alrededor de las líneas 403-406. Reproduce la condición de carrera completando un handler de tools/call de larga duración mientras envías notifications/cancelled; después, inspecciona cómo se gestiona la finalización concurrente. Se considera terminado cuando el servidor ya no genera AssertionError y la cancelación produce como máximo una respuesta sin provocar el fallo del trabajo en curso.