modelcontextprotocol / modelcontextprotocol/python-sdk
RequestResponder.__exit__ leaks CancelledError on cancelled request, killing the stdio receive loop
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Descrição
Summary
When a client sends notifications/cancelled for an in-flight request handled over stdio, the server's receive loop task group dies. The process stays alive but stops reading stdin, so every subsequent request hangs and the client eventually reports MCP error -32000: Connection closed. The bug is racy — it reproduces in roughly 40–80% of attempts depending on platform timing.
Affects: mcp 1.26.0 and 1.27.1 (latest at time of writing). Confirmed with FastMCP 3.1.x and the in-tree stdio server.
Reproduction
A standalone subprocess test is in mlorentedev/hive tests/test_transport_recovery.py. The relevant flow:
initialize→ acknotifications/initializedtools/call id=2notifications/cancelledforrequestId=2(within a few ms of step 3)- Receive:
{"id": 2, "error": {"code": 0, "message": "Request cancelled"}}← OK tools/call id=3- No response. Server is alive but
proc.stdout.readline()hangs.
Root cause
mcp.shared.session.RequestResponder.__exit__:
def __exit__(self, exc_type, exc_val, exc_tb):
try:
if self._completed:
self._on_complete(self)
finally:
self._entered = False
...
self._cancel_scope.__exit__(exc_type, exc_val, exc_tb) # ← (A)
When notifications/cancelled arrives, RequestResponder.cancel() calls self._cancel_scope.cancel() and sends the error response. The handler task catches the CancelledError in mcp/server/lowlevel/server.py (around line 766) and returns. The with responder: block then exits with exc_type=None while the cancel scope is still in cancelled state — at line (A), anyio's CancelScope.__exit__ re-raises CancelledError.
That exception bubbles up to:
async with anyio.create_task_group() as tg:
async for message in session.incoming_messages:
tg.start_soon(self._handle_message, ...)
…in Server._run. anyio task groups cancel all sibling tasks and propagate the cancellation. The receive loop is one of those sibling tasks, so it dies.
Suggested fix
Swallow the spurious cancellation when the responder has already sent its response:
def __exit__(self, exc_type, exc_val, exc_tb):
try:
if self._completed:
self._on_complete(self)
finally:
self._entered = False
if not self._cancel_scope:
raise RuntimeError("No active cancel scope")
try:
self._cancel_scope.__exit__(exc_type, exc_val, exc_tb)
except BaseException as exc:
if self._completed and isinstance(exc, anyio.get_cancelled_exc_class()):
# cancel() already sent the error response — the scope's
# re-raised cancellation is spurious.
return
raise
Mirrors what we ship in hive src/hive/_compat.py.
Workaround used downstream
We monkey-patch RequestResponder.__exit__ at import time. The patch is self-gated (only fires when _completed=True AND the leaking exception is anyio.get_cancelled_exc_class()), so it stays inert once a fix lands upstream.
Environment
- Reproduced on Windows 11 (
mcp1.26.0, 1.27.1) and via Claude Code as the host. - Tracked downstream in mlorentedev/hive#75.
- Regression test passes 5/5 with the patch applied on Python 3.12; fails 2/5 — 4/5 without it.
- Python 3.13 appears to have additional uncancel semantics that the patch does not yet fully cover — verification in progress.
Guia de contribuição
Primeiros passos
- Leia a issue inteira e depois o guia de contribuição do projeto.
- Comente na issue dizendo que vai assumir — evita que duas pessoas façam o mesmo trabalho.
- Faça um fork do repositório e trabalhe em uma branch.
- Abra um pull request que referencie o número da issue.
Direção de pesquisa
Comece em mcp.shared.session.RequestResponder.exit e inspecione o tratamento de cancelamento em torno de mcp/server/lowlevel/server.py, próximo à linha 766. Reproduza com tests/test_transport_recovery.py e, em seguida, verifique se cancelar uma solicitação stdio ainda produz sua resposta de erro e se uma solicitação subsequente recebe uma resposta sem que o loop de recebimento pare.
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Avaliação
- Stack de tecnologia
- python
- Domínio
- api, backend
- Tipo de issue
- Bug
- Dificuldade
- 3/5
- Tempo estimado
- 1-2 dias
- Status de atividade
- Pouca atividade
- Clareza
- Claramente especificada
- Facilidade para iniciantes
- 68/100