modelcontextprotocol / modelcontextprotocol/python-sdk

OAuthClientProvider auth lock is permanently poisoned when httpx closes async_auth_flow from a different task (RuntimeError: The current task is not holding this lock)

Aberta Para iniciantes
#3,382 4 comentários 0 reações 0 responsáveis Ver no GitHub

Ninguém assumiu esta issue ainda.

v1 v2
Linguagem predominante
Python
Estrelas
24.3k
Forks
4k
Merge médio
1d 1h
PRs com merge (30d)
31

Descrição

Summary

OAuthClientProvider.async_auth_flow holds self.context.lock (an anyio.Lock) across the entire httpx auth-flow generator, including every yield (src/mcp/client/auth/oauth2.py:582 in v2.0.0; same code is present on v2.1.0 and main). anyio.Lock.release() is bound to the acquiring task. When httpx closes the auth generator from a different task than the one that advanced it — which happens routinely when a request is cancelled mid-flight (network drop, timeout, task-group teardown) — the async with __aexit__ runs in the closing task and raises:

RuntimeError: The current task is not holding this lock

The exception escapes into a fire-and-forget teardown task ("Task exception was never retrieved"), and the lock is left permanently held. Every subsequent request through the same OAuthClientProvider then blocks forever at async with self.context.lock: without sending any HTTP. For a long-lived client that reuses the provider across reconnects, that server is dead until the whole process restarts.

Environment

  • mcp 2.0.0 (reproduced; the same async with self.context.lock: pattern is unchanged in 2.1.0 and on main)
  • Python 3.11.15, macOS (darwin), anyio 4.14.2, asyncio backend
  • Long-lived agent process (Nous Research Hermes) with OAuth-backed streamable-HTTP MCP servers; surfaced downstream as NousResearch/hermes-agent#81051

Observed traceback

Two captures from the same host, one per yield point (authorization-code exchange and the main yield request):

ERROR asyncio: Task exception was never retrieved
future: <Task finished name='Task-598' coro=<<async_generator_athrow without __name__>()> exception=RuntimeError('The current task is not holding this lock')>
Traceback (most recent call last):
  File ".../site-packages/mcp/client/auth/oauth2.py", line 754, in async_auth_flow
    yield request
GeneratorExit

During handling of the above exception, another exception occurred:

Traceback (most recent call last):
  File ".../site-packages/mcp/client/auth/oauth2.py", line 582, in async_auth_flow
    async with self.context.lock:
  File ".../site-packages/anyio/_core/_synchronization.py", line 173, in __aexit__
    self.release()
  File ".../site-packages/anyio/_backends/_asyncio.py", line 1935, in release
    raise RuntimeError("The current task is not holding this lock")
RuntimeError: The current task is not holding this lock

(The other capture is identical except the GeneratorExit lands at line 746, token_response = yield await self._perform_authorization().)

After this fires, every reconnect attempt for that server times out with no HTTP traffic — the flow generator never gets past line 582.

Minimal reproduction (no network needed)

import asyncio
import httpx2
from mcp.client.auth.oauth2 import OAuthClientProvider
from mcp.shared.auth import OAuthClientMetadata


class MemStorage:
    async def get_tokens(self): return None
    async def set_tokens(self, tokens): pass
    async def get_client_info(self): return None
    async def set_client_info(self, client_info): pass


async def main():
    provider = OAuthClientProvider(
        server_url="https://example.invalid/mcp",
        client_metadata=OAuthClientMetadata(redirect_uris=["http://localhost:1/callback"]),
        storage=MemStorage(),
    )

    # Task A: advance the flow. With no stored tokens it suspends at
    # `response = yield request`, still inside `async with context.lock`.
    flow = provider.async_auth_flow(httpx2.Request("POST", "https://example.invalid/mcp"))
    await flow.asend(None)

    # Task B: httpx tears the stream down from a different task on
    # cancellation, closing the generator there.
    try:
        await asyncio.get_running_loop().create_task(flow.aclose())
    except RuntimeError as exc:
        print(f"aclose raised: {exc!r}")            # <- fires

    print("lock still held:", provider.context.lock.locked())   # True

    # The "reconnect" — blocks forever at line 582:
    flow2 = provider.async_auth_flow(httpx2.Request("POST", "https://example.invalid/mcp"))
    try:
        await asyncio.wait_for(flow2.asend(None), timeout=2)
        print("second flow proceeds")
    except asyncio.TimeoutError:
        print("second flow BLOCKED on poisoned lock")           # <- happens
    finally:
        await flow2.aclose()

asyncio.run(main())

Output on 2.0.0:

aclose raised: RuntimeError('The current task is not holding this lock')
lock still held: True
second flow BLOCKED on poisoned lock

Root cause

anyio.Lock is task-bound by design; httpx makes no guarantee that the auth-flow generator is closed from the task that advanced it (cancellation/teardown commonly runs aclose() from a sibling task). Holding a task-bound lock across the generator's yields therefore poisons the lock on any cross-task close: the release both raises and never happens.

Suggested fix

Serializing the auth flow per-context is still needed (token refresh must not race), but the primitive must allow release from the closing task. Options:

  1. Use anyio.Semaphore(1) instead of anyio.Lock for OAuthContext.lock. anyio semaphores are not owner-bound, so release from the closing task is legal on both asyncio and trio backends. One-line change in the OAuthContext dataclass plus the async with keeps working.
  2. Alternatively, wrap the generator body so GeneratorExit/cross-task unwind releases via a tolerant path (catch the ownership RuntimeError and force the lock back to a released state), though anyio has no public API for that today.

Happy to send a PR for option 1 if that direction is acceptable.

Guia de contribuição

Abrir o guia de contribuição

Primeiros passos

  1. Leia a issue inteira e depois o guia de contribuição do projeto.
  2. Comente na issue dizendo que vai assumir — evita que duas pessoas façam o mesmo trabalho.
  3. Faça um fork do repositório e trabalhe em uma branch.
  4. Abra um pull request que referencie o número da issue.

Direção de pesquisa

Comece em src/mcp/client/auth/oauth2.py, em OAuthContext e OAuthClientProvider.async_auth_flow, e depois execute a reprodução mínima da issue. Verifique se fechar o flow a partir de outra task não gera uma exceção nem deixa o contexto bloqueado, e se um flow subsequente prossegue em vez de bloquear.

Escrita pelo modelo de indexação a partir do texto da issue.

Avaliação

Stack de tecnologia
python
Domínio
api, authentication
Tipo de issue
Bug
Dificuldade
2/5
Tempo estimado
1-3 horas
Status de atividade
Ativa
Clareza
Claramente especificada
Facilidade para iniciantes
82/100

Receba novas issues na sua caixa de entrada

Um resumo curto de issues do GitHub para quem está começando.