modelcontextprotocol / modelcontextprotocol/python-sdk

mcp.server.fastmcp.FastMCP HTTP transport deadlocks after ~5 sequential client sessions on Windows (companion to PrefectHQ/fastmcp#4192)

Abierto
#2,653 3 comentarios 0 reacciones 0 asignados Ver en GitHub

Nadie ha tomado este issue todavía.

bug needs repro
Lenguaje dominante
Python
Estrellas
24.3k
Forks
4k
Merge medio
1 d 1 h
PR fusionados (30 d)
31

Descripción

mcp.server.fastmcp.FastMCP HTTP transport deadlocks after ~5 sequential client sessions on Windows (companion to PrefectHQ/fastmcp#4192)

Summary

Filing here as a companion to PrefectHQ/fastmcp#4192, which contains the full investigation, cross-control matrix, stack-dump evidence, and minimal reproducers. The reason for the companion issue: the bug reproduces on Anthropic's mcp.server.fastmcp.FastMCP shipped inside this SDK, faster than on PrefectHQ's downstream fork, and the SDK maintainers should see the signal directly rather than having to chase a downstream cross-reference.

The one-line result that's yours

A 30-sequential-session driver running against an HTTP server built with mcp.server.fastmcp.FastMCP 1.27.1 on Windows + Python 3.14 hangs at session #5, with gradual slowdown visible from session #4 onwards. The same driver against PrefectHQ fastmcp.FastMCP 3.3.1 hangs at session #12; against raw mcp.server.lowlevel.Server it passes 30/30; against the Node.js TypeScript reference server (@modelcontextprotocol/server-everything) it passes 30/30.

That is: this SDK's FastMCP wrapper exhibits the defect more aggressively than the downstream fork, and the SDK's own lower-level surface is unaffected.

Cross-control matrix (excerpt; full matrix in PrefectHQ/fastmcp#4192)

Server Python Sessions before hang
mcp.server.fastmcp.FastMCP 1.27.1 3.14 5
mcp.server.fastmcp.FastMCP 1.27.1 3.13.7 12
fastmcp.FastMCP 3.3.1 (PrefectHQ) 3.14 12
mcp.server.lowlevel.Server + StreamableHTTPSessionManager 3.14 30/30 ✅
@modelcontextprotocol/server-everything (Node.js streamableHttp) n/a 30/30 ✅

Python-version variance rules out a 3.14 regression. The Node.js control rules out a protocol-level defect. The raw-SDK control rules out the SDK's lower-level transport.

Mechanism (per stack-dump evidence in #4192)

python -m asyncio ps <PID> on the hung server process shows multiple Task entries (one per "closed" session) parked in TaskGroup.__aexit__, all with child tasks named sse_starlette.sse.EventSourceResponse.__call__.<locals>.cancel_on_finish blocked in Event.wait / sleep on _ping, _listen_for_disconnect, _stream_response, and the SDK's standalone_sse_writer.

mcp.server.fastmcp.FastMCP.create_streamable_http_app instantiates EventSourceResponse from sse_starlette as part of its ASGI app construction. The raw mcp.server.lowlevel.Server path writes text/event-stream directly via its own ASGI write loop without ever instantiating EventSourceResponse — which is why it isn't affected. The defect is in the wrapper layer's interaction with sse_starlette, not the SDK's core transport.

Reproducers

Two minimal reproducers in the PrefectHQ issue: one for PrefectHQ FastMCP, one for raw SDK (the passing control). A third targeting mcp.server.fastmcp.FastMCP directly is trivially derivable — same shape, different import — and I'm happy to add it here if useful.

Why the cap is lower on this SDK's wrapper

Working hypothesis (not yet verified): mcp.server.fastmcp.FastMCP and PrefectHQ's fastmcp.FastMCP use slightly different sse_starlette integration shapes. Either version-pin differences, or an extra layer of session-lifecycle handling in one wrapper that creates more orphan tasks per session, would explain why the threshold lands at 5 here vs 12 downstream. Confirming this would need a side-by-side diff of the two wrappers' create_streamable_http_app paths and sse_starlette versions, which I haven't done.

Platform / environment

  • Windows 11 (ProactorEventLoop)
  • Python 3.14 and 3.13.7
  • mcp 1.27.1 (the SDK that ships mcp.server.fastmcp.FastMCP)
  • Linux not validated — PrefectHQ's public CI runs Linux + Python 3.12 where epoll-based loop semantics may drain orphan tasks faster. Maintainer Linux validation requested in #4192; same request stands here.

The question for SDK maintainers

Is mcp.server.fastmcp.FastMCP considered an actively-maintained surface that the SDK team will fix, or is it a thin reference wrapper where PrefectHQ's fork is the canonical production target? The answer changes where the fix should land and whether this issue stays open here or gets closed in favour of #4192.

If it's in-scope here, the cross-controls in #4192 already narrow the surface to "EventSourceResponse integration in the FastMCP wrapper layer." The raw SDK path is the working reference.

Workaround for users of this SDK

Migrate from mcp.server.fastmcp.FastMCP to mcp.server.lowlevel.Server + manually-constructed StreamableHTTPSessionManager + Starlette + uvicorn. ~1 day's mechanical rewrite for a server with ~7 tools. Empirically 30/30 sessions passing on the same workload.

Guía de contribución

Abrir la guía de contribución

Primeros pasos

  1. Lee el issue completo y luego la guía de contribución del proyecto.
  2. Comenta en el issue que vas a ocuparte — evita que dos personas hagan lo mismo.
  3. Haz un fork del repositorio y trabaja en una rama.
  4. Abre un pull request que haga referencia al número del issue.

Línea de trabajo

Comienza en mcp.server.fastmcp.FastMCP.create_streamable_http_app e inspecciona su integración con EventSourceResponse, utilizando la ruta sin procesar de mcp.server.lowlevel.Server como control que funciona. Reproduce el bloqueo de sesiones secuenciales en Windows, compara el comportamiento del wrapper con la evidencia de PrefectHQ/fastmcp#4192 y considera resuelto el problema cuando las sesiones cerradas ya no dejen tareas huérfanas ni provoquen un deadlock después de sesiones repetidas.

Escrito por el modelo de indexación a partir del texto del issue.

Evaluación

Stack tecnológico
python
Área
api, backend, networking
Tipo de issue
Error
Dificultad
4/5
Tiempo estimado
3-5 días
Estado de actividad
Tranquilo
Claridad
Bastante claro
Aptitud para principiantes
42/100

Recibe los nuevos issues en tu correo

Un resumen breve de issues de GitHub para principiantes.