modelcontextprotocol / modelcontextprotocol/python-sdk
FastMCP/stdio: in-flight tool responses dropped on stdin EOF when input is bash-redirected from a file
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Descripción
1. Initial Checks
- I have searched the issue tracker for similar bugs (closest existing: #1933, but that's about premature close of real stdio during shutdown — different failure layer)
- I am using a supported MCP SDK version (pinned
mcp>=1.27,<2)
2. Description
Triage note: checked jlowin/fastmcp (now PrefectHQ fork) — FastMCP's server-side stdio delegates to mcp.server.stdio via a transport mixin, so the bug belongs here in the SDK rather than in the FastMCP wrapper.
When driving a FastMCP stdio server with a file-redirected stdin (e.g. python -m my_server < payload.jsonl > response.jsonl), in-flight tool-call responses can be dropped if their response writer hasn't been scheduled when stdin EOF arrives.
The stdio read loop appears to treat stdin EOF as an immediate-shutdown signal, cancelling pending writer tasks before they flush their JSON-RPC responses to stdout. The failure is silent — no traceback, no log line, the response is simply absent from stdout.
Expected: All responses for processed requests appear on stdout before the server exits.
Actual: Responses for the last-issued requests can be missing entirely.
3. Example Code (minimal reproducible)
# server.py
from mcp.server.fastmcp import FastMCP
import asyncio
mcp = FastMCP("repro")
@mcp.tool()
async def slow_echo(text: str) -> str:
await asyncio.sleep(0.05) # guaranteed yield point so writer scheduling is observable
return text
if __name__ == "__main__":
mcp.run(transport="stdio")
# payload.jsonl
{"jsonrpc":"2.0","id":0,"method":"initialize","params":{"protocolVersion":"2024-11-05","capabilities":{},"clientInfo":{"name":"repro","version":"0.1"}}}
{"jsonrpc":"2.0","method":"notifications/initialized","params":{}}
{"jsonrpc":"2.0","id":1,"method":"tools/call","params":{"name":"slow_echo","arguments":{"text":"first"}}}
{"jsonrpc":"2.0","id":2,"method":"tools/call","params":{"name":"slow_echo","arguments":{"text":"second"}}}
python server.py < payload.jsonl > response.jsonl
# Observed: response.jsonl contains id=0 + id=1 results, id=2 is absent.
The race is timing-sensitive; if id=2 surfaces on the first run, increase the asyncio.sleep delay or run repeatedly. We saw it deterministically in production where the tool body did a real HTTP call (~50-200ms).
Diagnostic fingerprint: the difference between this transport race and a quality bug in the tool itself is absence-of-response vs response-with-empty-result. If you ever see id=N missing entirely (not {"id":N,"result":[]}), suspect this race.
4. Python and MCP Python SDK
- Python: 3.12 (
python:3.12-slimDocker base) - MCP SDK: 1.27.x (
mcp>=1.27,<2) - OS: Linux (Debian Bookworm; reproduced on Synology DSM 7.2 host)
- Transport: stdio via
mcp.run(transport="stdio")
Workaround we shipped (in case it helps the fix design): wrote a Python driver that owns both pipes via subprocess.Popen(stdin=PIPE, stdout=PIPE) and refuses to close stdin until the response for the last-issued id is observed on stdout. ~140 lines stdlib-only.
Suggested fix: before exiting on stdin EOF, await any pending writer tasks (with a small timeout) so their JSON-RPC responses reach stdout before the process terminates.
Guía de contribución
Primeros pasos
- Lee el issue completo y luego la guía de contribución del proyecto.
- Comenta en el issue que vas a ocuparte — evita que dos personas hagan lo mismo.
- Haz un fork del repositorio y trabaja en una rama.
- Abre un pull request que haga referencia al número del issue.
Línea de trabajo
Comienza con la ruta mcp.server.stdio utilizada por mcp.run(transport="stdio") y reproduce el problema con server.py, payload.jsonl y el comando de redirección del shell proporcionados. Sigue el manejo de EOF de stdin y las tareas de escritura pendientes; se considera terminado cuando cada solicitud procesada, incluida la llamada final a la herramienta, produce una respuesta JSON-RPC en stdout antes de salir.
Escrito por el modelo de indexación a partir del texto del issue.
Evaluación
- Stack tecnológico
- python
- Área
- api, backend
- Tipo de issue
- Error
- Dificultad
- 4/5
- Tiempo estimado
- 3-5 días
- Estado de actividad
- Activo
- Claridad
- Bastante claro
- Aptitud para principiantes
- 55/100