modelcontextprotocol / modelcontextprotocol/python-sdk
Streamable HTTP client stays closed after an interrupted response and raises ExceptionGroup on cleanup
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Descripción
Description
With the current 2.x release, one interrupted Streamable HTTP tool response permanently closes the Python client session. The failing request is reported, but a subsequent normal request on the same client fails with MCPError: Connection closed. Exiting streamable_http_client(...) then raises an unhandled ExceptionGroup from its background task group.
The same MCP server remains healthy. Under the identical sequence, @modelcontextprotocol/sdk@1.30.0 reports the interrupted request and successfully completes the next ping on the same client.
Expected behavior
The interrupted request should fail, while a subsequent request should be able to use a fresh HTTP connection and succeed. Transport cleanup should not raise an additional ExceptionGroup.
Actual behavior
disconnectinterrupts its active HTTP response.- Python reports the request failure.
- A following
pingfails immediately withMCPError: Connection closed. - Context cleanup raises
ExceptionGroup: unhandled errors in a TaskGroupwhose nested cause ishttpx2.RemoteProtocolError: Server disconnected without sending a response.
Comparison
The official TypeScript client 1.30.0 receives TypeError: fetch failed for the deliberately interrupted request, then successfully sends ping through the same client. This suggests the server remains available and the problem is in Python client recovery/cleanup.
I also searched the existing issues. #3494 concerns a server-side incomplete SSE body during initialize, and #3441 concerns an unresolved 1.x request; neither appears to cover this v2 same-client recovery failure.
Minimal reproduction
# Terminal 1
npx mcp-failure-lab@0.9.0 serve --transport http --host 127.0.0.1 --port 43118 --path /mcp
# Terminal 2: save as repro.py, then run: python repro.py
import anyio
from mcp import ClientSession
from mcp.client.streamable_http import streamable_http_client
URL = "http://127.0.0.1:43118/mcp"
async def main():
try:
async with streamable_http_client(URL) as streams:
async with ClientSession(
streams[0], streams[1], read_timeout_seconds=1.0
) as session:
await session.initialize()
try:
await session.call_tool(
"disconnect", {}, read_timeout_seconds=0.6
)
except BaseException as error:
print("disconnect:", type(error).__name__, error)
# Expected: succeeds. Actual: MCPError: Connection closed
print("ping:", await session.call_tool("ping", {}))
except BaseException as error:
# Actual: ExceptionGroup from streamable_http_client cleanup
print("cleanup:", type(error).__name__, error)
anyio.run(main)
Environment
Python 3.12.14; mcp 2.2.0; macOS arm64. Server: mcp-failure-lab 0.9.0; protocol 2026-07-28.
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 el punto de entrada streamable_http_client en mcp.client.streamable_http y ejecuta el repro.py proporcionado contra mcp-failure-lab. Rastrea cómo afecta la respuesta de desconexión interrumpida al cliente y a la limpieza del grupo de tareas; se considera terminado cuando se informa del fallo de desconexión, un ping posterior tiene éxito en el mismo cliente y la salida del contexto no lanza ninguna ExceptionGroup.
Escrito por el modelo de indexación a partir del texto del issue.
Evaluación
- Stack tecnológico
- python
- Área
- api
- Tipo de issue
- Error
- Dificultad
- 3/5
- Tiempo estimado
- 1-2 días
- Estado de actividad
- Activo
- Claridad
- Bien especificado
- Aptitud para principiantes
- 72/100