modelcontextprotocol / modelcontextprotocol/python-sdk

Streamable HTTP client stays closed after an interrupted response and raises ExceptionGroup on cleanup

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v1 v2
Lenguaje dominante
Python
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Forks
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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
  1. disconnect interrupts its active HTTP response.
  2. Python reports the request failure.
  3. A following ping fails immediately with MCPError: Connection closed.
  4. Context cleanup raises ExceptionGroup: unhandled errors in a TaskGroup whose nested cause is httpx2.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

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 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

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