modelcontextprotocol / modelcontextprotocol/python-sdk
StreamableHTTP: a client disconnect while reading the POST body is logged as an exception and answered 500
Nobody has claimed this yet.
- Dominant language
- Python
- Stars
- 24.3k
- Forks
- 4k
- Avg merge
- 1d 1h
- Merged PRs (30d)
- 31
Description
Initial Checks
- I confirm that I'm using the newest release of my line (the latest 2.x, or the latest 1.x if I'm still on v1)
- I confirm that I searched for my issue in https://github.com/modelcontextprotocol/python-sdk/issues before opening this issue
Release line
2.x (current stable), and the same on 1.28.1
Description
StreamableHTTPServerTransport._handle_post_request reads the request body inside its blanket except Exception. When the client goes away before the body arrives, await request.body() raises starlette.requests.ClientDisconnect, the transport logs it with logger.exception("Error handling POST request") and answers 500. That is a normal network event on a public MCP endpoint (mobile clients, proxies with short timeouts, health probes), and it lands as an unhandled server error with a stack trace in every log aggregator. #2064 / #2257 handled the disconnect in _handle_message; this is the earlier point, in streamable_http.py (the body = await request.body() line and the except Exception as err below it). The SSE transport has no handling for it either.
Example Code
import asyncio
import importlib.metadata as md
import logging
from mcp.server.streamable_http import StreamableHTTPServerTransport
records = []
class Capture(logging.Handler):
def emit(self, record):
records.append(record)
logging.getLogger("mcp").addHandler(Capture())
logging.getLogger("mcp").setLevel(logging.DEBUG)
async def main():
transport = StreamableHTTPServerTransport(mcp_session_id=None)
scope = {
"type": "http", "method": "POST", "path": "/mcp", "query_string": b"", "headers": [
(b"content-type", b"application/json"),
(b"accept", b"application/json, text/event-stream"),
(b"content-length", b"58"),
],
}
async def receive(): # the client went away before sending its body
return {"type": "http.disconnect"}
sent = []
async def send(message):
sent.append(message)
async with transport.connect():
try:
await asyncio.wait_for(transport.handle_request(scope, receive, send), timeout=5)
except asyncio.TimeoutError:
print("handle_request did not return within 5s")
status = next((m["status"] for m in sent if m["type"] == "http.response.start"), None)
print(f"mcp {md.version('mcp')}: response status = {status}")
for r in records:
if r.levelno >= logging.ERROR:
print(f" logged {r.levelname} by {r.name}: {r.getMessage()} | exc: {type(r.exc_info[1]).__name__ if r.exc_info else None}")
try:
asyncio.run(asyncio.wait_for(main(), timeout=15))
except asyncio.TimeoutError:
print("main did not finish within 15s")
Output on 1.28.1 and 2.1.1:
mcp 2.1.1: response status = 500
logged ERROR by mcp.server.streamable_http: Error handling POST request | exc: ClientDisconnect
(The script caps handle_request at 5 s because the stub send / receive is not a real ASGI server; the 500 and the log line are sent before that.)
Expected: ClientDisconnect caught before the generic handler, logged at debug or info, and no response attempted, since there is nobody to answer.
Python & MCP Python SDK
Python 3.12.13, mcp 1.28.1 and 2.1.1, starlette 1.3.1, macOS
Contributor guide
First steps
- Read the whole issue, then the project's contributing guide.
- Comment on the issue to say you are picking it up — it saves two people doing the same work.
- Fork the repository and make your change on a branch.
- Open a pull request that references the issue number.
Research direction
Start in mcp/server/streamable_http.py at StreamableHTTPServerTransport._handle_post_request, especially the body = await request.body() line and the following generic exception handler. Compare the existing disconnect handling in _handle_message referenced by #2064 and #2257. Done means ClientDisconnect is handled without an error stack trace or 500 response, and regression coverage verifies the behavior.
Written by the indexing model from the issue text.
Assessment
- Tech stack
- python
- Domain
- api, backend
- Issue type
- Bug
- Difficulty
- 2/5
- Estimated time
- 1-3 hours
- Activity status
- Active
- Clarity
- Clearly specified
- Newbie friendliness
- 78/100