modelcontextprotocol / modelcontextprotocol/python-sdk
Server hangs when shutting down if a connection is still open
Dieses Issue hat noch niemand übernommen.
- Vorherrschende Sprache
- Python
- Sterne
- 24.3k
- Forks
- 4k
- Ø Merge
- 1 T. 1 Std.
- Gemergte PRs (30 T.)
- 31
Beschreibung
Initial Checks
- I confirm that I'm using the latest version of MCP Python SDK
- I confirm that I searched for my issue in https://github.com/modelcontextprotocol/python-sdk/issues before opening this issue
Description
Hello!
I was testing my MCP server with the inspector npx @modelcontextprotocol/inspector using streamable-http and I noticed that if the inspector is connected, the MCP Server will not shutdown.
We can't keep the server running if a client forgot to disconnect right? This is tested with the official inspector tools, so there might be other clients working the same way.
Shouldn't the server close its active connections/tasks on shutdown?
Reproduction
- Run the server (see code snippet)
- In the MCP Inspector click "connect"
- In the server's terminal hit CTRL+C
At this point
- The server shows
Waiting for connections to close (CTRL+C to force quit)and CTRL+C doesn't work, in fact nothing works except killing the process - Clicking "Disconned" in the Inspector cannot disconnect, because
Error in /mcp route: TypeError: fetch failed
Evidences
Shell execution
$ python demo-mcp.py
INFO: Started server process [10749]
INFO: Waiting for application startup.
[08/14/25 11:03:16] INFO StreamableHTTP session manager started streamable_http_manager.py:110
INFO: Application startup complete.
INFO: Uvicorn running on http://127.0.0.1:8000 (Press CTRL+C to quit)
[08/14/25 11:03:21] INFO Created new transport with session ID: 4134f60ccda44baf8a01733ed94bc0d8 streamable_http_manager.py:233
INFO: 127.0.0.1:54629 - "POST /mcp HTTP/1.1" 200 OK
INFO: 127.0.0.1:54629 - "POST /mcp HTTP/1.1" 202 Accepted
INFO: 127.0.0.1:54630 - "GET /mcp HTTP/1.1" 200 OK
^CINFO: Shutting down
INFO: Waiting for connections to close. (CTRL+C to force quit)
Inspector proxy Disconnect error
Received DELETE message for sessionId dd8a78d2-d5a8-4ff2-b679-6a8571f7cd0c
Connection refused. Is the MCP server running?
Error in /mcp route: TypeError: fetch failed
at node:internal/deps/undici/undici:13502:13
at process.processTicksAndRejections (node:internal/process/task_queues:105:5)
at async StreamableHTTPClientTransport.terminateSession (file://.../.npm/_npx/5a9d879542beca3a/node_modules/@modelcontextprotocol/sdk/dist/esm/client/streamableHttp.js:355:30)
at async file://.../.npm/_npx/5a9d879542beca3a/node_modules/@modelcontextprotocol/inspector/server/build/index.js:264:17 {
[cause]: Error: connect ECONNREFUSED 127.0.0.1:8000
at TCPConnectWrap.afterConnect [as oncomplete] (node:net:1636:16) {
errno: -61,
code: 'ECONNREFUSED',
syscall: 'connect',
address: '127.0.0.1',
port: 8000
}
}
Mitigation
Setting the timeout_graceful_shutdown uvicorn config to a few seconds will eventually quit the process, BUT this is exiting with a non 0 exit code, which is an issue trying to run this in production. (This setting has been request here and currently available in FastMCP 2.0)
Example Code
from mcp.server.fastmcp import FastMCP
mcp = FastMCP("demo")
@mcp.tool()
async def hello() -> str:
return "world"
mcp.run(transport="streamable-http")
Python & MCP Python SDK
Python 3.12.8
mcp 1.12.4
Edit: reproduced with mcp 1.13.0
Beitragsleitfaden
Erste Schritte
- Lies das ganze Issue und danach den Beitragsleitfaden des Projekts.
- Schreib ins Issue, dass du es übernimmst — das erspart doppelte Arbeit.
- Forke das Repository und arbeite in einem Branch.
- Öffne einen Pull Request, der die Issue-Nummer nennt.
Rechercherichtung
Reproduziere das Herunterfahrverhalten mit dem bereitgestellten FastMCP streamable-http-Beispiel und untersuche die in den Logs gezeigte Sitzungsbehandlung in streamable_http_manager.py. Verfolge, wie aktive Verbindungen und Tasks während des Herunterfahrens behandelt werden, und überprüfe anschließend, dass CTRL+C ordnungsgemäß beendet wird, während der Inspector verbunden bleibt.
Vom Indexierungsmodell aus dem Issue-Text verfasst.
Bewertung
- Tech-Stack
- python
- Bereich
- api, backend
- Issue-Typ
- Bug
- Schwierigkeit
- 4/5
- Geschätzter Aufwand
- 3-5 Tage
- Aktivitätsstatus
- Veraltet
- Klarheit
- Größtenteils klar
- Anfängerfreundlichkeit
- 45/100