Files
openswarm/backend/apps/google_workspace_mcp_shim/run.py
T

53 lines
2.2 KiB
Python

"""Run google-workspace-mcp's stdio worker with token refresh redirected
through our local proxy instead of directly to oauth2.googleapis.com.
google_workspace_mcp.auth.gauth.get_credentials() hardcodes
token_uri="https://oauth2.googleapis.com/token" and refreshes with
whatever GOOGLE_WORKSPACE_CLIENT_ID/SECRET are in env on every API call.
OAuth runs through a rotation pool in openswarm-cloud, so the
refresh_token is bound to whichever pool slot minted it, not the single
client baked into the DMG. Refresh directly against Google with the
wrong client returns unauthorized_client.
This wrapper monkey-patches gauth.get_credentials before the worker
imports its tool modules, pointing token_uri at GOOGLE_WORKSPACE_TOKEN_URI
(our local proxy at /api/tools/google-oauth-token, which forwards refresh
requests to the cloud's pool-aware /api/oauth/google/refresh).
CLIENT_ID/SECRET become unused placeholders.
"""
import functools
import os
import google_workspace_mcp.auth.gauth as gauth
from google.oauth2.credentials import Credentials
@functools.lru_cache(maxsize=1)
def p_patched_get_credentials():
refresh_token = os.environ.get("GOOGLE_WORKSPACE_REFRESH_TOKEN")
if not refresh_token:
raise ValueError("GOOGLE_WORKSPACE_REFRESH_TOKEN env var is required")
return Credentials(
token=None,
refresh_token=refresh_token,
token_uri=os.environ.get(
"GOOGLE_WORKSPACE_TOKEN_URI",
"https://oauth2.googleapis.com/token",
),
client_id=os.environ.get("GOOGLE_WORKSPACE_CLIENT_ID", "openswarm-proxy"),
client_secret=os.environ.get("GOOGLE_WORKSPACE_CLIENT_SECRET", "openswarm-proxy"),
)
gauth.get_credentials = p_patched_get_credentials
from google_workspace_mcp import __main__ as p_gw_main # noqa: E402,F401
from google_workspace_mcp.app import mcp # noqa: E402
if __name__ == "__main__":
# Upstream google_workspace_mcp.__main__.main() wraps a synchronous mcp.run() in asyncio.run() which throws "a coroutine was expected, got None" against current FastMCP. Skip it and invoke FastMCP's stdio loop directly. The `_gw_main` import above is what actually registers every tool/prompt/resource module against the shared `mcp` instance via its top-level imports.
mcp.run("stdio")