SingleMeshLayer can be used from Python but there is no special integration --- there is no Python-specific single mesh source:
with viewer.txn() as s:
with viewer.txn() as s:
s.layers['mesh'] = neuroglancer.SegmentationLayer(source='precomputed://gs://neuroglancer-janelia-flyem-hemibrain/v1.0/segmentation/mesh')
If you have both a local volume and a precomputed mesh, you can specify both sources in a single SegmentationLayer:
with viewer.txn() as s:
s.layers['mesh'] = neuroglancer.SegmentationLayer(source=[neuroglancer.LocalVolume(...), 'precomputed://gs://neuroglancer-janelia-flyem-hemibrain/v1.0/segmentation/mesh')])
If that doesn't answer your question, if you share your code I can better understand what you are trying to accomplish.