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:pray: - by the community
See the full guide at ADDING-A-DATA-SOURCE.md.
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- Self hosted version (with multi-user also supported)
Install nvidia container toolkit on the host machine.
distribution=$(. /etc/os-release;echo $ID$VERSION_ID) \
&& curl -s -L https://nvidia.github.io/nvidia-docker/gpgkey | sudo apt-key add - \
&& curl -s -L https://nvidia.github.io/nvidia-docker/$distribution/nvidia-docker.list | sudo tee /etc/apt/sources.list.d/nvidia-docker.list
sudo apt-get update
sudo apt-get install -y nvidia-docker2
sudo systemctl restart docker
Then run the docker container like so:
docker run --gpus all --name=gerev -p 80:80 -v ~/.gerev/storage:/opt/storage gerev/gerev
docker run --name=gerev -p 80:80 -v ~/.gerev/storage:/opt/storage gerev/gerev
add -d if you want to detach the container.
See ADDING-A-DATA-SOURCE.md in the Setup development environment section.

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$ claude mcp add gerev \
-- python -m otcore.mcp_server <graph>