Credentials. The token printed at first start is your login to the server, so store it securely and never paste it into a shared chat or repo.
Who it is forA developer or team that wants to keep scans of private spaces on their own infrastructure.
The problemSending scans of private spaces to a third-party hosted service may not be acceptable for some projects.
The outcomeA running server you control, reachable by your MCP client through OPENREALITY_URL and a token.
What you need first
- Node.js and npx, so the openreality-mcp package can run
- An MCP-capable AI assistant such as Claude Code, Codex, Cursor, or Claude desktop
- A phone video of the space you want to scan
- A browser to complete the one-time sign-in (hosted service)
Steps
- Clone the repo:
git clone https://github.com/reality-opened/openreality. - Enter the server directory:
cd openreality/server. - Start on your own GPU box with
python -m server.selfhost --data-dir ~/openreality-data, or deploy to your own Modal account withmodal deploy modal_selfhost.py. - Copy the single token printed at first start, since it is your login.
- Point the MCP client at your server using OPENREALITY_URL and that token.
Prompt for your agent
In the openreality repo, follow server/docs/self-hosting.md to start the server at <path or Modal target> and connect the MCP client using OPENREALITY_URL=<your server URL>. Verify that the MCP client can reach the server and that the token printed at first start is not committed to any file in the repo.
Caveat. The self-host paths are described as young, and the reconstruction model the server downloads is licensed for non-commercial use only, so commercial use needs a separate license from its owners.
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