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How to scan a room from phone video and query it with Openreality

Upload a phone video and ask your AI assistant what objects are in the room and how big it is.

Credentials. The sign-in stores a revocable API key on your machine, so keep that key private.

Reverse engineering. Scans of private rooms are uploaded to the hosted service unless you self-host, so check that you are comfortable with that before uploading.

Who it is forA homeowner, renter, or designer who needs quick answers about a physical room without walking around with a tape measure.

The problemDescribing a room to an AI assistant from memory or photos gives vague answers about what is there and how large it is.

The outcomeA persistent 3D scene of the room that the assistant can query for objects and room size.

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

  1. Add the tools to your assistant: claude mcp add openreality -- npx -y openreality-mcp serve (or codex mcp add openreality -- npx -y openreality-mcp serve).
  2. Sign in once with npx -y openreality-mcp login.
  3. Record a video of the room on your phone, or upload a file such as ~/Videos/kitchen.mp4 by asking your assistant to upload it.
  4. Wait for the reconstruction to finish. The README says this takes a few minutes.
  5. Ask: "What objects are in my latest scan, and how big is the room?"

Prompt for your agent

In the openreality repo's MCP tools, upload <video path>, reconstruct it, then list the objects in the resulting scene and report the room size. Verify that the answer says whether dimensions are metric or relative, because the README states numbers are only called metres after calibration.

Caveat. Numbers stay relative until you calibrate the scene with a known real distance, so do not treat room size as metres before that step.

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