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    Bridges Archetype AI's Newton physical-world foundation model to any MCP-compatible agent, letting it answer natural-language questions grounded in inline text/JSON events or uploaded files, and turn channel-first sensor windows into 768-dimensional per-channel embeddings. It exposes just a couple of auditable tools over Newton's documented query API, with a mock backend for credential-free use and a proposed contract layer for policy-approved, verified physical actions.
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    MIT