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chronosml-mcp

Official1 source

Enables AI agents to estimate wall-clock runtime, peak memory footprint, OOM risk, and optimal batching before launching ML training or inference jobs, and to log completed runs for continuous calibration. It exposes just two ultra-compact tools so estimation fits in under 200 tokens of agent context.

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Grouping basis: listing. Exact endpoints or package sets can be grouped automatically; other relationships require evidence review. This does not verify publisher affiliation, connection health, or equivalent capabilities.

SourcesMCP data from Glama source code

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