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metal-gpu-trace

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    Deploy Server
    Shareable, User-Owned Context BackendPeople, applications, and agents read, write, and coordinate together in one context lake. Reach it over MCP, a CLI, a Python SDK, or REST.fulcradynamics.comAd

    TDQS

    A3.6/5.0

    Scored across 8 tools

    Disambiguation4/5

    Tools cluster into three clear groups (perf_* recordings, trace_* .trace exploration, capture_* .gputrace exploration) plus a standalone reference tool, and within each group the actions are distinct. The only mild risk is confusing trace_* and capture_* since both inspect capture files, but the descriptions clearly separate .trace from .gputrace.

    Naming Consistency4/5

    All names use consistent snake_case with a group prefix (perf_, trace_, capture_) that maps predictably to the domain area. Minor deviations: perf_runs and trace_tables use nouns rather than the verb style of their siblings, but the pattern remains readable.

    Tool Count5/5

    Eight tools is well-scoped for a Metal tracing/analysis server, with each tool earning its place across recording, comparison, trace exploration, capture inspection, and reference lookups.

    Completeness4/5

    The surface covers the full workflow: record, list, compare, inspect trace tables/rows, and read gputrace captures, plus a GPU-family reference. Minor gaps like no delete/prune of saved recordings or export of results exist, but agents can work around them.

    Maintenance

    ActivityMaintained
    ResponsivenessNo issues

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