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TimeBase MCP

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Python
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    Deploy Server
    One endpoint for every MCP toolRayrun runs every MCP server behind one URL and holds the credentials. Each call is decided per client, tool, and argument, then recorded.ray.runAd

    TDQS

    A3.7/5.0

    Scored across 16 tools

    Disambiguation4/5

    Most tools target distinct resources and actions, but get_stream_time_range vs get_stream_space_time_range and get_server_configuration vs get_timebase_status have subtle overlaps that could cause occasional misselection.

    Naming Consistency5/5

    All tools follow a consistent snake_case verb_noun pattern (e.g., list_streams, get_stream_schema, execute_query), with no mixed conventions.

    Tool Count4/5

    16 tools is slightly above the ideal range, but each tool maps to a specific TimeBase operation and the set remains well-scoped for querying and inspection.

    Completeness4/5

    The surface covers query execution, compilation, function listing, server status/activity, and stream metadata well, but lacks write operations or certain aggregate stream stats that could be expected.

    Maintenance

    ActivityActive
    ResponsivenessUnresponsive

    Resources