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penelope-mcp

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by Northeastern-Electric-Racing
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Python
Hybrid

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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

    A3.5/5.0

    Scored across 10 tools

    Disambiguation5/5

    Each tool targets a distinct operation: search, browse, and describe cover topic discovery at different levels; run_query/export_query and get_series/export_series are clearly separated by inline-vs-file delivery. The descriptions explicitly reinforce these boundaries, so an agent should rarely confuse one tool for another.

    Naming Consistency4/5

    Nine of ten tools follow a consistent verb_noun pattern like export_query, browse_topics, describe_topic, and list_runs. The noun-only 'car_info' is a minor outlier, preventing a perfect score, but the overall convention is predictable.

    Tool Count5/5

    Ten tools is well-scoped for a telemetry exploration server: discovery, profiling, inline querying, bulk export, and schema/run metadata each have a dedicated tool. There are no redundant or filler tools.

    Completeness5/5

    The surface covers the full read-only workflow: find topics, confirm them, query small results inline, export bulk data, and resolve runs or table schemas. The arbitrary read-only SQL escape hatches cover any remaining analytical shapes, leaving no dead ends.

    Maintenance

    ActivityMaintained
    ResponsivenessNo issues

    Resources