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Metricairn

by rnepal2
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Python
Remote

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    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

    B3.2/5.0

    Scored across 20 tools

    Disambiguation3/5

    Several tools overlap in querying and comparison capabilities, notably query_metrics vs run_query vs ask, and compare vs investigate_change vs detect_anomalies. Descriptions do clarify intended use, but an agent must read carefully to avoid misselection. Distinct areas like realtime, notes, health, and usage are clearer.

    Naming Consistency3/5

    All names use lowercase snake_case, but the pattern is inconsistent: list_, get_, query_, run_, bare verbs like compare/ask/detect_anomalies, and noun phrases ending in _report. It remains readable but lacks a single predictable verb_noun convention.

    Tool Count3/5

    At 20 tools, the server sits at the heavy end of the reasonable range for an analytics MCP. Many specialized reports justify their place, but the overlap among query and comparison tools suggests some consolidation is possible.

    Completeness4/5

    The surface broadly covers read-oriented analytics: discovery, queries, breakdowns, funnels, revenue, goals, retention, anomalies, investigations, health, realtime, and notes. Minor gaps remain, such as no tool to create/update timeline notes and no list_funnels to discover funnel names/IDs for funnel_report.

    Maintenance

    ActivityMaintained
    ResponsivenessNo issues

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