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Autario

Autario

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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

    A3.9/5.0

    Scored across 57 tools

    Disambiguation4/5

    The tools cover many distinct Autario subdomains (discovery, query, analytics, charts, apps, connectors, admin), and descriptions actively route the agent between overlapping families such as search_datasets vs list_indicators vs discover_by_topic, or find_drivers vs decompose_drivers vs what_matters. With 57 tools, several adjacent discovery, analytics, and app-report tools can still be confused without careful reading, so it is not perfect.

    Naming Consistency4/5

    All names use snake_case with no camelCase or mixed casing, and most follow a verb_noun or clear noun-phrase pattern. A handful are noun-only or analysis names (projects, correlate, regression, bubble_or_not, audience_360), but the convention remains readable and broadly consistent.

    Tool Count2/5

    57 tools is far beyond the usual 3–15 range and creates substantial selection and cognitive-load risk. Although Autario is a broad platform, many capabilities could be consolidated or split into separate servers, so the count is too high for one coherent MCP toolset.

    Completeness4/5

    The surface covers core lifecycle operations for datasets, charts, apps, connectors, analytics, projects, and admin reporting. A few peripheral gaps remain, such as no delete/update for charts or apps and connector creation being UI-only, but the major workflows have good coverage.

    Maintenance

    ActivityMaintained
    ResponsivenessNo issues

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