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airflow-mcp-server

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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

    A3.6/5.0

    Scored across 8 tools

    Disambiguation4/5

    Each tool maps to a distinct resource/action: DAGs, runs, task instances, logs, aggregate health, and tool discovery. dag-health-rollup and airflow-list-runs could overlap for health questions, but the description explicitly positions the rollup as the higher-level replacement, so ambiguity remains low.

    Naming Consistency3/5

    Most tools follow the airflow-<verb>-<object> pattern (airflow-list-dags, airflow-trigger-dag, airflow-clear-task, airflow-list-runs, airflow-get-task-instances, airflow-get-task-logs), but dag-health-rollup and search-tools break both the airflow- prefix and the verb-noun convention. There is also minor inconsistency between 'list' and 'get' for similar retrieval operations.

    Tool Count5/5

    Eight tools is well-scoped for an Airflow operations server. Each tool covers a meaningful operation without redundancy or bloat.

    Completeness4/5

    The set covers the core operational workflow: discover DAGs, trigger runs, inspect runs/task instances/logs, clear tasks, and get an aggregated health rollup. Minor gaps like pause/unpause DAGs or fetching DAG details exist, but they do not break the primary monitoring and troubleshooting use case.

    Maintenance

    ActivityStale
    ResponsivenessNo issues

    Resources