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astro-airflow-mcp

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by astronomer
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    TDQS

    A4.1/5.0

    Scored across 31 tools

    Disambiguation5/5

    Each tool targets a distinct aspect of Airflow (DAGs, runs, tasks, instances, logs, pools, variables, etc.), with clear descriptions that prevent confusion. Even similar tools like 'explore_dag' and 'get_dag_details' serve different granularity levels.

    Naming Consistency4/5

    Most tools follow a verb_noun pattern (list_dags, get_dag_details, trigger_dag), but a few deviate (diagnose_dag_run, explore_dag, trigger_dag_and_wait). Overall, the pattern is clear and predictable.

    Tool Count4/5

    31 tools is high but appropriate for a comprehensive Airflow MCP server covering many subsystems. Each tool has a clear purpose, though some consolidation (e.g., get_dag_details and explore_dag) could reduce count slightly.

    Completeness3/5

    The tool set is strong for monitoring and troubleshooting (DAGs, runs, tasks, logs, system health) but misses write operations for variables, connections, and pools. This leaves agents without the ability to create or update these resources.

    Maintenance

    ActivityInactive
    ResponsivenessNo issues

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