MCP-Airflow-API

by call518

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Python

Hybrid

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TDQS

B3.1/5.0

Scored 2026-09-10 00:59 across 54 tools

Disambiguation5/5

Each tool targets a distinct resource or action (e.g., list_dags, trigger_dag, get_config_section). Even closely related tools like running_dags and failed_dags have clear, non-overlapping purposes. No ambiguity in tool selection.

Naming Consistency4/5

Most tools follow a consistent verb_noun pattern (list, get, create, trigger, pause), with minor deviations like running_dags and batch tools (get_dags_detailed_batch). Naming is readable and predictable overall, but not perfectly uniform.

Tool Count2/5

With 54 tools, the set is far above the recommended 3-15 range and exceeds the 25+ threshold for 'too many'. While the Airflow domain is broad, the sheer number will likely overwhelm agents and reduce usability.

Completeness5/5

The server covers virtually all Airflow API resources: DAGs, runs, tasks, variables, connections, config, pools, datasets, users, permissions, logs, and more. It includes CRUD for connections and provides detailed views, summaries, and search, making it a comprehensive surface.