78
/100
B
◉ Complete 5⁄5
astro-airflow-mcp
An MCP server that enables AI assistants to interact with Apache Airflow's REST API for DAG management, task monitoring, and system diagnostics. It provides comprehensive tools for triggering workflows, retrieving logs, and inspecting system health across Airflow 2.x and 3.x versions.
Glama
MCP Surface
Tools: 31
Template Description
Schema Drift
Complete visibility
— 5/5 applicable dimensions scored
✓ Schema Quality
✓ Protocol
— Reliability
✓ Docs & Maintenance
✓ Security Hygiene
✓ Schema Interpretability
Schema Quality
63
25% weight
Protocol Compliance
82
20% weight
Reliability
—
20% weight
Docs & Maintenance
69
15% weight
Security Hygiene
82
20% weight
Schema Interpretability
98
15% weight
Score History
Category Trends
30-Day Uptime
30 days ago
Today
Static Analysis
| Metric | Score | Rating |
|---|---|---|
| Schema Completeness | 80 | Good |
| Description Quality | 75 | Good |
| Documentation Coverage | 40 | Fair |
| Maintenance Pulse | 74 | Good |
| Dependency Health | 75 | Good |
| License Clarity | 100 | Good |
| Version Hygiene | 90 | Good |
Analyzed 4 weeks, 1 day ago
Protocol Compliance
Schema Issues (34)
get_dag_details.dag_id: missing description
get_dag_source.dag_id: missing description
get_dag_stats.dag_ids: missing description
get_task.dag_id: missing description
get_task.task_id: missing description
list_tasks.dag_id: missing description
get_task_instance.dag_id: missing description
get_task_instance.dag_run_id: missing description
get_task_instance.task_id: missing description
get_task_logs.dag_id: missing description
get_task_logs.dag_run_id: missing description
get_task_logs.task_id: missing description
get_task_logs.try_number: missing description
get_task_logs.map_index: missing description
get_dag_run.dag_id: missing description
... and 19 more
Probed 1 month ago
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