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1 month ago
glama
Airflow MCP
Enables users to interact with Apache Airflow orchestration platform through natural language to query pipeline statuses, troubleshoot DAG failures, trigger DAGs, and analyze configurations.
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// key findings
✅
No credential exfiltration, no sensitive file access, no obfuscation
Static analysis found nothing flowing your secrets to unexpected places.
✅
Open source with a license and README
Anyone can audit the code, the license is declared, and the publisher documents what it does.
🔐
You'll be asked for 2 credentials: TOKEN, _AIRFLOW_WWW_USER_PASSWORD
These are read from process.env at runtime. Make sure you trust where they’ll be sent.
// required environment variables
This server reads these from
process.env. You'll be asked to provide them before it can run.config
POST_MODE— '': os.getenv('POST_MODE'),config
AIRFLOW_INSIGHTS_MODE— os.getenv(''),🔐 secret
TOKENconfig
AIRFLOW_ASSISTENT_AI_CONN— '': os.getenv(config
airflow_api_url— "args": ["run", "-i", "--rm", "-e", "", "-e", "airflow", "-e", "airflow", "hipposysai/airflow-mcp:latest"],config
_AIRFLOW_WWW_USER_USERNAME— os.getenv(''),🔐 secret
_AIRFLOW_WWW_USER_PASSWORD— os.getenv('')config
TRANSPORT_TYPE— '': 'stdio',// full audit trail
The full breakdown of what we checked, the deductions that landed, the network hosts, the dependency advisories, and concrete fix guidance is available to verified publishers.
// improvement guidance — verified publishers only
We have 1 concrete improvement we can share with the publisher of this MCP. Each comes with specific guidance to raise the trust score.
// embed badge in your README
[](https://m8ven.ai/mcp/hipposys-ltd-airflow-mcp-15iv1f)commit: 38aff28bcbda6891abda6d726ad99e4eec57470b
code hash: 9116c7201d19fc285db7edd8c9f69d21ae705319d0d60b214f17768cc170cc03
verified: 6/17/2026, 12:30:25 PM