anatoliyaksenov-airflow-etl-pipeline-generator
Integrates with Apache Airflow, GitLab, Kafka, PostgreSQL, S3, and SMB file systems to enable conversational ETL pipeline creation, data source connectivity testing, schema extraction, and automatic generation of production-ready Airflow DAGs with pre-built Spark application templates for database-to-datalake, file-to-datalake, and API-to-datalake workflows.
- Score
- 22.5571 signal
- Evidence
- 1 star
- Last commit
- as last read from GitHub; most reads are from 2 Sep 2026 or later
- Listed
Install
No one-command install. Set it up from its source.
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What it is
MCP server Airflow ETL Pipeline Generator, catalogued on PulseMCP. Integrates with Apache Airflow, GitLab, Kafka, PostgreSQL, S3, and SMB file systems to enable conversational ETL pipeline creation, data source connectivity testing, schema extraction, and automatic generation of production-ready Airflow DAGs with pre-built Spark application templates for database-to-datalake, file-to-datalake, and API-to-datalake workflows.
When to use it
Integrates with Apache Airflow, GitLab, Kafka, PostgreSQL, S3, and SMB file systems to enable conversational ETL pipeline creation, data source connectivity testing, schema extraction, and automatic generation of production-ready Airflow DAGs with pre-built Spark application templates for database-to-datalake, file-to-datalake, and API-to-datalake workflows.
Notes
Listed from the PulseMCP registry. The registry does not state a license. Check it before production use.