AI Plugin Indexdata pipelines
Airflow MCP servers and skills
There are 12 ways to connect Airflow to Claude, ChatGPT, Cursor and other AI assistants: 3 MCP servers and 9 skills. The most used is airflow-mcp-server (33 GitHub stars).
Most used
Airflow adapter pattern for v2/v3 API compatibility. Use when working with adapters, version detection, or adding new API methods that need to work across Airflow 2.x and 3.x.
Build production Apache Airflow DAGs with best practices for operators, sensors, testing, and deployment. Use when creating data pipelines, orchestrating workflows, or scheduling batch jobs.
Build production Apache Airflow DAGs with best practices for operators, sensors, testing, and deployment. Use when creating data pipelines, orchestrating workflows, or scheduling batch jobs.
An MCP server for Apache Airflow
Diagnose Airflow failures from UI links with bounded logs and optional recovery actions.
Airflow MCP — list DAGs/runs/task instances, tail logs, trigger and clear (write-gated)
MCP servers (3)
- 1airflow-mcp-server abhishekbhakatAn MCP server for Apache Airflow47
- 2Incident Response MCP for Apache Airflow madamak · Cloud and DevOpsDiagnose Airflow failures from UI links with bounded logs and optional recovery actions.45
- 3airflow us-all · Cloud and DevOpsAirflow MCP — list DAGs/runs/task instances, tail logs, trigger and clear (write-gated)38
Skills (9)
- 1airflow-adapter astronomerAirflow adapter pattern for v2/v3 API compatibility. Use when working with adapters, version detection, or adding new API methods that need to work across Airflow 2.x and 3.x.74
- 2airflow-dag-patterns agent-skills-hub · Cloud and DevOpsBuild production Apache Airflow DAGs with best practices for operators, sensors, testing, and deployment. Use when creating data pipelines, orchestrating workflows, or scheduling batch jobs.60
- 3airflow-dag-patterns FrancoStino · Cloud and DevOpsBuild production Apache Airflow DAGs with best practices for operators, sensors, testing, and deployment. Use when creating data pipelines, orchestrating workflows, or scheduling batch jobs.53
- 4airflow-dag-gen clawdataGenerate Airflow DAGs from pipeline specifications using project templates.37
- 5airflow bytesagain · Cloud and DevOpsApache Airflow workflow orchestration reference. Covers DAG authoring (TaskFlow API + classic), operators, sensors, connections, XComs, deployment (Docker, Kubernetes, Helm), testing, and common patterns including dynamic task mapping and data-aware scheduling.24
- 6aws-airflow-terraform-project enok · Cloud and DevOpsRepository-specific guidance for AWS Airflow Terraform changes in the Public Compliance Data Analysis project. Use after the shared toolkit guidance for infrastructure changes involving MWAA, Airflow DAGs, or migration from shell scripts to Airflow.24
- 7airflow-dag-patterns ibragimov-oasis · Cloud and DevOpsBuild production Apache Airflow DAGs with best practices for operators, sensors, testing, and deployment. Use when creating data pipelines, orchestrating workflows, or scheduling batch jobs.21
- 8airflow-dag-patterns VinhDat267 · Cloud and DevOpsBuild production Apache Airflow DAGs with best practices for operators, sensors, testing, and deployment. Use when creating data pipelines, orchestrating workflows, or scheduling batch jobs.19
- 9airflow-dag-patterns SpencerGeee · Cloud and DevOpsBuild production Apache Airflow DAGs with best practices for operators, sensors, testing, and deployment. Use when creating data pipelines, orchestrating workflows, or scheduling batch jobs.16
Questions
Is there an official Airflow MCP server?
Check the publisher on each listing: servers published by Airflow itself are the official ones. The most used Airflow server here is airflow-mcp-server by abhishekbhakat.
How do I connect Airflow to Claude?
Pick a server below, open its page and copy the install command for Claude Code, or the config block for Claude Desktop. Most Airflow servers need an API key or token from your Airflow account.