# Airflow MCP

> Use this tool when you need to manage and monitor Apache Airflow workflows through natural language commands, solving problems such as pipeline status queries, DAG failure troubleshooting, and configuration analysis, with inputs including voice or text commands and outputs including pipeline status updates and troubleshooting results. It provides an intuitive interface for users to interact with Airflow, streamlining workflow management and issue resolution. Ideal for data engineers, DevOps teams, and Airflow administrators seeking to simplify workflow orchestration and monitoring.

Canonical page: https://skillsregistry.net/skills/hipposys-ltd-airflow-mcp  
JSON: https://api.skillsregistry.net/v1/skills/hipposys-ltd-airflow-mcp

## Description

Enables users to interact with Apache Airflow orchestration platform through natural language to query pipeline statuses, troubleshoot DAG failures, trigger DAGs, and analyze configurations.

## Trust

- **Trust score (0–1):** 0.99
- **Verification tier:** verified
- **Last scanned:** 2026-09-19

## Facts

- **Version:** 1.0.0
- **Skill type:** atomic
- **Execution layer:** mcp-remote
- **Runtime environment:** api
- **Category:** devops-ci
- **Updated:** 2026-09-19

## Source

- **Source listing:** [Glama](https://glama.ai/mcp/servers/bvjelh6krd)
- **Repository:** <https://github.com/hipposys-ltd/airflow-mcp>

## Use it

Resolve this record through the SkillsRegistry MCP server (no auth, read-only):

```
claude mcp add --transport http --scope user skillsregistry https://api.skillsregistry.net/mcp
```

```json
{
  "jsonrpc": "2.0",
  "id": 1,
  "method": "tools/call",
  "params": {
    "name": "get_skill",
    "arguments": {
      "slug": "hipposys-ltd-airflow-mcp"
    }
  }
}
```

REST: `GET https://api.skillsregistry.net/v1/skills/hipposys-ltd-airflow-mcp` · pull for local use: `GET https://api.skillsregistry.net/v1/skills/hipposys-ltd-airflow-mcp/pull`

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SkillsRegistry indexes agent skills from public registries and GitHub. Skills we have analysed are scanned with Circle-IR and scored on six dimensions; each listing states its scan coverage. More: https://skillsregistry.net/llms.txt