# mcp-airflow

> Use this tool when you need to manage and monitor Apache Airflow workflows, as it provides a REST API interface to list DAGs, inspect runs and task instances, trigger DAG runs, and check failed DAGs and scheduler health, solving workflow automation and monitoring problems with inputs such as DAG IDs and run dates, and outputs including workflow status and task instance details. It is ideal for automating workflow management tasks and troubleshooting workflow issues. This tool is particularly useful in data pipeline and workflow automation contexts.

Canonical page: https://skillsregistry.net/skills/antonio-mello-ai-mcp-airflow  
JSON: https://api.skillsregistry.net/v1/skills/antonio-mello-ai-mcp-airflow

## Description

MCP server exposing Apache Airflow REST API operations as tools — list DAGs, inspect runs and task instances, trigger DAG runs, and check failed DAGs and
scheduler health

## Trust

- **Trust score (0–1):** 0.95
- **Verification tier:** verified
- **Last scanned:** 2026-09-19

## Facts

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

## Source

- **Source listing:** [Glama](https://glama.ai/mcp/servers/h0qodj5zwq)
- **Repository:** <https://github.com/antonio-mello-ai/mcp-airflow>

## 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": "antonio-mello-ai-mcp-airflow"
    }
  }
}
```

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