# airflow-mcp-server

> airflow-mcp-server — mehrozekhan73-mcp-server-for-airflow. Use this tool when you need to control and manage Airflow workflows programmatically, solving problems such as automating workflow triggers and monitoring workflow status. It provides an interface to interact with Airflow APIs, accepting inputs like workflow IDs and commands, and outputs workflow status and results. Use it in contexts where automated workflow management is required, such as in data pipelines or DevOps environments.

Canonical page: https://skillsregistry.net/skills/mehrozekhan73-mcp-server-for-airflow  
JSON: https://api.skillsregistry.net/v1/skills/mehrozekhan73-mcp-server-for-airflow

## Description

An MCP Server for controlling Airflow via Airflow APIs.

## Trust

- **Trust score (0–1):** 0.68
- **Verification tier:** scanned
- **Last scanned:** 2026-08-29

## Facts

- **Version:** 1.0.0
- **Skill type:** atomic
- **Execution layer:** mcp-remote
- **Runtime environment:** api
- **Category:** other
- **Updated:** 2026-08-29

## Source

- **Source listing:** [Glama](https://glama.ai/mcp/servers/diml4fjqfh)
- **Repository:** <https://github.com/MehrozeKhan73/MCP-Server-for-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": "mehrozekhan73-mcp-server-for-airflow"
    }
  }
}
```

REST: `GET https://api.skillsregistry.net/v1/skills/mehrozekhan73-mcp-server-for-airflow` · pull for local use: `GET https://api.skillsregistry.net/v1/skills/mehrozekhan73-mcp-server-for-airflow/pull`

---
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