# airflow-mcp-server

> Use this tool when you need to manage and monitor Airflow workflows, as it provides read access to DAGs, runs, and task instances, and allows for triggering and clearing tasks with write-gated functionality. It solves problems related to workflow automation, monitoring, and control, enabling users to track and intervene in workflow execution. Ideal for use cases requiring programmatic interaction with Airflow, such as automating workflow triggers or monitoring task logs.

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

## Description

Airflow MCP server — read DAGs, runs, task instances, log tails; trigger and clear (write-gated).

## Trust

- **Trust score (0–1):** 0.97
- **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/lvhwf7pm4k)
- **Repository:** <https://github.com/us-all/airflow-mcp-server>

## 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": "us-all-airflow-mcp-server"
    }
  }
}
```

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