# MCP-Airflow-API

> MCP-Airflow-API — call518-mcp-airflow-api. Use this tool when you need to integrate and manage Apache Airflow clusters, providing a comprehensive interface for service operations, configuration management, and status monitoring. It solves problems related to Airflow cluster management, offering inputs such as git integration and outputs including request tracking and status updates. Ideal for use cases requiring centralized Airflow management and automation.

Canonical page: https://skillsregistry.net/skills/call518-mcp-airflow-api  
JSON: https://api.skillsregistry.net/v1/skills/call518-mcp-airflow-api

## Description

⚡ Control Apache Airflow with natural language via MCP. Chat with your workflows using Claude, GPT, or any LLM — no REST API calls needed. Supports Airflow 2.x (43 tools) & 3.0+ (45+ tools).

## Trust

- **Trust score (0–1):** 0.65
- **Verification tier:** scanned
- **Last scanned:** 2026-06-18

## Facts

- **Version:** 1.0.0
- **Skill type:** atomic
- **Execution layer:** container
- **Runtime environment:** vm
- **Category:** ai-ml
- **Updated:** 2026-09-22

## Source

- **Source listing:** [GitHub](https://github.com/call518/MCP-Airflow-API)

## 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": "call518-mcp-airflow-api"
    }
  }
}
```

REST: `GET https://api.skillsregistry.net/v1/skills/call518-mcp-airflow-api` · pull for local use: `GET https://api.skillsregistry.net/v1/skills/call518-mcp-airflow-api/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