# Airflow

> Use this tool when you need to interact with Apache Airflow workflows directly through a conversational interface, solving workflow orchestration and monitoring challenges for DevOps teams. It provides read-only and full-access operation modes, allowing users to manage Airflow resources, trigger runs, and check statuses. With support for token and cookie-based authentication, Airflow MCP Server enables seamless integration with Airflow workflows, making it ideal for controlling and monitoring workflow orchestration through natural language.

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

## Description

Airflow MCP Server provides a bridge between Claude and Apache Airflow, enabling direct interaction with Airflow workflows through the API. Built by Abhishek Bhakat, it supports both read-only (safe) and full-access (unsafe) operation modes, allowing users to list DAGs, check statuses, trigger runs, and manage Airflow resources without leaving their conversation interface. The implementation parses the Airflow OpenAPI specification to dynamically generate tools, supports both token and cookie-based authentication, and handles parameter validation - making it particularly valuable for DevOps teams who need to monitor and control workflow orchestration through natural language.

## Trust

- **Trust score (0–1):** 0.50
- **Verification tier:** unverified

## Facts

- **Version:** 1.0.0
- **Skill type:** atomic
- **Execution layer:** mcp-remote
- **Runtime environment:** api
- **Category:** devops-ci
- **Updated:** 2026-08-31

## Source

- **Source listing:** [PulseMCP](https://www.pulsemcp.com/servers/abhishekbhakat-airflow)
- **Repository:** <https://github.com/abhishekbhakat/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": "abhishekbhakat-airflow"
    }
  }
}
```

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

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