42 lines
1.2 KiB
Markdown
42 lines
1.2 KiB
Markdown
# airflow-mcp-server: An MCP Server for controlling Airflow
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## Overview
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A Model Context Protocol server for controlling Airflow via Airflow APIs.
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## Demo Video
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https://github.com/user-attachments/assets/f3e60fff-8680-4dd9-b08e-fa7db655a705
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## Setup
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### Usage with Claude Desktop
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```json
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{
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"mcpServers": {
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"airflow-mcp-server": {
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"command": "uvx",
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"args": [
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"airflow-mcp-server"
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],
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"env": {
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"OPENAPI_SPEC": "<path_to_spec.yaml>",
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"AIRFLOW_BASE_URL": "http://<host:port>/api/v1",
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"AUTH_TOKEN": "<base64_encoded_username_password>"
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}
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}
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}
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}
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```
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> You can download the openapi spec from [Airflow REST API](https://airflow.apache.org/docs/apache-airflow/stable/stable-rest-api-ref.html)
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# Scope
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2 different streams in which Airflow MCP Server can be used:
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- Adding Airflow to AI (_complete access to an Airflow deployment_)
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- This will enable AI to be able to write DAGs and just do things in a schedule on its own.
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- Adding AI to Airflow (_read-only access using Airflow Plugin_)
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- This stream can enable Users to be able to get a better understanding about their deployment. Specially in cases where teams have hundreds, if not thousands of dags.
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