yangkyeongmo@/mcp-server-apache-airflow
by Various
π π - MCP server that connects to [Apache Airflow](https://airflow.apache.org/) using official client.
MCP
yangkyeongmo@/mcp-server-apache-airflow
Added 1 June 2026
Overview
An MCP server that connects to Apache Airflow using its official Python client. It exposes Airflow operations as MCP tools, enabling AI agents to interact with Airflow instances programmatically.
Best for
Best for
Developers who want to control Apache Airflow through MCP-compatible AI agents
Use cases
- Trigger and monitor DAG runs from an AI assistant
- List and inspect Airflow DAGs and task instances
- Pause or unpause DAGs via natural language commands
How to use
Install
npx -y @smithery/cli install @yangkyeongmo/mcp-server-apache-airflow --client claude Tested with
Claude Desktop
Notes
An MCP server that connects to Apache Airflow using its official Python client. It exposes Airflow operations as MCP tools, enabling AI agents to interact with Airflow instances programmatically.
166 stars on GitHub. Last updated 2026-03-03. Licensed MIT.
Use cases
- Trigger and monitor DAG runs from an AI assistant
- List and inspect Airflow DAGs and task instances
- Pause or unpause DAGs via natural language commands
Pros
- Leverages the official Airflow client for reliable connectivity
- Simple setup for developers already using MCP
- Open source with 166 GitHub stars indicating community interest
Cons
- Requires a running Airflow instance with network access
- Limited to operations exposed by the Airflow client API
- Python-only, may not fit non-Python MCP environments
Indexed from awesome-mcp-servers-punkpeye and enriched against its public facts.
Pros
- Leverages the official Airflow client for reliable connectivity
- Simple setup for developers already using MCP
- Open source with 166 GitHub stars indicating community interest
Cons
- Requires a running Airflow instance with network access
- Limited to operations exposed by the Airflow client API
- Python-only, may not fit non-Python MCP environments
Pairs with
Other entries in the index that connect to this one. Click through to see the chain.
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