What is the mcp-server-apache-airflow MCP server?

yangkyeongmo/mcp-server-apache-airflow is an MCP server indexed by AgentRank. Score: 47.3/100.

Is the mcp-server-apache-airflow MCP server actively maintained?

The mcp-server-apache-airflow MCP server was last committed 7mo ago and has 12 contributors. Issue health: 48% of issues resolved. AgentRank freshness score reflects real-time maintenance activity.

mcp-server-apache-airflow MCP Server

Name: yangkyeongmo/mcp-server-apache-airflow
Rating: 2.9 (1 reviews)
Author: yangkyeongmo

yangkyeongmo/mcp-server-apache-airflow

Score: 47.3 ↓ 3.4% Rank #23297 Data Processing

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Overview

yangkyeongmo/mcp-server-apache-airflow is a Python MCP server licensed under MIT.

Ranked #23297 out of 24846 indexed tools.

Has 12 contributors.

Ecosystem

Python MIT 822 pypi/wk

Score Breakdown

Stars 15% 178

178 stars → growing community

Freshness 25% 7mo ago

Last commit 7mo ago → stale

Issue Health 25% 48%

16/33 issues closed → many open issues

Contributors 10% 12

12 contributors → active community

Dependents 25% 0

No dependents → no downstream usage

npm Downloads N/A

PyPI Downloads 13% 822/wk

822 weekly installs → early adoption

Forks 48

Description None

License MIT

Weights: Freshness 20% · Issue Health 20% · Dependents 22% · Stars 10% · Contributors 8% · How we score →

How to Improve

Description low impact

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Freshness high impact

Last commit was 238 days ago — a recent commit would boost your freshness score

Issue Health high impact

You have 17 open vs 16 closed issues — triaging stale issues improves health

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Details

Stars: 178
Forks: 48
Open Issues: 17
Closed Issues: 16
Contributors: 12
Dependents: —
Language: Python
License: MIT
Last Commit: 7mo ago

Matched Queries

"mcp server""mcp-server"

From the README

# mcp-server-apache-airflow

A Model Context Protocol (MCP) server implementation for Apache Airflow, enabling seamless integration with MCP clients. This project provides a standardized way to interact with Apache Airflow through the Model Context Protocol.

<a href="https://glama.ai/mcp/servers/e99b6vx9lw">
  
</a>

## About

This project implements a [Model Context Protocol](https://modelcontextprotocol.io/introduction) server that wraps Apache Airflow's REST API, allowing MCP clients to interact with Airflow in a standardized way. It uses the official Apache Airflow client library to ensure compatibility and maintainability.

## Feature Implementation Status

| Feature                          | API Path                                                                                      | Status |
| -------------------------------- | --------------------------------------------------------------------------------------------- | ------ |
| **DAG Management**         |

Read full README on GitHub →