A Model Context Protocol (MCP) server for Apache Airflow that enables standardized access to DAG metadata, run status, and task insights, allowing seamless integration with MCP clients for…
AirTrack is an MCP project maintained in the rakesh-infosrc/mcp-airflow-openwebui repository. The maintainer describes its purpose as “A Model Context Protocol (MCP) server for Apache Airflow that enables standardized access to DAG metadata, run status, and task insights, allowing seamless integration with…”. Read the project documentation for the complete scope.
The project provides a local client configuration using C:\Users\RakeshReddyBijjam\pipx\venvs\meltano\Scripts\uv.EXE. Follow the repository’s build and installation steps before copying it, and replace example paths with the paths on your own computer.
Project documentation · Repository · Discovery listing. This profile records the public documentation checked on 2026-10-08.
{
"mcpServers": {
"airflow-mcp-server": {
"command": "C:\\Users\\RakeshReddyBijjam\\pipx\\venvs\\meltano\\Scripts\\uv.EXE",
"args": [
"run",
"--with",
"mcp[cli]",
"mcp",
"run",
"C:\\Users\\RakeshReddyBijjam\\Desktop\\claude_sam\\AirTrack\\mcp\\server.py"
]
}
}
}From the project documentation. Replace placeholders and example paths before connecting.
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