semvec/pypi-packages huggingface dataset:
mcp-airflow-postgres 0.1.3
Model Context Protocol (MCP) server for Airflow database integration
License: MIT
Requires Python: <4.0,>=3.10
Keywords: airflow, database, mcp, postgresql

# MCP Airflow Database

A Model Context Protocol (MCP) server for interacting with Airflow databases.

## Setup with Poetry

### Prerequisites

- Python 3.8 or higher
- [Poetry](https://python-poetry.org/docs/#installation) installed on your system

### Installation

1. Clone this repository:
   ```powershell
   git clone <your-repository-url>
   cd mcp-airflow-db
   ```

2. Install dependencies with Poetry:
   ```powershell
   poetry install
   ```

3. Configure your environment:
   Create a `.env` file with your database connection string:
   ```
   DATABASE_URL=postgresql://airflow:airflow123@localhost:5432/airflow
   ```

### Running the MCP Server

Run the server with Poetry:
```powershell
poetry run python src/server.py
```

Or activate the Poetry environment first:
```powershell
poetry shell
python src/server.py
```

## Using with Smithery

This MCP can be used with Smithery directly as configured in the `smithery.yaml` file. Make sure to provide the `DATABASE_URL` configuration when starting the server.

## Available Tools

- `failed_runs`: Query failed Airflow DAG runs within a specified time period.
- `query`: Execute SQL queries directly against the Airflow database.

## License

[Your License]
databricks-bundle 1.5.1
[DEPRECATED] Databricks runtime support for the Daipe framework
License: MIT
Requires Python: <4.0,>=3.8

# [DEPRECATED] Databricks bundle

This bundle allows you use [Daipe Framework](https://www.daipe.ai) with Databricks.

This project is DEPRECATED. Please do not use it.

## Resources

* [Documentation](https://docs.daipe.ai/data-pipelines-workflow/coding-basics/)