- Mcp Airflow Postgres
Mcp Airflow Postgres
Content
MCP Airflow Database
A Model Context Protocol (MCP) server for interacting with Airflow databases.
Setup with Poetry
Prerequisites
- Python 3.8 or higher
- Poetry installed on your system
Installation
-
Clone this repository:
git clone <your-repository-url> cd mcp-airflow-db -
Install dependencies with Poetry:
poetry install -
Configure your environment: Create a
.envfile with your database connection string:DATABASE_URL=postgresql://airflow:airflow123@localhost:5432/airflow
Running the MCP Server
Run the server with Poetry:
poetry run python src/server.py
Or activate the Poetry environment first:
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]
Server Config
{
"mcpServers": {
"mcp-airflow-postgres": {
"command": "uvx",
"args": [
"--from",
"D:\\GPT\\mcp-airflow-postgres",
"mcp-airflow-postgres"
],
"env": {
"DATABASE_URL": "postgresql://airflow:airflow123@localhost:5432/airflow"
}
}
}
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