list_variables
Retrieve all Airflow variables from an MWAA environment to manage configuration data and workflow parameters.
Instructions
List all Airflow variables in the environment.
Args: environment_name: Name of the MWAA environment limit: Number of items to return offset: Number of items to skip
Returns: Dictionary containing list of variables
Input Schema
TableJSON Schema
| Name | Required | Description | Default |
|---|---|---|---|
| environment_name | Yes | ||
| limit | No | ||
| offset | No |
Output Schema
TableJSON Schema
| Name | Required | Description | Default |
|---|---|---|---|
No arguments | |||
Implementation Reference
- awslabs/mwaa_mcp_server/tools.py:450-460 (handler)The actual implementation of the list_variables tool logic that interacts with the Airflow API.
async def list_variables( self, environment_name: str, limit: Optional[int] = 100, offset: Optional[int] = 0, ) -> Dict[str, Any]: """List variables via Airflow API.""" params: Dict[str, Any] = {"limit": limit, "offset": offset} return self._invoke_airflow_api( environment_name, "GET", "/variables", params=params ) - awslabs/mwaa_mcp_server/server.py:535-554 (registration)The MCP tool registration and entry point wrapper for list_variables.
@mcp.tool(name="list_variables") async def list_variables( environment_name: str, limit: Optional[int] = 100, offset: Optional[int] = 0, ) -> Dict[str, Any]: """List all Airflow variables in the environment. Args: environment_name: Name of the MWAA environment limit: Number of items to return offset: Number of items to skip Returns: Dictionary containing list of variables """ limit_int = int(limit) if limit is not None else 100 offset_int = int(offset) if offset is not None else 0 return await tools.list_variables(environment_name, limit_int, offset_int)