get_plugins
Retrieve a list of loaded plugins from Apache Airflow to manage and monitor plugin configurations within your workflow system.
Instructions
Get a list of loaded plugins
Input Schema
TableJSON Schema
| Name | Required | Description | Default |
|---|---|---|---|
| limit | No | ||
| offset | No |
Implementation Reference
- src/airflow/plugin.py:18-41 (handler)The main handler function for the 'get_plugins' MCP tool. It accepts optional limit and offset parameters, calls the Airflow PluginApi.get_plugins, and returns the response as a TextContent list.async def get_plugins( limit: Optional[int] = None, offset: Optional[int] = None, ) -> List[Union[types.TextContent, types.ImageContent, types.EmbeddedResource]]: """ Get a list of loaded plugins. Args: limit: The numbers of items to return. offset: The number of items to skip before starting to collect the result set. Returns: A list of loaded plugins. """ # Build parameters dictionary kwargs: Dict[str, Any] = {} if limit is not None: kwargs["limit"] = limit if offset is not None: kwargs["offset"] = offset response = plugin_api.get_plugins(**kwargs) return [types.TextContent(type="text", text=str(response.to_dict()))]
- src/airflow/plugin.py:11-16 (registration)The get_all_functions helper that provides the registration tuple (function, name, description, read_only) for the 'get_plugins' tool, imported and used in main.py to register the tool with the MCP server.def get_all_functions() -> list[tuple[Callable, str, str, bool]]: """Return list of (function, name, description, is_read_only) tuples for registration.""" return [ (get_plugins, "get_plugins", "Get a list of loaded plugins", True), ]