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yangkyeongmo

MCP Server for Apache Airflow

by yangkyeongmo

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
NameRequiredDescriptionDefault
limitNo
offsetNo

Implementation Reference

  • 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()))]
  • 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),
        ]

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