Skip to main content
Glama

MCP Server Airflow Token

get_plugins

Retrieve a list of loaded plugins from Apache Airflow deployments to monitor and manage available plugin functionality.

Instructions

Get a list of loaded plugins

Input Schema

NameRequiredDescriptionDefault
limitNo
offsetNo

Input Schema (JSON Schema)

{ "properties": { "limit": { "anyOf": [ { "type": "integer" }, { "type": "null" } ], "default": null, "title": "Limit" }, "offset": { "anyOf": [ { "type": "integer" }, { "type": "null" } ], "default": null, "title": "Offset" } }, "type": "object" }

Implementation Reference

  • The main handler function for the 'get_plugins' MCP tool. It accepts optional limit and offset parameters, calls the Airflow PluginApi to fetch plugins, and returns the response as TextContent.
    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() in this module provides the registration tuple for the 'get_plugins' tool, which is imported and used by main.py to add the tool to the MCP app.
    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), ]
  • Function signature defining the input schema (optional limit and offset integers) and output schema (list of content types).
    async def get_plugins( limit: Optional[int] = None, offset: Optional[int] = None, ) -> List[Union[types.TextContent, types.ImageContent, types.EmbeddedResource]]:

Latest Blog Posts

MCP directory API

We provide all the information about MCP servers via our MCP API.

curl -X GET 'https://glama.ai/api/mcp/v1/servers/nikhil-ganage/mcp-server-airflow-token'

If you have feedback or need assistance with the MCP directory API, please join our Discord server