Penpot MCP Server

"""Gateway Router for Penpot MCP. This module acts as the hybrid router deciding whether to fulfill an AI intent via Database/RPC calls (headless) or WebSocket (interactive). """ from __future__ import annotations import logging logger = logging.getLogger(__name__) class PenpotGateway: """Intelligent router that decides the execution path (WS vs DB/API).""" def __init__(self): # We will initialize the WS controller here later from penpot_mcp.ws_controller import ws_controller self._ws = ws_controller @property def is_interactive(self) -> bool: """Returns True if the user is actively connected via the Plugin WebSocket.""" return self._ws.is_connected @property def active_selection(self) -> list[str]: """Returns the UUIDs of the shapes currently selected by the user.""" return self._ws.active_selection async def execute_intent(self, intent_name: str, **kwargs): """Execute an AI intent using the most effective path. Args: intent_name: Logical identity of the operation (e.g. 'get_page_objects') **kwargs: Arguments needed for the operation """ # For Phase 1, we just fallback immediately to the DB/API implementations # which are currently located in penpot_mcp.tools.* # Example routing (to be expanded): if intent_name == "get_page_objects": from penpot_mcp.tools.shapes import get_page_objects return await get_page_objects(**kwargs) elif intent_name == "get_shape_tree": from penpot_mcp.tools.shapes import get_shape_tree return await get_shape_tree(**kwargs) else: raise NotImplementedError(f"Gateway has no route for intent: {intent_name}") # Central singleton instance gateway = PenpotGateway()