RapidChart MCP Server

"""Configuration management for RapidChart MCP server.""" import os from typing import Optional from pydantic import BaseModel, Field class Config(BaseModel): """MCP Server Configuration""" api_token: str = Field(..., description="RapidChart API token") api_url: str = Field( default="https://fastuml-0bb6938ba599.herokuapp.com", description="RapidChart API base URL" ) default_diagram_type: str = Field( default="general", description="Default diagram type" ) default_model_id: Optional[int] = Field( default=None, description="Default model ID (null = backend default)" ) few_prompts: bool = Field( default=False, description="Enable multi-step thinking by default" ) guidelines: bool = Field( default=True, description="Include diagram guidelines by default" ) timeout: int = Field( default=300, description="Request timeout in seconds" ) @classmethod def from_env(cls) -> "Config": """Load configuration from environment variables""" api_token = os.environ.get("RAPIDCHART_API_TOKEN") if not api_token: raise ValueError( "RAPIDCHART_API_TOKEN environment variable is required. " "Get your token at https://rapidchart.com/settings" ) return cls( api_token=api_token, api_url=os.getenv( "RAPIDCHART_API_URL", "https://fastuml-0bb6938ba599.herokuapp.com" ), default_diagram_type=os.getenv("RAPIDCHART_DEFAULT_TYPE", "general"), default_model_id=int(os.getenv("RAPIDCHART_DEFAULT_MODEL")) if os.getenv("RAPIDCHART_DEFAULT_MODEL") else None, few_prompts=os.getenv("RAPIDCHART_FEW_PROMPTS", "false").lower() == "true", guidelines=os.getenv("RAPIDCHART_GUIDELINES", "true").lower() == "true", timeout=int(os.getenv("RAPIDCHART_TIMEOUT", "300")) )