MCP Server

"""Configuration for National Dairy Farm MCP Server.""" import os from typing import Optional from pydantic_settings import BaseSettings class DairyFarmConfig(BaseSettings): """Configuration settings for the Dairy Farm MCP Server.""" # Dairy Farm API Configuration dairy_farm_api_url: str = "https://eval.nationaldairyfarm.com/dfdm/api" dairy_farm_client_id: Optional[str] = None dairy_farm_client_secret: Optional[str] = None # MCP Server Configuration mcp_server_host: str = "localhost" mcp_server_port: int = 8001 mcp_server_title: str = "National Dairy Farm MCP Server" mcp_server_description: str = "Model Context Protocol server for National Dairy FARM Program API" mcp_server_version: str = "1.0.0" # API Configuration api_timeout: int = 30 api_version: str = "3.2" max_retries: int = 3 # Authentication token_refresh_threshold_minutes: int = 5 # Logging log_level: str = "INFO" # Environment-specific settings environment: str = "development" debug: bool = True class Config: env_file = ".env" env_prefix = "DAIRY_FARM_" case_sensitive = False class MCPClientConfig(BaseSettings): """Configuration for MCP clients connecting to this server.""" # Client authentication (optional) require_client_auth: bool = False valid_client_tokens: list = [] # Rate limiting requests_per_minute: int = 100 burst_limit: int = 20 class Config: env_file = ".env" env_prefix = "MCP_CLIENT_" case_sensitive = False # Global configuration instances dairy_farm_config = DairyFarmConfig() mcp_client_config = MCPClientConfig() def get_dairy_farm_config() -> DairyFarmConfig: """Get Dairy Farm configuration.""" return dairy_farm_config def get_mcp_client_config() -> MCPClientConfig: """Get MCP client configuration.""" return mcp_client_config