MCP MITM Mem0

""" Simple configuration for MCP MITM Mem0. Loads settings from environment variables and .env file. """ from pydantic import Field from pydantic_settings import BaseSettings, SettingsConfigDict class Settings(BaseSettings): """Application settings.""" model_config = SettingsConfigDict( env_file=".env", env_file_encoding="utf-8", case_sensitive=False, extra="ignore" ) # Required: Mem0 SaaS API key mem0_api_key: str = Field(..., description="Mem0 API key from https://app.mem0.ai") # Optional: Organization and project for multi-tenancy mem0_org_id: str | None = Field(None, description="Mem0 organization ID (optional)") mem0_project_id: str | None = Field(None, description="Mem0 project ID (optional)") # Optional settings debug: bool = Field(False, description="Enable debug mode") # MITM proxy settings mitm_host: str = Field("localhost", description="MITM proxy host") mitm_port: int = Field(8080, description="MITM proxy port") # MCP server settings mcp_name: str = Field("mcp-mitm-mem0", description="MCP server name") # User identification default_user_id: str = Field( "default_user", description="Default user ID for memories" ) default_agent_id: str = Field( "claude-code", description="Default agent ID for memories" ) # Memory organization memory_categories: list[dict[str, str]] = Field( default=[ { "coding": "Programming languages, syntax, code examples, and development techniques" }, { "debugging": "Error messages, troubleshooting steps, bug fixes, and debugging strategies" }, { "architecture": "System design decisions, architectural patterns, and technical design choices" }, {"preferences": "User preferences, settings, and configuration choices"}, ], description="Custom categories with descriptions for organizing memories", ) # Global settings instance settings = Settings()