Skip to main content
Glama
app_config.py1.18 kB
""" Configuration for Hugging Face Spaces deployment """ import os from dotenv import load_dotenv # Load environment variables load_dotenv() class HFSpacesConfig: """Configuration class for Hugging Face Spaces deployment""" # API Configuration GEMINI_API_KEY = os.getenv("GEMINI_API_KEY") # Database Configuration DATABASE_URL = os.getenv("DATABASE_URL", "sqlite:///./data/mcp_server.db") # Server Configuration HOST = os.getenv("HOST", "0.0.0.0") PORT = int(os.getenv("PORT", "7860")) # Hugging Face Spaces default port # CORS Configuration ALLOWED_ORIGINS = os.getenv("ALLOWED_ORIGINS", "*").split(",") # Rate Limiting RATE_LIMIT_REQUESTS = int(os.getenv("RATE_LIMIT_REQUESTS", "100")) RATE_LIMIT_PERIOD = int(os.getenv("RATE_LIMIT_PERIOD", "3600")) # Logging LOG_LEVEL = os.getenv("LOG_LEVEL", "INFO") @classmethod def validate(cls): """Validate required configuration""" if not cls.GEMINI_API_KEY: raise ValueError("GEMINI_API_KEY environment variable is required") return True # Global config instance config = HFSpacesConfig()

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/ChiragPatankar/MCP'

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