Skip to main content
Glama

Trino MCP Server

by stinkgen
config.py1.97 kB
""" Configuration module for the Trino MCP server. """ from dataclasses import dataclass, field from typing import Any, Dict, Optional @dataclass class TrinoConfig: """Configuration for the Trino connection.""" host: str = "localhost" port: int = 8080 user: str = "trino" password: Optional[str] = None catalog: Optional[str] = None schema: Optional[str] = None http_scheme: str = "http" auth: Optional[Any] = None max_attempts: int = 3 request_timeout: float = 30.0 http_headers: Dict[str, str] = field(default_factory=dict) verify: bool = True @property def connection_params(self) -> Dict[str, Any]: """Return connection parameters for the Trino client.""" params = { "host": self.host, "port": self.port, "user": self.user, "http_scheme": self.http_scheme, "max_attempts": self.max_attempts, "request_timeout": self.request_timeout, "verify": self.verify, } if self.password: params["password"] = self.password if self.auth: params["auth"] = self.auth if self.http_headers: params["http_headers"] = self.http_headers return params @dataclass class ServerConfig: """Configuration for the MCP server.""" name: str = "Trino MCP" version: str = "0.1.0" transport_type: str = "stdio" # "stdio" or "sse" host: str = "127.0.0.1" port: int = 3000 debug: bool = False trino: TrinoConfig = field(default_factory=TrinoConfig) def load_config_from_env() -> ServerConfig: """ Load configuration from environment variables. Returns: ServerConfig: The server configuration. """ # This would normally load from environment variables or a config file # For now, we'll just return the default config return ServerConfig()

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/stinkgen/trino_mcp'

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