Trino MCP Server

This repository provides an MCP (Model-Control-Protocol) server that allows you to list and query tables via Trino using Python.

Overview

MCP: MCP is a protocol for bridging AI models, data, and tools. This example MCP server provides:
- A list of Trino tables as MCP resources
- Ability to read table contents through MCP
- A tool for executing arbitrary SQL queries against Trino
Trino: A fast, distributed SQL query engine for big data analytics. This server makes use of Trino’s Python client (trino.dbapi) to connect to a Trino host, catalog, and schema.

Related MCP server: MCP Trino Server

Requirements

Python 3.9+ (or a version compatible with mcp, trino, and asyncio)
trino (the Python driver for Trino)
mcp (the Model-Control-Protocol Python library)

Configuration

The server reads Trino connection details from environment variables:

Variable	Description	Default
`TRINO_HOST`	Trino server hostname or IP	`localhost`
`TRINO_PORT`	Trino server port	`8080`
`TRINO_USER`	Trino user name	required
`TRINO_PASSWORD`	Trino password (optional, depends on your authentication setup)	(empty)
`TRINO_CATALOG`	Default catalog to use (e.g., `hive` , `tpch` , `postgresql` , etc.)	required
`TRINO_SCHEMA`	Default schema to use (e.g., `default` , `public` , etc.)	required

Usage

{ "mcpServers": { "trino": { "command": "uv", "args": [ "--directory", "<path_to_mcp_server_trino>", "run", "mcp_server_trino" ], "env": { "TRINO_HOST": "<host>", "TRINO_PORT": "<port>", "TRINO_USER": "<user>", "TRINO_PASSWORD": "<password>", "TRINO_CATALOG": "<catalog>", "TRINO_SCHEMA": "<schema>" } } } }