iflow-mcp_dataring-engineering_mcp_server_trino 0.1.1

A Model Context Protocol (MCP) server that enables secure interaction with Trino. This server allows AI assistants to list tables, read data, and execute SQL queries through a controlled interface, making data exploration and analysis safer and more structured.

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.

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>"
      }
    }
  }
}