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MCP server · Data

Dataring-engineering/mcp-server-trino

by · github.com/Dataring-engineering/mcp-server-trino

MCP Server for Trino

Unclaimed MIT last commit a year ago devtools
InstallView source
54Fair

Scored 4 months ago · breakdown

About Dataring-engineering/mcp-server-trino

Dataring-engineering/mcp-server-trino is an MCP server published by Dataring-engineering in the Data category: mCP Server for Trino. It has been installed 0 times through Conduid.

The repository has 18 stars and 12 forks, with the last commit a year ago. Six months or more without a commit doesn't mean the server is broken, but check the open issues (0) before depending on it in production.

Install

Install
npx mcp-server-trino

This server has no ConduID identity, so agent calls to it are not receipted. Pin the version you install and review the source before granting it credentials.

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Security checks

  • ·README presentNot checked yet.
  • ·License declaredNot checked yet.
  • ·Tests presentNot checked yet.
  • ·Dependencies pinnedNot checked yet.
  • ·No dynamic code executionNot checked yet.
  • !Scoped permissionsDoesn't declare a permission scope. Assume it can do anything its process can.

README

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>"
      }
    }
  }
}

README mirrored from the source repository 4 months ago. The original is authoritative.

Questions

About Dataring-engineering/mcp-server-trino

How do I install Dataring-engineering/mcp-server-trino?

Run npx mcp-server-trino, then add the server to your MCP client's configuration. Conduid has recorded 0 installs, so the command is known to work with current clients.

Is Dataring-engineering/mcp-server-trino safe to use with an AI agent?

Its trust score is 54 out of 100 (fair). It passes 0 of 1 static security checks; the failures are listed above. It has no ConduID identity yet, so agent calls to it are not receipted.

Is Dataring-engineering/mcp-server-trino still maintained?

The last commit was a year ago, with 0 open issues. That's long enough that you should check whether the maintainer is responding to issues before depending on it.