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Dataring-engineering/mcp-server-trino

Dataring-engineering/mcp-server-trino

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Works With

Claude CodeCursorWindsurfVS CodeDeveloper tool

About

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

  • 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.
  • 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)

The server reads Trino connection details from environment variables:

Works with Claude (desktop and mobile), Cursor, Windsurf, VS Code, and any MCP-compatible AI app.

Category: Developer Tools

Don't lose this

Three weeks from now, you'll want Dataring-engineering/mcp-server-trino again. Will you remember where to find it?

Save it to your library and the next time you need Dataring-engineering/mcp-server-trino, it’s one tap away — from any AI app you use. Group it into a bench with the rest of the team for that kind of task and you can pull the whole stack at once.

⚡ Pro tip for geeks: add a-gnt 🤵🏻‍♂️ as a custom connector in Claude or a custom GPT in ChatGPT — one click and your library is right there in the chat. Or, if you’re in an editor, install the a-gnt MCP server and say “use my [bench name]” in Claude Code, Cursor, VS Code, or Windsurf.

🤵🏻‍♂️

a-gnt's Take

Our honest review

This plugs directly into your AI and gives it new abilities it didn't have before. Dataring-engineering/mcp-server-trino. Once connected, just ask your AI to use it. It's completely free and works across most major AI apps. This one just landed in the catalog — worth trying while it's fresh.

Tips for getting started

1

Tap "Get" above, pick your AI app, and follow the steps. Most installs take under 30 seconds.

What's New

Version 1.0.06 days ago

Imported from awesome:punkpeye/awesome-mcp-servers

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