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MCP Trino Server

@alaturqua

Repository

Basic information

Category

Other

License

Apache-2.0

Transports

stdio

Author

alaturqua

About MCP Trino Server

MCP Server for Trino developed via MCP Python SDK

MCP Trino Server config

Add this server to your MCP-compatible client using the configuration below.

{
  "mcpServers": {
    "mcp-trino-python": {
      "command": "npx",
      "args": [
        "-y",
        "@smithery/cli",
        "install",
        "@alaturqua/mcp-trino-python",
        "--client",
        "claude"
      ]
    }
  }
}

MCP Trino Server tools

Tool list not available yet

This listing does not currently have a tool list to display. This does not mean the server has no tools; check its documentation for supported capabilities.

Fetch the live tool list by running this server in a temporary sandbox using the button above.

Overview

What is MCP Trino Server?

MCP Trino Server is a Model Context Protocol (MCP) server that provides seamless integration with Trino and Iceberg, enabling advanced data exploration, querying, and table maintenance through a standard interface. It is designed for developers and data engineers building AI‑powered tools that interact with Trino databases.

How to use MCP Trino Server?

Install via uv, pip, or Docker, then configure using environment variables (TRINO_HOST, TRINO_PORT, TRINO_USER, etc.). Run the server with python src/server.py (or the Docker equivalent) using one of three transport modes: stdio (default), streamable‑http, or sse. Connect an MCP client (e.g., VS Code or Claude Desktop) by providing the server’s command and configuration.

Key features of MCP Trino Server

  • Execute SQL queries with formatted results
  • Browse catalogs, schemas, and tables hierarchically
  • Perform Iceberg table maintenance (optimize, expire snapshots)
  • Inspect Iceberg metadata (snapshots, manifests, partitions, files)
  • Supports stdio, streamable‑HTTP, and SSE transports
  • Configurable via environment variables or .env file

Use cases of MCP Trino Server

  • Interactive data exploration and analysis in Trino
  • Automated Iceberg table maintenance and optimization
  • Building AI‑powered tools that interact with Trino databases
  • Executing and managing SQL queries with proper result formatting

Frequently asked questions

1

What are the prerequisites to run MCP Trino Server?

You need Python 3.12 or higher and a running Trino server (Docker Compose is available for local development). Docker is optional but recommended for containerized deployment.

2

What transport modes are supported?

The server supports `stdio` (default, for local MCP clients like VS Code and Claude Desktop), `streamable‑http` (for remote or web access), and `sse` (Server‑Sent Events, legacy HTTP transport).

3

How do I configure the server?

Configure via environment variables: `TRINO_HOST`, `TRINO_PORT`, `TRINO_USER`, `TRINO_CATALOG`, `TRINO_SCHEMA`, `TRINO_HTTP_SCHEME`, and optionally `TRINO_PASSWORD`. You can also use a `.env` file.

4

Does the server support authentication to Trino?

Yes, you can set the `TRINO_PASSWORD` environment variable to provide a password for authentication to the Trino server.

5

Can I deploy the server in a container?

Yes. Build the Docker image with `docker build -t mcp-trino-python .` and run it with either `stdio` or `streamable‑http` transport. Docker Compose profiles are also provided for quick start.

Comments

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