# Trino MCP Server

> Use this tool when you need to interact with Trino tables using Python, enabling programmatic access to data resources for querying and listing. It solves problems related to data exploration, analysis, and integration by providing a Model-Control-Protocol interface. The Trino MCP Server takes Python queries as input and returns query results, making it suitable for use cases that require automated data processing and analysis.

Canonical page: https://skillsregistry.net/skills/dataring-engineering-mcp-server-trino  
JSON: https://api.skillsregistry.net/v1/skills/dataring-engineering-mcp-server-trino

## Description

An MCP server that enables listing and querying Trino tables using Python, providing access to data resources through the Model-Control-Protocol.

## Trust

- **Trust score (0–1):** 0.93
- **Verification tier:** verified
- **Last scanned:** 2026-09-28

## Facts

- **Version:** 1.0.0
- **Skill type:** atomic
- **Execution layer:** mcp-remote
- **Runtime environment:** api
- **Category:** other
- **Updated:** 2026-09-28

## Source

- **Source listing:** [Glama](https://glama.ai/mcp/servers/m94exir35y)
- **Repository:** <https://github.com/Dataring-engineering/mcp-server-trino>

## Use it

Resolve this record through the SkillsRegistry MCP server (no auth, read-only):

```
claude mcp add --transport http --scope user skillsregistry https://api.skillsregistry.net/mcp
```

```json
{
  "jsonrpc": "2.0",
  "id": 1,
  "method": "tools/call",
  "params": {
    "name": "get_skill",
    "arguments": {
      "slug": "dataring-engineering-mcp-server-trino"
    }
  }
}
```

REST: `GET https://api.skillsregistry.net/v1/skills/dataring-engineering-mcp-server-trino` · pull for local use: `GET https://api.skillsregistry.net/v1/skills/dataring-engineering-mcp-server-trino/pull`

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SkillsRegistry indexes agent skills from public registries and GitHub. Skills we have analysed are scanned with Circle-IR and scored on six dimensions; each listing states its scan coverage. More: https://skillsregistry.net/llms.txt