# Trino (SQL Query Engine)

> Use this tool when you need to seamlessly integrate AI assistants with Trino/Iceberg databases for interactive data analysis, automated table maintenance, and building AI-powered tools. It provides a standardized interface for querying and maintaining tables, handling connection management, query formatting, and catalog navigation. Ideal for use cases involving data exploration, SQL execution, and table optimization, this tool enables efficient interaction with Trino databases through a Python implementation.

Canonical page: https://skillsregistry.net/skills/alaturqua-trino  
JSON: https://api.skillsregistry.net/v1/skills/alaturqua-trino

## Description

MCP Trino Server provides seamless integration between AI assistants and Trino/Iceberg databases through a standardized interface. Developed by alaturqua, this Python implementation exposes Trino's querying capabilities and Iceberg's table maintenance operations as MCP resources and tools, enabling data exploration, SQL execution, and table optimization. The server handles connection management, query formatting, and catalog navigation while supporting environment-based configuration, making it particularly valuable for interactive data analysis, automated table maintenance, and building AI-powered tools that interact with Trino databases.

## Trust

- **Trust score (0–1):** 0.99
- **Verification tier:** verified
- **Last scanned:** 2026-09-28

## Facts

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

## Source

- **Source listing:** [PulseMCP](https://www.pulsemcp.com/servers/alaturqua-trino)
- **Repository:** <https://github.com/alaturqua/mcp-trino-python>

## 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": "alaturqua-trino"
    }
  }
}
```

REST: `GET https://api.skillsregistry.net/v1/skills/alaturqua-trino` · pull for local use: `GET https://api.skillsregistry.net/v1/skills/alaturqua-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