# Trino

> Use this tool when you need to securely explore and analyze data in a controlled environment, solving problems like data discovery and querying. It provides a standardized interface to list tables, read data, and execute SQL queries, accepting environment-based configuration as input and producing query results as output. Ideal for use cases requiring robust data analysis and error handling, such as data sampling and SQL command execution.

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

## Description

A Trino MCP server that enables secure, controlled data exploration and analysis by providing tools to list tables, read data, and execute SQL queries through a standardized interface. Built by Mahesh Premachandran, this implementation allows AI assistants to interact with Trino databases using environment-based configuration, supporting operations like querying tables, retrieving data samples, and running SQL commands with robust error handling.

## Trust

- **Trust score (0–1):** 0.50
- **Verification tier:** unverified

## Facts

- **Version:** 1.0.0
- **Skill type:** atomic
- **Execution layer:** mcp-remote
- **Runtime environment:** api
- **Category:** database
- **Updated:** 2026-04-25

## Source

- **Source listing:** [PulseMCP](https://www.pulsemcp.com/servers/mahesh-premachandran-trino)
- **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": "mahesh-premachandran-trino"
    }
  }
}
```

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