# mcp-trino

> mcp-trino — txn2-mcp-trino. Use this tool when you need to integrate AI assistants with data warehouses, enabling querying and exploration of data through a Model Context Protocol (MCP) server. It solves problems of data accessibility and interpretability for AI agents, providing a interface to input queries and output relevant data insights. Ideal for use cases where AI-driven data analysis and decision-making are required, such as data warehousing and business intelligence applications.

Canonical page: https://skillsregistry.net/skills/txn2-mcp-trino  
JSON: https://api.skillsregistry.net/v1/skills/txn2-mcp-trino

## Description

A Model Context Protocol (MCP) server for Trino, enabling AI assistants like Claude to query and explore data warehouses.

## Trust

- **Trust score (0–1):** 0.89
- **Verification tier:** verified
- **Last scanned:** 2026-09-28

## Facts

- **Version:** 1.0.0
- **Skill type:** atomic
- **Execution layer:** container
- **Runtime environment:** vm
- **Category:** data-analytics
- **Updated:** 2026-09-28

## Source

- **Source listing:** [GitHub](https://github.com/txn2/mcp-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": "txn2-mcp-trino"
    }
  }
}
```

REST: `GET https://api.skillsregistry.net/v1/skills/txn2-mcp-trino` · pull for local use: `GET https://api.skillsregistry.net/v1/skills/txn2-mcp-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