# mcp-trino

> mcp-trino — tuannvm-mcp-trino. Use this tool when you need to deploy a high-performance Model Context Protocol server for Trino, solving scalability and efficiency problems in data processing and analysis. It takes Trino queries as input and provides optimized data processing outputs, ideal for large-scale data environments. Utilize mcp-trino in contexts where fast and reliable data processing is crucial, such as big data analytics and machine learning applications.

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

## Description

A high-performance Model Context Protocol (MCP) server for Trino implemented in Go.

## Trust

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

## Facts

- **Version:** 1.0.0
- **Skill type:** atomic
- **Execution layer:** container
- **Runtime environment:** vm
- **Category:** other
- **Updated:** 2026-09-24

## Source

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

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

---
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