Trino MCP server

Trino MCP Server in Go

A high-performance Model Context Protocol (MCP) server for Trino implemented in Go. This project enables AI assistants to seamlessly interact with Trino's distributed SQL query engine through standardized MCP tools.

Overview

This project implements a Model Context Protocol (MCP) server for Trino in Go. It enables AI assistants to access Trino's distributed SQL query engine through standardized MCP tools.

Trino (formerly PrestoSQL) is a powerful distributed SQL query engine designed for fast analytics on large datasets.

Architecture

graph TB
    subgraph "AI Clients"
        CC[Claude Code]
        CD[Claude Desktop]
        CR[Cursor]
        WS[Windsurf]
        CW[ChatWise]
    end
    
    subgraph "Authentication (Optional)"
        OP[OAuth Provider<br/>Okta/Google/Azure AD]
        JWT[JWT Tokens]
    end
    
    subgraph "MCP Server (mcp-trino)"
        HTTP[HTTP Transport<br/>/mcp endpoint]
        STDIO[STDIO Transport]
        AUTH[OAuth Middleware]
        TOOLS[MCP Tools<br/>• execute_query<br/>• list_catalogs<br/>• list_schemas<br/>• list_tables<br/>• get_table_schema<br/>• explain_query]
    end
    
    subgraph "Data Layer"
        TRINO[Trino Cluster<br/>Distributed SQL Engine]
        CATALOGS[Data Sources<br/>• PostgreSQL<br/>• MySQL<br/>• S3/Hive<br/>• BigQuery<br/>• MongoDB]
    end
    
    %% Connections
    CC -.->|OAuth Flow| OP
    OP -.->|JWT Token| JWT
    
    CC -->|HTTP + JWT| HTTP
    CD -->|STDIO| STDIO
    CR -->|HTTP + JWT| HTTP
    WS -->|STDIO| STDIO
    CW -->|HTTP + JWT| HTTP
    
    HTTP --> AUTH
    AUTH -->|Validated| TOOLS
    STDIO --> TOOLS
    
    TOOLS -->|SQL Queries| TRINO
    TRINO --> CATALOGS
    
    %% Styling
    classDef client fill:#e1f5fe
    classD

Key Components:

• AI Clients: Various MCP-compatible applications
• Authentication: Optional OAuth 2.0 with OIDC providers
• MCP Server: Go-based server with dual transport support
• CLI Mode: Interactive SQL shell for direct Trino access (psql-like)
• Data Layer: Trino cluster connecting to multiple data sources

Features

Shortened. The full README is on GitHub.