MCP Trino Server Overview

The MCP Trino Server is an innovative solution designed to enhance the capabilities of data exploration, querying, and table maintenance by integrating seamlessly with Trino and Iceberg. Developed through the MCP Python SDK, this server acts as a bridge, allowing AI models to access and interact with external data sources and tools, thereby unlocking new possibilities for businesses and developers alike.

Key Features

• Seamless Integration: The MCP Trino Server provides a standard interface for integrating with Trino and Iceberg, making it easier for developers to manage and query data.
• Advanced Data Exploration: Users can perform interactive data exploration and analysis, leveraging the powerful querying capabilities of Trino.
• Automated Maintenance: The server offers automated Iceberg table maintenance and optimization, ensuring data integrity and performance.
• AI-Powered Tools: Build AI-powered tools that can interact with Trino databases, enhancing business intelligence and decision-making.
• SQL Query Management: Execute and manage SQL queries with proper result formatting, streamlining data workflows.

Use Cases

1. Interactive Data Exploration: The MCP Trino Server empowers data scientists and analysts to explore and analyze data interactively, utilizing Trino’s robust querying capabilities.
2. Automated Table Maintenance: Businesses can automate the maintenance and optimization of Iceberg tables, reducing manual intervention and ensuring data accuracy.
3. AI Tool Development: Developers can build AI-powered tools that interact with Trino databases, enabling advanced analytics and insights.
4. SQL Query Execution: Execute and manage SQL queries efficiently, with formatted results that enhance data interpretation.

UBOS Platform Integration

UBOS is a full-stack AI Agent Development Platform focused on bringing AI Agents to every business department. Our platform helps you orchestrate AI Agents, connect them with your enterprise data, and build custom AI Agents with your LLM model and Multi-Agent Systems. The MCP Trino Server complements the UBOS platform by providing a robust backend for data interaction and management, enhancing the capabilities of AI Agents in enterprise environments.

Prerequisites

To use the MCP Trino Server, ensure you have the following:

• A running Trino server (or Docker Compose for local development)
• Python 3.11 or higher
• Docker (optional, for containerized deployment)

Installation and Configuration

Running Trino Locally

To get started quickly, use the included Docker Compose configuration to run Trino locally:

docker-compose up -d

This command will start a Trino server on localhost:8080. You can then proceed with configuring the MCP server.

VS Code Configuration

For quick installation with VS Code, add the following configuration to your settings:

{
  "mcp": {
    "servers": {
      "trino": {
        "command": "docker",
        "args": ["run", "--rm", "ghcr.io/alaturqua/mcp-trino-python:latest"],
        "env": {
          "TRINO_HOST": "${input:trino_host}",
          "TRINO_PORT": "${input:trino_port}",
          "TRINO_USER": "${input:trino_user}"
        }
      }
    }
  }
}

Environment Variables

Configure the following environment variables to customize your server setup:

Conclusion

The MCP Trino Server is a powerful tool for businesses and developers looking to enhance their data exploration and management capabilities. By integrating seamlessly with Trino and Iceberg, it provides a robust platform for building AI-powered tools and automating data workflows. Whether you are a data scientist, developer, or business analyst, the MCP Trino Server offers the features and flexibility you need to succeed in today’s data-driven world.