The MCP Server for Trino acts as a bridge between clients and the Trino distributed SQL engine, offering functionalities to list available tables as resources, read table contents, and execute arbitrary SQL queries. It leverages Python and Trino’s Python client to connect to the Trino engine, allowing seamless integration for data analytics, reporting, and management. Connection settings are configurable via environment variables, making deployment flexible across various environments. This server is suitable for data engineers, analysts, and developers needing programmatic data access and manipulation capabilities on large datasets stored in Trino-compatible storage systems.
Who will use MCP Server for Trino?
Data Engineers
Data Analysts
Backend Developers
Data Scientists
How to use the MCP Server for Trino?
Configure environment variables with Trino connection details
Start the MCP server using the provided command
Use client applications to list tables, read data, or execute SQL queries through the MCP interface
MCP Server for Trino's Core Features & Benefits
The Core Features
List Trino tables
Read table contents
Execute SQL queries
The Benefits
Programmatic access to Trino data
Flexible configuration and deployment
Supports large-scale data analytics
MCP Server for Trino's Main Use Cases & Applications
Data analytics and reporting
Automated data pipeline integration
Data exploration and validation in Trino databases