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MCP Trino Python
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MCP Trino Python

MCP Trino Server is a service based on the Model Context Protocol (MCP), providing seamless integration with Trino and Iceberg, and supporting data exploration, query, and table maintenance through a standard interface.
DatabaseDeveloper tools#Data Query#Table Maintenance#Trino Integration#Iceberg.Python
2.5 points
8.8K
Open Site

Overview

Installation

Content Details

Alternatives

What is MCP Trino Server?

MCP Trino Server is a service based on the Model Context Protocol (MCP) standard. It simplifies the interaction with Trino and Iceberg, allowing users to easily perform data exploration, query execution, and table maintenance operations.

How to use MCP Trino Server?

You can quickly deploy it through a Docker container or directly run a Python script. After configuring the Trino connection parameters, you can access all functions through the standard MCP protocol.

Use cases

It is suitable for data analysis scenarios that require interaction with Trino databases, especially for the management and optimization of data tables stored in Iceberg format.

Main Features

Data Exploration
Provides hierarchical browsing of catalogs, schemas, and tables, and supports viewing table structures and statistical information.
Query Execution
Supports SQL query execution and returns formatted result sets for easy analysis and display.
Iceberg Table Maintenance
Provides advanced maintenance functions such as Iceberg table optimization and snapshot cleaning.
Metadata Inspection
Allows in - depth viewing of Iceberg table metadata, including snapshots, manifest files, and partition information.
Advantages
Standardized interface: Provides a unified access method through the MCP protocol
Comprehensive functions: Covers the entire process from data query to table maintenance
Easy to integrate: Supports multiple clients and development environments
Visualization - friendly: Returns structured data for easy front - end display
Limitations
Requires pre - configuration of Trino connection
Some advanced functions require Iceberg table support
Performance is limited by the underlying Trino cluster

How to Use

Installation and Deployment
Choose an installation method suitable for your environment: Docker container or directly run a Python script.
Configure Connection
Set the connection parameters of the Trino server, including the host, port, and authentication information.
Start Using
Connect and execute commands through supported clients (such as VS Code or Claude Desktop).

Usage Examples

Data Catalog Browsing
Explore available data catalogs and schema structures
Table Structure Analysis
View detailed structure information of a specific table
Iceberg Table Maintenance
Perform optimization operations on an Iceberg table

Frequently Asked Questions

How to connect to a remote Trino server?
Why can't some Iceberg commands be executed?
How are query results formatted and returned?

Related Resources

MCP Protocol Official Website
Official documentation of the Model Context Protocol
Trino Official Documentation
Official documentation of the Trino database
GitHub Repository
Project source code and issue tracking

Installation

Copy the following command to your Client for configuration
{
  "mcpServers": {
    "trino": {
      "command": "python",
      "args": ["./src/server.py"],
      "env": {
        "TRINO_HOST": "your-trino-host",
        "TRINO_PORT": "8080",
        "TRINO_USER": "trino"
      }
    }
  }
}
Note: Your key is sensitive information, do not share it with anyone.

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