AIBase
EN
Explore
MCP Trino Python
M

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
10.0K
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.

Alternatives

R
Rsdoctor
Rsdoctor is a build analysis tool specifically designed for the Rspack ecosystem, fully compatible with webpack. It provides visual build analysis, multi - dimensional performance diagnosis, and intelligent optimization suggestions to help developers improve build efficiency and engineering quality.
TypeScript
9.5K
5 points
N
Next Devtools MCP
The Next.js development tools MCP server provides Next.js development tools and utilities for AI programming assistants such as Claude and Cursor, including runtime diagnostics, development automation, and document access functions.
TypeScript
9.2K
5 points
T
Testkube
Testkube is a test orchestration and execution framework for cloud-native applications, providing a unified platform to define, run, and analyze tests. It supports existing testing tools and Kubernetes infrastructure.
Go
6.7K
5 points
M
MCP Windbg
An MCP server that integrates AI models with WinDbg/CDB for analyzing Windows crash dump files and remote debugging, supporting natural language interaction to execute debugging commands.
Python
10.5K
5 points
R
Runno
Runno is a collection of JavaScript toolkits for securely running code in multiple programming languages in environments such as browsers and Node.js. It achieves sandboxed execution through WebAssembly and WASI, supports languages such as Python, Ruby, JavaScript, SQLite, C/C++, and provides integration methods such as web components and MCP servers.
TypeScript
9.7K
5 points
N
Netdata
Netdata is an open-source real-time infrastructure monitoring platform that provides second-level metric collection, visualization, machine learning-driven anomaly detection, and automated alerts. It can achieve full-stack monitoring without complex configuration.
Go
10.2K
5 points
M
MCP Server
The Mapbox MCP Server is a model context protocol server implemented in Node.js, providing AI applications with access to Mapbox geospatial APIs, including functions such as geocoding, point - of - interest search, route planning, isochrone analysis, and static map generation.
TypeScript
8.2K
4 points
U
Uniprof
Uniprof is a tool that simplifies CPU performance analysis. It supports multiple programming languages and runtimes, does not require code modification or additional dependencies, and can perform one-click performance profiling and hotspot analysis through Docker containers or the host mode.
TypeScript
8.4K
4.5 points
N
Notion Api MCP
Certified
A Python-based MCP Server that provides advanced to-do list management and content organization functions through the Notion API, enabling seamless integration between AI models and Notion.
Python
19.3K
4.5 points
G
Gitlab MCP Server
Certified
The GitLab MCP server is a project based on the Model Context Protocol that provides a comprehensive toolset for interacting with GitLab accounts, including code review, merge request management, CI/CD configuration, and other functions.
TypeScript
23.2K
4.3 points
M
Markdownify MCP
Markdownify is a multi-functional file conversion service that supports converting multiple formats such as PDFs, images, audio, and web page content into Markdown format.
TypeScript
32.7K
5 points
D
Duckduckgo MCP Server
Certified
The DuckDuckGo Search MCP Server provides web search and content scraping services for LLMs such as Claude.
Python
65.4K
4.3 points
U
Unity
Certified
UnityMCP is a Unity editor plugin that implements the Model Context Protocol (MCP), providing seamless integration between Unity and AI assistants, including real - time state monitoring, remote command execution, and log functions.
C#
29.0K
5 points
F
Figma Context MCP
Framelink Figma MCP Server is a server that provides access to Figma design data for AI programming tools (such as Cursor). By simplifying the Figma API response, it helps AI more accurately achieve one - click conversion from design to code.
TypeScript
60.9K
4.5 points
C
Context7
Context7 MCP is a service that provides real-time, version-specific documentation and code examples for AI programming assistants. It is directly integrated into prompts through the Model Context Protocol to solve the problem of LLMs using outdated information.
TypeScript
89.5K
4.7 points
G
Gmail MCP Server
A Gmail automatic authentication MCP server designed for Claude Desktop, supporting Gmail management through natural language interaction, including complete functions such as sending emails, label management, and batch operations.
TypeScript
21.0K
4.5 points
AIBase
Zhiqi Future, Your AI Solution Think Tank
English简体中文繁體中文にほんご
© 2026AIBase