MCP Trino Server

0
0 Reviews
15 Stars
MCP Trino Server enables seamless integration between MCP and Trino, facilitating data exploration, query execution, and table maintenance through a standard interface, suitable for data analysts and developers.
Added on:
Created by:
Apr 25 2025
MCP Trino Server

MCP Trino Server

0 Reviews
15
0
MCP Trino Server
MCP Trino Server enables seamless integration between MCP and Trino, facilitating data exploration, query execution, and table maintenance through a standard interface, suitable for data analysts and developers.
Added on:
Created by:
Apr 25 2025
Isa Inalcik
Featured

What is MCP Trino Server?

The MCP Trino Server is a Model Context Protocol (MCP) server designed to connect with Trino, a distributed SQL query engine. Developed using the MCP Python SDK, this server allows users to perform advanced data exploration, execute complex SQL queries, and maintain Iceberg tables efficiently. It supports functionalities like listing catalogs, schemas, tables, executing queries, and managing Iceberg tables, such as optimization and snapshot management. The server is ideal for data engineers, data scientists, and developers who require robust, scalable data querying and management capabilities within their data infrastructure.

Who will use MCP Trino Server?

  • Data Engineers
  • Data Scientists
  • Developers
  • Database Administrators

How to use the MCP Trino Server?

  • Step1: Ensure Trino server is running or deploy via Docker Compose
  • Step2: Install MCP Trino Server using appropriate installation method
  • Step3: Configure environment variables for connecting to Trino
  • Step4: Use supported tools to list catalogs, schemas, and tables
  • Step5: Execute SQL queries or perform table maintenance as needed

MCP Trino Server's Core Features & Benefits

The Core Features
  • show_catalogs
  • show_schemas
  • show_tables
  • describe_table
  • execute_query
  • show_catalog_tree
  • show_create_table
  • show_stats
  • optimize
  • show_snapshots
  • show_files
  • show_entries
The Benefits
  • Enables seamless data exploration in Trino
  • Automates Iceberg table maintenance
  • Supports complex query execution
  • Provides detailed metadata inspection
  • Facilitates scalable data management

MCP Trino Server's Main Use Cases & Applications

  • Interactive data analysis in Trino
  • Automated maintenance of Iceberg tables
  • Building AI-powered data tools
  • SQL query execution and management

FAQs of MCP Trino Server

Developer

You may also like:

Developer Tools

A desktop application for managing server and client interactions with comprehensive functionalities.
A Model Context Protocol server for Eagle that manages data exchange between Eagle app and data sources.
A chat-based client that integrates and uses various MCP tools directly within a chat environment for enhanced productivity.
A Docker image hosting multiple MCP servers accessible through a unified entry point with supergateway integration.
Provides access to YNAB account balances, transactions, and transaction creation through MCP protocol.
A fast, scalable MCP server for managing real-time multi-client Zerodha trading operations.
A remote SSH client facilitating secure, proxy-based access to MCP servers for remote tool utilization.
A Spring-based MCP server integrating AI capabilities for managing and processing Minecraft mod communication protocols.
A minimalistic MCP client with essential chat features, supporting multiple models and contextual interactions.
A secure MCP server enabling AI agents to interact with Authenticator App for 2FA codes and passwords.

Research And Data

A server implementation supporting Model Context Protocol, integrating CRIC's industrial AI capabilities.
Provides real-time traffic, air quality, weather, and bike-sharing data for Valencia city in a unified platform.
A React application demonstrating integration with Supabase via MCP tools and Tambo for UI component registration.
A MCP client integrating Brave Search API for web searches, utilizing MCP protocol for efficient communication.
A protocol server enabling seamless communication between Umbraco CMS and external applications.
NOL integrates LangChain and Open Router to create a multi-client MCP server using Next.js
Connects LLMs to Firebolt Data Warehouse for autonomous querying, data access, and insight generation.
A client framework for connecting AI agents to MCP servers, enabling tool discovery and integration.
Spring Link facilitates linking and managing multiple Spring Boot applications efficiently within a unified environment.
An open-source client to interact with multiple MCP servers, enabling seamless tool access for Claude.

Databases

A client for managing and interacting with MCPs in Chainlit, enabling database queries, view management, and database setup.
A tool that detects, records, and documents schema changes in Supabase PostgreSQL databases automatically.
A client tool designed to facilitate SQL query management and database interactions for enterprise users.
A MCP to enable natural language expense analysis and querying on SQLite databases for expense records.
A Python-based MCP client for PostgreSQL, enabling seamless integration of PostgreSQL databases into MCP workflows.
A server to enable secure and high-performance access to Alibaba Cloud PolarDB clusters using MCP protocol.
A command-line MCP client enabling natural language interactions with SQLite databases through LLM API.
A server that enables direct SQL query execution on PostgreSQL databases, supporting parameterized queries and timeouts.
A Go-based MCP server enabling AI models to interact with MySQL databases for querying and management.
A server enabling natural language interaction with OpenSearch clusters for health, indexing, and search management.