by alaturqua
Seamlessly connect AI systems to Trino (SQL Query Engine) for powerful SQL execution, data exploration, and efficient da
Connects AI systems to Trino databases for executing SQL queries, exploring data, and managing Iceberg table maintenance operations.
Trino (SQL Query Engine) is a community-built MCP server published by alaturqua that provides AI assistants with tools and capabilities via the Model Context Protocol. Seamlessly connect AI systems to Trino (SQL Query Engine) for powerful SQL execution, data exploration, and efficient da It is categorized under databases, analytics data.
You can install Trino (SQL Query Engine) in your AI client of choice. Use the install panel on this page to get one-click setup for Cursor, Claude Desktop, VS Code, and other MCP-compatible clients. This server runs locally on your machine via the stdio transport.
Apache-2.0
Trino (SQL Query Engine) is released under the Apache-2.0 license. This is a permissive open-source license, meaning you can freely use, modify, and distribute the software.
README content is unavailable from source data for this server.
Open GitHub repository →Enable Claude to query your database directly using natural language
Example
Ask 'Show me top 10 customers by revenue this month' and get SQL results instantly
Eliminate manual SQL writing for ad-hoc queries, get insights 10x faster
Generate complex reports and analytics without leaving conversation
Example
Analyze sales trends, cohort retention, user behavior patterns conversationally
Democratize data access—non-technical team members can query databases
Understand database structure, relationships, and data models
Example
'Explain the user_orders table schema and its relationships'
Onboard engineers faster, explore unfamiliar databases efficiently
Share your MCP server with the developer community
We evaluated Trino (SQL Query Engine) against two servers with overlapping tools; this profile had the clearer scope statement.
Trino (SQL Query Engine) is a well-scoped MCP server in the explainx.ai directory — install snippets and categories matched our Claude Code setup.
We wired Trino (SQL Query Engine) into a staging workspace; the listing’s GitHub and npm pointers saved time versus hunting across READMEs.
Strong directory entry: Trino (SQL Query Engine) surfaces stars and publisher context so we could sanity-check maintenance before adopting.
Trino (SQL Query Engine) reduced integration guesswork — categories and install configs on the listing matched the upstream repo.
Trino (SQL Query Engine) is among the better-indexed MCP projects we tried; the explainx.ai summary tracks the official description.
According to our notes, Trino (SQL Query Engine) benefits from clear Model Context Protocol framing — fewer ambiguous “AI plugin” claims.
Trino (SQL Query Engine) reduced integration guesswork — categories and install configs on the listing matched the upstream repo.
I recommend Trino (SQL Query Engine) for teams standardizing on MCP; the explainx.ai page compares cleanly with sibling servers.
Useful MCP listing: Trino (SQL Query Engine) is the kind of server we cite when onboarding engineers to host + tool permissions.
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eRegulations
eRegulations makes admin procedure data easy to access, helping users understand the Administrative Procedure Act seamle
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Run data quality queries to catch anomalies and inconsistencies
Example
Find duplicate records, missing values, orphaned foreign keys automatically
Maintain data integrity with less manual SQL work
Prerequisites
Time Estimate
15-30 minutes including configuration and testing
Steps
Troubleshooting
✓ Do
✗ Don't
💡 Pro Tips
Architecture
MCP server acts as bridge between Claude and database, translating natural language to SQL queries and returning results in structured format.
Protocols
Compatibility
✓ Use when
Use for ad-hoc data queries, exploratory analysis, report generation, schema exploration, and democratizing data access. Best for read-heavy analytics workloads.
✗ Avoid when
Avoid for production write operations, mission-critical transactions, real-time OLTP workloads, or when database contains sensitive PII without proper access controls. Use read replicas, not primary.