Trino
Integrates with Trino databases to enable natural language querying, data analysis, and SQL execution via a FastAPI-based REST int
This MCP server implementation provides a bridge between large language models (LLMs) and Trino databases. Developed by the Trino MCP Team, it offers a FastAPI-based REST interface for executing SQL queries against Trino via the Model Context Protocol. The server supports features like query explanation, custom catalogs and schemas, and formatted result output. It's designed for use cases requiring AI assistants to interact with Trino-managed data, such as natural language querying of data warehouses or AI-driven data analysis.
Source
Repository: https://github.com/stinkgen/trino_mcp
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