What Python version and dependencies are required?
Python 3.9+ and the packages `trino`, `mcp`, and `asyncio`.
@Dataring-engineering
基本情報
MCP Server for Trino
ツール一覧はまだありません
この掲載には表示できるツール一覧がまだありません。サーバーにツールがないという意味ではありません。対応機能はプロジェクトのドキュメントをご確認ください。
ツールは README から自動的に抽出されます。メンテナーは ## Tools という見出しの下に記載することで、このタブに反映できます。
A Model Context Protocol (MCP) server that lists and queries tables via Trino using Python. It provides Trino tables as MCP resources, allows reading their contents, and includes a tool for executing arbitrary SQL queries against Trino. Designed for AI models that need to interact with Trino’s fast, distributed SQL query engine for big data analytics.
Configure connection via environment variables (TRINO_HOST, TRINO_PORT, TRINO_USER, TRINO_PASSWORD, TRINO_CATALOG, TRINO_SCHEMA), then add the server to your MCP client configuration using uv as the command. The server reads these variables at startup and connects to the specified Trino host, catalog, and schema.
trino.dbapi).Python 3.9+ and the packages `trino`, `mcp`, and `asyncio`.
Set the environment variables `TRINO_HOST`, `TRINO_PORT`, `TRINO_USER`, `TRINO_CATALOG`, and `TRINO_SCHEMA`. `TRINO_PASSWORD` is optional depending on your authentication setup.
The server supports an optional password via the `TRINO_PASSWORD` variable, but the README does not describe other authentication methods.
It can list available Trino tables, read their contents, and execute arbitrary SQL queries through MCP.
`TRINO_HOST` defaults to `localhost`, `TRINO_PORT` defaults to `8080`. All other connection variables are required except `TRINO_PASSWORD`, which defaults to empty.
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