Dataring-engineering_mcp-server-trino
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The Trino MCP Server allows users to list and query tables via Trino using Python, leveraging the Model-Control-Protocol (MCP) for seamless integration.
The Trino MCP Server is designed to facilitate the interaction between AI models, data, and tools using the Model-Control-Protocol (MCP). It provides a robust interface for listing and querying tables through Trino, a distributed SQL query engine optimized for big data analytics. By utilizing Trino's Python client, the server connects to a specified Trino host, catalog, and schema, enabling users to execute SQL queries and access table contents efficiently. The server is configured through environment variables, ensuring flexibility and ease of deployment across different environments. This setup is particularly beneficial for data scientists and engineers looking to integrate Trino's powerful querying capabilities with AI-driven workflows.
Features
- Integration with Trino: Connects to Trino using its Python client for seamless data querying.
- MCP Protocol Support: Utilizes MCP to bridge AI models, data, and tools effectively.
- Environment Configuration: Uses environment variables for flexible server configuration.
- SQL Query Execution: Provides tools for executing arbitrary SQL queries against Trino.
- Table Listing and Querying: Lists Trino tables as MCP resources and allows reading of table contents.
