Trino MCP Server
Related Servers
Alternatives to Trino MCP Server
No user-submitted related servers found.
Related Servers
- FlicenseNot gradedqualityCmaintenanceEnables natural-language queries on Trino big data platforms, generating validated, schema-aware SQL via RAG and local LLM inference, and exposes metadata, query, and profiling tools through MCP.1-
- AlicenseAqualityAmaintenanceEnables AI agents to query Trino and Apache Pinot lakehouses under enforced governance, where every SQL statement is AST-validated, table-allowlisted, priced from the engine's own plan before it runs, and blocked or admitted against scan-byte and intermediate-row budgets. It also grounds agents with schema discovery tools, returns verified results with warnings instead of misleading answers, and records every tool call on an audit trail.3Apache 2.0
- AlicenseNot gradedqualityDmaintenanceEnables listing and querying Trino tables via MCP, supporting arbitrary SQL queries against a Trino cluster.MIT

StarRocks MCP Serverofficial
AlicenseAqualityAmaintenanceActs as a bridge between AI assistants and StarRocks databases, allowing for direct SQL execution and database exploration without requiring complex setup or configuration.8193Apache 2.0- AlicenseNot gradedqualityAmaintenanceA Model Context Protocol server enabling AI assistants to query and explore data warehouses via Trino, with optional semantic context from metadata catalogs.3Apache 2.0
- AlicenseBqualityBmaintenanceEnables AI assistants to connect to StarRocks databases for direct SQL execution, schema exploration, and data visualization.11Apache 2.0
TDQS
Scored across 3 tools
Each tool has a clearly distinct purpose with no overlap: cancel_query stops queries, execute_query runs queries, and inspect_table retrieves metadata. The descriptions reinforce these distinct functions, making misselection unlikely.
All tools follow a consistent verb_noun pattern (cancel_query, execute_query, inspect_table) with snake_case throughout. This predictable naming makes the tool set easy to understand and navigate.
With only 3 tools, the set feels thin for a database query server. While the tools cover core operations, additional utilities like listing tables or checking query status would enhance the surface. The count is borderline but functional.
The tools cover query execution, cancellation, and table inspection, but there are notable gaps. Missing operations include listing catalogs/schemas/tables, checking query status, or managing sessions, which could limit agent workflows. The surface is functional but incomplete.