StarRocks MCP Server

Official

by StarRocks

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Python

Hybrid

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Deploy Server

One endpoint for every MCP toolRayrun runs every MCP server behind one URL and holds the credentials. Each call is decided per client, tool, and argument, then recorded.ray.runAd

TDQS

A3.6/5.0

Scored 2026-06-04 10:10 across 8 tools

Disambiguation4/5

Each tool targets a distinct function: query execution, analysis, chart generation, schema summary, etc. There is slight overlap between read_query and query_and_plotly_chart, but their outputs differ (raw data vs chart), and descriptions clarify the distinction. No major confusion.

Naming Consistency2/5

Tool names follow no consistent pattern: some are verb_noun (e.g., read_query), some are noun_verb (e.g., db_summary), some include conjunctions (query_and_plotly_chart), and verbs vary (analyze, collect, set, write). This inconsistency may confuse an agent trying to infer tool purposes from naming.

Tool Count5/5

With 8 tools, the server is well-scoped for a database MCP server covering querying, analysis, schema browsing, and charting. Each tool serves a clear purpose without being excessive or minimal.

Completeness4/5

The tool set covers core database interactions: query (read and write), analysis, schema overview, and charting. A minor gap is the absence of a tool to list all databases, but db_summary and set_session_db partially address this. Overall, the surface is reasonably complete for the stated purpose.