mcp-server-starrocks
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- FlicenseNot gradedqualityAmaintenanceEnables AI assistants to query and explore StarRocks databases, inspect schemas, metrics, and sample data, and generate Plotly charts from query results without complex client-side setup.-
- FlicenseNot gradedqualityAmaintenanceEnables AI assistants to run SQL queries, explore databases and schemas, access internal metrics, and visualize query results as Plotly charts against StarRocks.-

StarRocks MCP Serverofficial
AlicenseAqualityBmaintenanceActs as a bridge between AI assistants and StarRocks databases, allowing for direct SQL execution and database exploration without requiring complex setup or configuration.8196Apache 2.0- FlicenseNot gradedqualityAmaintenanceEnables AI assistants to connect to StarRocks databases for direct SQL execution, schema and database exploration, system metrics access, and Plotly chart generation. It also provides cached table and database overviews.-
- FlicenseNot gradedqualityAmaintenanceEnables AI assistants to connect to StarRocks databases for direct SQL execution, database and schema exploration, detailed table/database overviews, and Plotly chart visualization of query results.-
- FlicenseNot gradedqualityAmaintenanceEnables AI assistants to connect to StarRocks databases for direct SQL execution, schema and metadata exploration, table/database overviews, system metrics access, and Plotly chart generation from query results.-
TDQS
Scored across 11 tools
Tools generally have distinct targets: read_query for SELECT, write_query for DDL/DML, profiling/analysis tools for diagnostics, and overview tools for schema/table information. The main potential confusion is between analyze_query and collect_query_dump_and_profile, but their descriptions indicate different collection vs. analysis purposes.
All names use snake_case and many follow a verb_noun pattern like write_query, read_query, and analyze_query. However, tools like table_overview, db_summary, top_hot_tables, and query_and_plotly_chart break that pattern, making the overall convention mixed though still readable.
11 tools is well-scoped for a StarRocks database and query-analysis server. Each tool covers a distinct capability and the count is neither too small to be useful nor too large to be overwhelming.
The set covers query execution, schema/table overviews, performance analysis, query profiling, and session database management. An explicit list_databases/list_tables tool is missing, but db_summary and table_overview largely compensate for that gap.