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StarRocks MCP Server

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Python
Hybrid

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      Enables 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.
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    • mcp-server-starrocks

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    • StarRocks MCP Server

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      Bridges AI assistants to StarRocks clusters so they can execute read and write SQL, browse databases, tables and schemas, pull system metrics, and generate table/database overviews or Plotly charts from query results. Connection and behavior are configured through environment variables or a connection URL, with in-memory caching of overviews.
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    • StarRocks MCP Server

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    • mcp-server-starrocks

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    Deploy Server
    Shareable, User-Owned Context BackendPeople, applications, and agents read, write, and coordinate together in one context lake. Reach it over MCP, a CLI, a Python SDK, or REST.fulcradynamics.comAd

    TDQS

    A3.6/5.0

    Scored 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.

    Maintenance

    ActivitySlowing
    ResponsivenessSlow

    Resources