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treasure-data

Treasure Data MCP Server

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    TDQS

    B3.1/5.0

    Scored across 23 tools

    Disambiguation4/5

    Most tools target a distinct resource+action pair (list_databases vs list_tables vs describe_table; query vs execute is cleanly split by read-only vs write). The only real confusion candidates are retry_session vs retry_attempt and parent_segment_sql vs segment_sql, but the descriptions explicitly differentiate the scope (session vs attempt, parent vs filtered) so an agent can still choose correctly.

    Naming Consistency4/5

    The large majority of tools follow a verb_noun convention (list_*, get_*, retry_*, kill_attempt, describe_table, use_database). A handful deviate: bare verbs 'query' and 'execute', the noun-first getter 'current_database' (which pairs awkwardly with 'use_database'), and noun-first 'parent_segment_sql'/'segment_sql'. Minor inconsistencies, not enough to break predictability.

    Tool Count3/5

    23 tools is on the heavy side and reflects three loosely bundled products in one server: SQL/database access, experimental CDP segment APIs, and workflow/session/attempt/task inspection. Each tool does earn its place, but the workflow-debugging chain (list_sessions → get_session_attempts → get_attempt_tasks → get_task_logs) plus the experimental tag suggests the surface could be split or trimmed.

    Completeness3/5

    Read and write SQL, context switching, and deep workflow introspection are well covered, but there are noticeable gaps: no create/drop/alter table or database operations, no way to fetch a single workflow definition or start/stop a workflow job, and CDP coverage stops at listing/reading (no segment or audience creation). These are recoverable via query/execute for some cases but leave the workflow lifecycle one-sided.

    Maintenance

    ActivityMaintained
    ResponsivenessNo issues