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BachStudio Teradata MCP Server

by BACH-AI-Tools
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Python
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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

    C2.7/5.0

    Scored across 38 tools

    Disambiguation4/5

    Most tools have distinct purposes, but there is some overlap between base_tableUsage and dba_tableUsageImpact, which both measure table usage. Similarly, qlty_missingValues and qlty_rowsWithMissingValues could be confused, though they target different outputs. Overall, the tool set is reasonably disambiguated.

    Naming Consistency3/5

    Tool names use prefixes (base_, dba_, qlty_, sec_, sql_, rag_, plot_) but mixing camelCase (base_columnDescription) and underscores (sql_Analyze_Cluster_Stats) within the same server creates inconsistency. Naming after the prefix is also inconsistent: some are verb-noun (base_readQuery), others noun-noun (base_tableList).

    Tool Count2/5

    With 38 tools, the server is on the heavier side for a database interaction server. While the scope justifies many functions, several tools overlap (e.g., table usage metrics) and plotting tools feel slightly out of place, making the count feel excessive rather than lean.

    Completeness3/5

    The server covers broad areas (metadata, DBA, data quality, security, SQL optimization, RAG, plotting), but has notable gaps: no dedicated tools for DDL operations (create/alter/drop) beyond generic readQuery, and no individual RAG utilities (e.g., embedding search). The SQL optimization suite is thorough but dependent on pre-existing tables.

    Maintenance

    ActivityInactive
    ResponsivenessNo issues

    Resources