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data-engineering-mcp

by paul-92
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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

    B3.3/5.0

    Scored across 12 tools

    Disambiguation4/5

    Most tools target clearly distinct actions: catalog listing, table description, schema search, relationship inference, path finding, and SQL generation. The only mild overlap is between gerar_sql and gerar_select, both generating SELECT statements, though their descriptions differentiate structural vs. simple generation.

    Naming Consistency4/5

    Tool names consistently use snake_case Portuguese with a mostly verb-first pattern like listar_tabelas, buscar_coluna, and gerar_join. The exception is status_catalogo, which uses a noun instead of a verb, but the overall pattern remains predictable.

    Tool Count5/5

    Twelve tools is well-scoped for a data engineering catalog server covering metadata browsing, search, relationship inference, and SQL generation. Each tool serves a meaningful purpose without redundancy or bloat.

    Completeness5/5

    The tool set covers the apparent domain comprehensively: listing, describing, updating, searching, relationship inference, path discovery, status reporting, and SQL generation/explanation. No obvious dead ends exist for the catalog-focused purpose.

    Maintenance

    ActivitySlowing
    ResponsivenessNo issues

    Resources