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Alternatives to Bella

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    Related Servers

    • A
      license
      A
      quality
      B
      maintenance
      Enables Claude to answer questions about a small business's own data by providing predefined sales, customer, refund, and inventory tools, plus a guarded read-only SQL query tool with audit logging.
      6
      MIT
    • A
      license
      Not graded
      quality
      D
      maintenance
      Enables Claude to connect to and interact with SQLite, SQL Server, PostgreSQL, and MySQL databases through natural language. Supports executing queries, managing tables, exporting data, and storing business insights with authentication options including AWS IAM.
      1,108 npm
      MIT
    • A
      license
      A
      quality
      B
      maintenance
      Enables Claude Desktop and Claude Code to inspect a Postgres schema and run read-only SQL queries against a demo database through the tools describe_schema and query_readonly. Every proposed query passes the same deterministic guardrails — SELECT-only, allow-listed tables, enforced row limits, statement timeouts and a read-only role — before execution.
      2
      MIT
    • A
      license
      A
      quality
      C
      maintenance
      Enables Claude to answer business questions from a SQL database safely, using read-only queries and bounded summaries, while requiring confirmation and audit logging for order-status changes.
      7
      MIT
    • A
      license
      A
      quality
      C
      maintenance
      Enables Claude to answer questions from PostgreSQL databases using read-only SQL queries, with row caps, column masking, and an audit log while preventing data changes.
      3
      MIT
    • A
      license
      Not graded
      quality
      C
      maintenance
      Enables Claude to query and safely write to a Postgres database, driven entirely by one policy file with read-only access by default, column-precise PII masking, and an append-only audit log. SQL is parsed and validated before execution, writes use parameterized queries with dry-run/confirm and transactions, and every call is rate-limited and audited so destructive or exfiltrating requests are refused.
      MIT

    TDQS

    A4.1/5.0

    Scored across 5 tools

    Disambiguation4/5

    The four preset tools target clearly distinct resources: revenue over time, ranked customers, low-stock products, and a single customer's 360 view. The only overlap is ask_bella, a free-form SQL tool that could answer anything the presets answer, though its description explicitly scopes it to questions the presets don't cover.

    Naming Consistency5/5

    All five names are lowercase snake_case descriptive noun compounds (sales_summary, top_customers, inventory_alerts, customer_profile, ask_bella). No mixing of conventions, camelCase, or ad-hoc verbs.

    Tool Count5/5

    Five tools is well-scoped for a conversational analytics server: four focused presets plus one general query fallback. Each tool clearly earns its place and there is no bloat.

    Completeness4/5

    Core analytics workflows are covered: revenue trends, customer ranking, customer detail, and inventory reordering, with ask_bella filling any remaining gap (e.g. product-level, order-level, or ad-hoc questions). The catch-all softens what would otherwise be notable gaps, though agents must fall back to free-form SQL for anything outside these four lenses.

    Maintenance

    ActivityMaintained
    ResponsivenessNo issues