Skip to main content
Glama
skusVV

KiezelPay Sales MCP

by skusVV

Related Servers

Alternatives to KiezelPay Sales MCP

No user-submitted related servers found.

    Related Servers

    • F
      license
      Not graded
      quality
      B
      maintenance
      MCP server for payments analytics, enabling natural language queries on transaction data, merchant summaries, and chargeback anomaly detection with grounded, auditable answers.
      -
    • A
      license
      Not graded
      quality
      D
      maintenance
      A read-only MCP server that enables restaurant staff to query Veloce POS data using natural language, supporting sales summaries, payment breakdowns, and weekly reports.
      MIT
    • F
      license
      Not graded
      quality
      F
      maintenance
      A production-ready MCP server that transforms natural language into safe, executable SQL queries with multi-database support and intelligent schema analysis.
      1
      -
    • F
      license
      Not graded
      quality
      B
      maintenance
      An MCP server that exposes a LangChain agent with short-term memory to analyze real e-commerce data through predefined SQL tools, enabling natural language queries on sales, customers, and logistics.
      -

    TDQS

    A4.4/5.0

    Scored across 6 tools

    Disambiguation5/5

    Each tool targets a distinct aspect of sales data: products, account summary, daily stats, raw purchases, and product-level aggregates. The only close pair, get_sales_today and get_sales_yesterday, are clearly separated by the day in their names and descriptions.

    Naming Consistency5/5

    All tools follow a consistent verb_noun pattern (list_products, get_sales_summary, get_sales_today, get_sales_yesterday, get_purchase_history, get_product_sales). The mix of 'list' and 'get' is standard and predictable, with no camelCase or chaotic variations.

    Tool Count5/5

    Six tools is well-scoped for a sales-focused MCP server. Each tool covers a distinct need without redundancy, making the set feel intentional and manageable.

    Completeness4/5

    The tool surface covers the core sales questions: summary, daily performance, raw history, product listing, and per-product breakdowns. Minor gaps exist, such as no arbitrary date-range sales tool or explicit trial/refund analytics, but these can be worked around via purchase history and product sales.

    Maintenance

    ActivityStale
    ResponsivenessNo issues