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Glama

Related Servers

Alternatives to MCP Analytics

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    Related Servers

    • A
      license
      Not graded
      quality
      D
      maintenance
      Connects e-commerce and marketing data sources like Shopify, GA4, Google Ads, and Meta Ads to AI assistants, enabling natural language queries about store performance, ad campaigns, and customer behavior.
      7 npm
      2
      MIT
    • F
      license
      A
      quality
      D
      maintenance
      Enables comprehensive analysis of CSV files and SQLite databases through tools for statistics, correlations, anomaly detection, pivot tables, time series analysis, visualization, and automated insights discovery.
      16
      -
    • A
      license
      Not graded
      quality
      F
      maintenance
      Enables creating interactive data visualizations from natural language queries using DuckDB for local databases or Databricks for enterprise data warehouses. Supports multiple chart types, CSV imports, SQL queries, and automatic statistical analysis through Claude Desktop.
      19
      MIT
    • F
      license
      Not graded
      quality
      D
      maintenance
      Enables AI-powered analytics from Stripe, PayPal, and Google Analytics 4 (BigQuery) data sources with built-in guardrails and automated workflows for financial and web performance insights.
      -

    TDQS

    B3/5.0

    Scored across 19 tools

    Disambiguation3/5

    Most tools are grouped by resource and action, but there is some overlap: reports_view vs reports_list vs report_cards could be confused, and datasets_read vs datasets_download may seem similar at first glance. tools_info, discover_tools, and agent_advisor also all occupy a 'help me use the system' space that requires careful reading.

    Naming Consistency3/5

    The naming has a recognizable pattern for the main clusters (datasets_*, reports_*, connectors_*, tools_*), but it is not consistently applied: report_cards and module_request are noun-only, while billing and about are bare nouns. The pattern is predictable within each domain but not uniform across the server.

    Tool Count3/5

    19 tools is on the heavy side, but the platform covers datasets, connectors, analysis tools, reports, billing, and system info, so the breadth is somewhat justified. Still, some clusters could be consolidated (e.g., reports_list vs reports_search) to reduce cognitive load.

    Completeness4/5

    The main workflow — upload/read datasets, query connectors, discover and run tools, and view reports — is well covered. The primary gap is the lack of delete/removal operations for datasets and reports, plus no obvious connector setup or management tools, but most core analysis workflows are supported.

    Maintenance

    ActivityMaintained
    ResponsivenessUnresponsive