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Alternatives to AmexAnalysis-MCP

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    Related Servers

    • A
      license
      B
      quality
      D
      maintenance
      Enables users to analyze local Excel and CSV files through natural language queries and a web dashboard while keeping data local. It supports saving specific analyses as reusable tools and building a custom analytics toolkit within Claude Desktop.
      10
      MIT
    • F
      license
      Not graded
      quality
      D
      maintenance
      Enables users to analyze AWS costs, track spending trends, and detect anomalies directly within Claude Desktop using the AWS Cost Explorer API. It provides tools to identify major cost drivers and compare usage across different time periods through natural language queries.
      -
    • A
      license
      Not graded
      quality
      D
      maintenance
      AI-powered personal finance analysis through Claude AI using Plaid integration, enabling natural language queries about transactions, subscriptions, budgets, and spending trends.
      1
      MIT
    • F
      license
      Not graded
      quality
      D
      maintenance
      Enables natural language expense tracking and management via Claude Desktop, supporting adding, listing, summarizing, updating, and deleting expenses with flexible date parsing and category filtering.
      -
    • A
      license
      Not graded
      quality
      C
      maintenance
      Provides quantitative analytics and statistical inference for financial data, including Monte Carlo DCF valuation, risk metrics, and trend regression diagnostics, enabling natural language-driven financial analysis via Claude Desktop.
      MIT

    TDQS

    B3.3/5.0

    Scored across 6 tools

    Disambiguation5/5

    Each tool targets a distinct analytical aspect: overall spending, subscriptions, specific vendors, anomalies, category breakdown, and export. No meaningful overlap exists between them.

    Naming Consistency4/5

    Five of six tools follow a clear verb_noun convention (analyze_*, find_*, export_*). The outlier, spending_by_category, uses a noun phrase but is still readable and not jarringly inconsistent.

    Tool Count5/5

    Six tools is a well-scoped count for a specialized spending-analysis server. Each tool covers a distinct need without redundancy or bloat.

    Completeness4/5

    The surface covers the core analysis lifecycle: overall analysis, drill-downs (vendor, category), anomaly detection, and export. Minor gaps like time-period comparison or raw transaction listing could be added, but the current set supports typical workflows.

    Maintenance

    ActivitySlowing
    ResponsivenessNo issues