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finance-engines-mcp

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    • A
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      Financial intelligence for AI agents. 31 tools across 8 data sources — regime, derivatives, stablecoin flows, momentum, volatility, macro, DeFi, weather patterns, political cycles, seasonality. The context layer between your agent and a bad trade.
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    TDQS

    A3.5/5.0

    Scored across 14 tools

    Disambiguation4/5

    Tools cluster around distinct sub-domains (margins, covenants, invoices, close) with clear delineation in descriptions. Some overlap exists (e.g., product_margins vs price_sensitivity, evaluate_covenants vs compliance_certificate), but each tool's scope is explicit enough to avoid misselection.

    Naming Consistency3/5

    All names are snake_case and mostly readable, but verb usage is inconsistent: many start with a verb (compute_covenant_metrics, evaluate_covenants, audit_invoices) while others start with a noun (product_margins, breakeven, compliance_certificate, close_readiness). This mixed convention is understandable but not uniformly predictable.

    Tool Count4/5

    14 tools sit within the ideal 3-15 range and cover multiple finance engines without feeling bloated. Each tool has a distinct purpose, and the breadth of domains (margins, covenants, invoices, close, contracts) justifies the count, though it edges toward the upper bound for such a server.

    Completeness4/5

    The tool surface covers major workflows end-to-end: margin analysis (compute, sensitivity, breakeven), covenant handling (metrics, evaluation, certificate), invoice processing (audit, normalization, AP classification), close execution (readiness, five-day), contract evaluation, and trial balance parsing. Minor gaps exist (e.g., no tool to reference available products or list covenant definitions), but for an analytics engine the coverage is strong.

    Maintenance

    ActivityMaintained
    ResponsivenessNo issues