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Prem07a

FinMCP

by Prem07a
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Python
Remote

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    Deploy Server
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    TDQS

    A4.1/5.0

    Scored across 28 tools

    Disambiguation4/5

    The 28 tools cover distinct data-retrieval, analysis, screening, and synthesis functions. A few analysis tools (e.g., analyze_cash_flow_quality vs detect_earnings_quality, calculate_financial_ratios vs calculate_growth_metrics) share underlying data and themes, but their detailed descriptions clearly delineate purpose. Overall, misselection risk is low.

    Naming Consistency3/5

    Most tools use snake_case and a clear verb (get_, calculate_, analyze_, detect_, find_), giving a generally readable set. However, several tools are noun-phrase named (bankruptcy_risk_score, peer_valuation, historical_valuation, financial_health_score, dcf_valuation), and 'ping' is a bare verb, breaking the otherwise consistent verb_noun pattern.

    Tool Count2/5

    At 28 tools, the set is well beyond the typical 15-tool upper bound and feels heavy for an agent to navigate. While each tool is individually purposeful, many are compositional (analyze_company, generate_investment_memo) or overlapping in theme, so the count could be tightened.

    Completeness5/5

    The server covers an exceptionally complete fundamental-analysis workflow for Indian equities: statements, ratios, growth, margin/cash-flow quality, red flags, valuation, DCF, peer comparison, screening, and synthesis. It explicitly scopes out data it can't reliably source (promoter holdings, related-party transactions), avoiding gaps that would mislead.

    Maintenance

    ActivityMaintained
    ResponsivenessNo issues

    Resources