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Prem07a

FinMCP

by Prem07a
OverviewSchemaSourceRelated ServersDiscussionsAdmin
Python
Remote

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    Deploy Server
    One endpoint for every MCP toolRayrun runs every MCP server behind one URL and holds the credentials. Each call is decided per client, tool, and argument, then recorded.ray.runAd

    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

    ActivityStale
    ResponsivenessNo issues

    Resources