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QuantContext

by zomma-dev
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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

    A4.4/5.0

    Scored across 3 tools

    Disambiguation5/5

    Each tool has a distinct purpose: screen_stocks finds candidates, backtest_strategy tests strategies, factor_analysis decomposes returns. No overlap in functionality.

    Naming Consistency5/5

    All tool names follow a consistent verb_noun pattern in snake_case: backtest_strategy, factor_analysis, screen_stocks.

    Tool Count4/5

    Three tools is minimal but well-scoped for the quantitative finance pipeline. Covers screening, backtesting, and analysis without excess.

    Completeness4/5

    The tools form a coherent workflow (screen → backtest → factor analysis). Minor gaps exist, such as no data retrieval or custom factor tools, but the core pipeline is complete.

    Maintenance

    ActivityInactive
    ResponsivenessUnresponsive

    Resources