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FlawlessByte

quant-research-mcp

by FlawlessByte
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Python
Remote

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    TDQS

    A4.3/5.0

    Scored across 13 tools

    Disambiguation5/5

    Each tool targets a distinct operation: analysis, backtesting, event checking, indicator computation, method description, regime detection, news fetching, method listing, market context, portfolio risk, decision scoring, and universe screening. No two tools have overlapping purposes.

    Naming Consistency5/5

    All tools follow a consistent 'quant_verb_noun' pattern (e.g., quant_analyze_setup, quant_screen_universe). The naming is predictable and clear, with no mixing of conventions.

    Tool Count5/5

    13 tools is well-scoped for a quantitative research server. Each tool serves a necessary function in the workflow, from analysis to risk management, without being bloated or sparse.

    Completeness4/5

    The tool set covers the core pipeline: screening, analysis, backtesting, risk assessment, and decision scoring. Minor gaps exist (e.g., no direct data export or charting), but these are not essential for the stated purpose of paper-backed trading research.

    Maintenance

    ActivityInactive
    ResponsivenessNo issues

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