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market-mcp

by kumaraprayoga68-sketch
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Python
Hybrid

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    TDQS

    A4/5.0

    Scored across 20 tools

    Disambiguation5/5

    Each tool targets a distinct purpose: price fetching, technical analysis, screening, prediction markets, and backtesting are clearly separated. Even within similar areas like screeners, descriptions clarify the difference (e.g., price-based vs. technical-setup scans). No two tools are interchangeable.

    Naming Consistency4/5

    All names use snake_case and are descriptive, with a consistent pattern within subdomains (e.g., prediction_* prefix, get_* for price retrieval, *_screener for screeners). The mix of verb-first (list_strategies) and noun-first (technical_analysis) is a minor deviation but not confusing.

    Tool Count3/5

    At 20 tools, this is on the heavy side, but the breadth of the domain (market data, technical analysis, screeners, prediction markets, backtesting) justifies many of them. Still, the count approaches the 'too many' threshold, and some redundancy like get_price vs. get_prices adds to the load.

    Completeness4/5

    The toolset covers a wide lifecycle: fetching prices, searching symbols, running analysis, screening, prediction market exploration, and backtesting with validation. The main gap is the lack of a direct historical OHLCV endpoint for raw price data, which would be useful for charting or custom analysis.

    Maintenance

    ActivityActive
    ResponsivenessNo issues

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