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China Stock MCP

by xinkuang
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Python
Hybrid

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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

    B3.3/5.0

    Scored across 30 tools

    Disambiguation5/5

    Each tool targets a distinct data aspect (e.g., historical prices, news, financial statements, shareholder info, etc.), with no obvious overlaps that could cause misselection. Even similar-sounding tools like shareholder info and circulating shareholder data are clearly differentiated by their descriptions.

    Naming Consistency5/5

    All 31 tools follow the same 'get_' + noun pattern in snake_case, with clear, descriptive resource names (e.g., get_balance_sheet, get_realtime_data). This makes the API highly predictable and easy to navigate.

    Tool Count3/5

    At 31 tools, the set is on the heavier side, but each tool addresses a specific data need for comprehensive stock analysis. While the count exceeds the 25-tool threshold for 'too many', the breadth of the domain (market data, fundamentals, sentiment, indices, etc.) justifies the size, making it borderline acceptable rather than excessive.

    Completeness5/5

    The tool surface appears remarkably complete for A-share stock analysis, covering real-time and historical data, financial statements, key metrics, news, shareholder structures, technical indicators, macro data, indices, industry boards, sentiment, forecasts, dividends, and more. No significant gaps for common analytical workflows.

    Maintenance

    ActivityInactive
    ResponsivenessNo issues

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