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shigechika

jquants-mcp

by shigechika
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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

    A4/5.0

    Scored across 55 tools

    Disambiguation3/5

    Most tools target distinct datasets, but several pairs genuinely overlap: get_indices_bars_daily also returns TOPIX (which get_indices_bars_daily_topix covers), get_derivatives_bars_daily_options_225 is a plan-limited subset of get_derivatives_bars_daily_options, and the earnings calendar/schedule/results tools cover adjacent ground. The descriptions cross-reference heavily, which mitigates but does not eliminate misselection risk.

    Naming Consistency4/5

    All tool names use snake_case, and the dominant pattern is verb_noun (get_*, detect_*, compare_*, search_*, register_*, delete_*). A few names break the pattern (cache_status, health_check, cache_clear) and some suffixed variants are long (get_equities_bars_daily_am, get_indices_bars_daily_topix), but the convention remains largely predictable.

    Tool Count2/5

    55 tools is far above the 3–15 sweet spot and creates high cognitive load even for a broad market-data API. Several tools are specialized variants of the same concept (earnings calendar vs. this week vs. results, many ranking/screener tools), so the surface could be consolidated without losing capability.

    Completeness5/5

    The surface covers the J-Quants domain comprehensively: master data, daily/minute/morning bars, financials, dividends, indices, derivatives, margin and short-selling data, bulk CSV download, screeners, rankings, technical indicators, charting, calendar, auth, and cache administration. Only minor gaps exist (e.g., no dedicated equities-trades tool), and all major workflows have corresponding endpoints.

    Maintenance

    ActivityActive
    ResponsivenessResponsive

    Resources