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SajanMelcher

Plumbline

by SajanMelcher
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TypeScript
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

    A3.7/5.0

    Scored across 16 tools

    Disambiguation3/5

    Most market-data tools target distinct queries (book, candles, recent trades, fees, indexer health), but the stats cluster overlaps heavily: get_volume, get_pool_stats, and get_swing_range all return price ranges, volume, and volatility over similar windows, and get_recent_trades vs get_bm_fills both return fills with only a filter difference. An agent can pick reasonably from the descriptions, but it must read carefully to avoid redundant or wrong-stat calls.

    Naming Consistency4/5

    Nearly all 16 names follow a snake_case verb_noun pattern (get_*, list_*, estimate_*, create_*), which is predictable and readable. Minor deviations are the abbreviations 'bm' and 'ohlcv' and the use of 'check_template_order' where 'get_' is the house style.

    Tool Count4/5

    16 tools is at the upper edge but each one maps to a concrete endpoint with a stated output; none looks redundant enough to cut outright. The caveat is that the surface spans two unrelated domains (DeepBook market data and a template store), which inflates the count relative to either purpose alone.

    Completeness4/5

    The read-only market-data side is thorough: pools, params, book, fills, OHLCV, volume, volatility, fees, and indexer health are all covered, and the store flow has list/create/check. Gaps are minor — no slippage/depth-cost estimation beyond fee quotes, no way to list a client's own past orders without an order id, and no cross-pool comparison tool beyond the top-volume default.

    Maintenance

    ActivityMaintained
    ResponsivenessNo issues

    Resources