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mcostigliola321

shopify-forecast-mcp

by mcostigliola321
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Python
Remote

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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

    A3.6/5.0

    Scored across 7 tools

    Disambiguation5/5

    Each tool has a distinct purpose: analyze promotion impact, compare periods, compare scenarios, detect anomalies, forecast demand, forecast revenue, and get seasonality. No overlap in functionality.

    Naming Consistency5/5

    All tools follow a consistent verb_noun pattern in snake_case (e.g., analyze_promotion, compare_periods, forecast_demand). No mixing of naming conventions.

    Tool Count5/5

    Seven tools is appropriate for a forecasting and promotion analysis MCP server. It covers core needs without being too few or too many.

    Completeness4/5

    The tool set covers key forecasting, trend comparison, anomaly detection, and seasonality analysis. Minor gap: no tool for managing underlying data or listing available products/collections, but the surface is comprehensive for analysis.

    Maintenance

    ActivityInactive
    ResponsivenessNo issues

    Resources