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PlotMCP Server

by Nexo-Agent
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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

    A3.6/5.0

    Scored across 9 tools

    Disambiguation5/5

    Each tool has a clearly distinct purpose corresponding to a specific plot type (area, bar, box, contour, heatmap, histogram, line, pie, scatter). The names directly indicate the visualization type, making it impossible to confuse one tool for another. There is no functional overlap between tools as each creates a fundamentally different chart format.

    Naming Consistency5/5

    All tools follow the exact same 'plot_' prefix + chart_type naming pattern (plot_area, plot_bar, plot_box, etc.). This consistent verb_noun structure (where 'plot' is the verb and the chart type is the noun) creates perfect predictability. Every tool name uses the same snake_case convention without any deviations.

    Tool Count5/5

    Nine tools is ideal for a plotting server, covering the most common visualization types without being overwhelming. Each tool represents a distinct, essential chart type that earns its place in the set. The count aligns perfectly with the domain scope of providing core plotting functionality.

    Completeness5/5

    The tool set provides comprehensive coverage of standard plot types including area, bar, box, contour, heatmap, histogram, line, pie, and scatter plots. This covers the fundamental visualization needs for data analysis and presentation. There are no obvious gaps in the plotting domain - agents can create any common chart type needed for data visualization tasks.

    Maintenance

    ActivityInactive
    ResponsivenessSyncing

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