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Graphistry MCP

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Python
Remote

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    TDQS

    A3.6/5.0

    Scored across 17 tools

    Disambiguation4/5

    Most tools have distinct purposes, with clear separation between layout, encoding, and management functions. However, some layout tools like 'apply_layout' (general) and specific ones like 'apply_group_in_a_box_layout' could cause confusion due to overlapping functionality, though descriptions help clarify their differences.

    Naming Consistency5/5

    Tool names follow a highly consistent verb_noun pattern throughout, such as 'apply_group_in_a_box_layout', 'encode_point_color', and 'get_graph_ids'. All tools use snake_case and start with a verb, making the naming predictable and easy to understand.

    Tool Count4/5

    With 17 tools, the count is slightly high but reasonable for a graph visualization server covering layout, encoding, analysis, and management. It's well-scoped for the domain, though some tools could potentially be consolidated to reduce complexity.

    Completeness5/5

    The toolset provides comprehensive coverage for graph visualization workflows, including creation (visualize_graph), layout (multiple apply_* tools), encoding (encode_point_*), analysis (detect_patterns), settings (set_graph_settings), and management (get_graph_ids, get_graph_info). No obvious gaps are present for the server's purpose.

    Maintenance

    ActivityInactive
    ResponsivenessUnresponsive

    Resources