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vizro-mcp

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by mckinsey
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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

    A3.9/5.0

    Scored across 6 tools

    Disambiguation5/5

    Each tool has a clearly distinct role: schema retrieval, planning instructions, sample data info, data loading/analysis, chart validation, and dashboard validation. The two validation tools are separated by chart code versus full dashboard config, and the data-related tools are also clearly differentiated.

    Naming Consistency5/5

    All tool names use snake_case and begin with a clear action verb such as get_, validate_, or load_. The longer compound names are still readable and follow the same predictable verb-first convention.

    Tool Count5/5

    Six tools are well-scoped for a Vizro assistant that guides users through planning, schema lookup, data handling, and validation. Each tool appears to earn its place without unnecessary overlap.

    Completeness4/5

    The surface covers the main workflow of planning, inspecting schema, handling data, and validating chart/dashboard code. A minor gap is the absence of a tool to list available Vizro models, which would help agents use get_model_json_schema without guessing model names.

    Maintenance

    ActivityActive
    ResponsivenessUnresponsive

    Resources