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Datawrapper MCP

by hqu
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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

    A4.3/5.0

    Scored across 8 tools

    Disambiguation5/5

    Each tool has a distinct, well-defined purpose with no overlap. For example, create_chart, get_chart, update_chart, and delete_chart handle different CRUD operations, while list_chart_types, get_chart_schema, publish_chart, and export_chart_png serve unique auxiliary functions. The descriptions clearly differentiate their roles, eliminating any confusion.

    Naming Consistency5/5

    All tool names follow a consistent verb_noun pattern using snake_case, such as create_chart, delete_chart, and export_chart_png. This uniformity makes the set predictable and easy to navigate, with no deviations in naming conventions across the eight tools.

    Tool Count5/5

    With 8 tools, the server is well-scoped for Datawrapper chart management. It covers essential operations like creation, retrieval, updating, deletion, listing, schema exploration, publishing, and exporting, providing a comprehensive yet focused toolset without being overly sparse or bloated.

    Completeness5/5

    The toolset offers complete coverage for the Datawrapper chart domain, including full CRUD operations (create_chart, get_chart, update_chart, delete_chart), lifecycle management (publish_chart), schema discovery (list_chart_types, get_chart_schema), and output handling (export_chart_png). There are no apparent gaps that would hinder an agent's workflow.

    Resources