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labelixa-mcp

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    Shareable, User-Owned Context BackendPeople, applications, and agents read, write, and coordinate together in one context lake. Reach it over MCP, a CLI, a Python SDK, or REST.fulcradynamics.comAd

    TDQS

    A3.7/5.0

    Scored across 11 tools

    Disambiguation4/5

    Tools mostly target clearly distinct operations: per-language validators (zpl/epl/tspl/cpcl_validate) are unambiguous, and the descriptions explicitly contrast explain_zpl vs zpl_validate and zpl_preview vs zpl_compatibility. The only mild overlap is the human-report vs pass/fail pair, which the descriptions do resolve, so nothing causes real misselection.

    Naming Consistency3/5

    All names are snake_case and mostly follow a language_verb or verb_language pattern, but verb placement is inconsistent (zpl_validate vs explain_zpl, convert_zpl_dpi) and some use extra nouns (zpl_command_help) while others are generic (barcode_generate, language_detect). Readable but not a single predictable convention.

    Tool Count5/5

    With 11 tools the set sits comfortably in the well-scoped 3-15 range, and each tool covers a distinct capability (validate, explain, preview, convert, lookup, detect, barcode, compatibility) rather than redundant variants.

    Completeness3/5

    ZPL has full lifecycle coverage (validate, explain, preview, dpi conversion, command help, compatibility), but EPL, TSPL and CPCL only get a validate tool—no preview, explain, conversion or command lookup for those languages. This asymmetry is a notable gap for a multi-language label server, though agents can still work around it via ZPL-first workflows.

    Maintenance

    ActivityActive
    ResponsivenessNo issues

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