labelixa-mcp
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- AlicenseNot gradedqualityBmaintenanceEnables AI clients to build and validate ZPL II label specifications from JSON (text, 27 barcode symbologies, boxes, CJK via built-in TrueType fonts), send them over TCP raw 9100 or Windows spooler/USB, query printer status via Link-OS SGD or legacy ~HI/~HS, batch-print labels from .xlsx rosters, and reconstruct printable ZPL from a photo of an existing label. Includes a preview transport for rendering without hardware.1MIT
- AlicenseAqualityCmaintenanceEnables AI assistants to design, preview, and print labels on a Bluetooth label printer, manage templates and saved labels, check printer status, scan for devices, and query fonts.10MIT
- FlicenseNot gradedqualityBmaintenanceEnables AI agents to decode and render barcodes/QR codes and validate GTINs via the Model Context Protocol, with both hosted and self-hosted deployment options.-
- AlicenseNot gradedqualityBmaintenanceEnables AI clients to prepare and preview labels, then safely submit physical print jobs to an Xprinter XP-330B through local stdio or authenticated remote access, with status, cancellation, and retry receipts.MIT
- AlicenseAqualityBmaintenanceEnables AI assistants to capture screenshots and PDFs, read web pages as Markdown, preview links, look up DNS/SSL/WHOIS and email records, verify addresses, generate QR codes, barcodes and social images, convert images, and translate text.1944 npmMIT
- AlicenseAqualityAmaintenanceEnables AI assistants to decode QR codes from images, with tools for scanning full images and enhancing blurry or reflective regions before decoding, plus quality diagnostics to guide retry strategies.3MIT
TDQS
Scored across 11 tools
Most tools target clearly distinct actions/resources: preview, validate, explain, compatibility, command help, DPI conversion, barcode generation, and language detection. The main overlap is between zpl_validate and explain_zpl, but descriptions explicitly distinguish a fast pass/fail lint from a human-readable scored report. The parallel epl/tspl/cpcl validators are unambiguous because of their language prefixes.
The vocabulary is readable and mostly snake_case, but ordering conventions vary: zpl_validate (prefix_action), convert_zpl_dpi (verb_object_detail), language_detect and barcode_generate (noun_verb), and zpl_command_help (prefix_noun_noun). The language-prefixed validators are consistent with each other, but the set as a whole mixes patterns.
Eleven tools is well-scoped for a label-code validation/rendering utility. Each tool covers a distinct operation: rendering, validation, explanation, compatibility, lookup, conversion, detection, and barcode generation. No tool appears redundant or gratuitous.
ZPL workflows are well covered end-to-end: preview, lint, explain, compatibility, command lookup, DPI conversion, and barcode generation. EPL, TSPL, and CPCL are only supported for validation, with no preview/explain equivalents, and there is no cross-language conversion or label-generation tool. These are notable but workable gaps for the stated purpose.