Labelixa

Labelixa is an MCP server and API platform for thermal label development: render, validate, debug and convert ZPL, EPL, TSPL and CPCL label code and generate…

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What it can do

  • Zpl Preview: Render ZPL label code and return the label as a PNG image. Use this to SEE what ZPL output looks like — LLMs can write ZPL but cannot otherwise verify the visual result. One call renders
  • Zpl Validate: Lint ZPL code and return structured diagnostics: unknown commands, missing ^FS, out-of-range parameters, fields outside the label boundary. Run this before zpl_preview when generating ZP
  • Zpl Command Help: Explain a single ZPL command: syntax, parameters with types/ranges/options, a fragment example and whether the Labelixa renderer draws it. Data comes from the same catalog that power

What data it sees

Do you need an account

No: the server works without sign-in

Labelixa is an MCP server and API platform for thermal label development: render, validate, debug and convert ZPL, EPL, TSPL and CPCL label code and generate barcodes — no printer required. LLMs can write label code but cannot see the result; these tools close the write → preview → fix loop inside the conversation. Anonymous use is free and rate-limited; authenticate with a Labelixa API key for account quotas. Canonical endpoint: https://api.labelixa.com/mcp

How to connect

How to connect Labelixa to Claude

The server address to paste into Claude settings:

https://zpl--labelixa.run.tools

  1. Open Claude (claude.ai or the desktop app).
  2. Go to Settings → Connectors.
  3. Click Add custom connector.
  4. Paste the server address copied below into Remote MCP server URL and click Add.
  5. In a chat, click + → Connectors and switch the new connector on.

Custom connectors are available on Free, Pro, Max, Team and Enterprise plans (Free is limited to one). On Team and Enterprise an organization Owner adds the connector first under Organization settings → Connectors.

Authorization

After you click Add, a sign-in window for the service opens. Sign in with your own account and approve access. Claude never sees your password.

How to connect Labelixa to ChatGPT

The server address to paste into ChatGPT settings:

https://zpl--labelixa.run.tools

  1. Open ChatGPT in a browser (chatgpt.com). A Plus, Pro, Business, Enterprise or Edu plan is required.
  2. Turn on developer mode once: Settings → Apps → Advanced settings → Developer mode.
  3. Open Settings → Connectors and click Create.
  4. Fill in the form: Name (anything), Description (one line about what the service does), MCP server URL (copy it below).
  5. Under Authentication choose OAuth if the service requires sign-in, otherwise None. Click Create.
  6. In a new chat open + → Apps/Connectors and enable the connector.

OpenAI has renamed this section before (Connectors → Apps/Plugins). If the label differs, search settings for "developer mode". On Business/Enterprise workspaces an admin must allow custom connectors first.

Authorization

On first use ChatGPT opens the service's sign-in window. Sign in and approve access.

How to connect Labelixa to Cursor

The server address to paste into Cursor settings:

https://zpl--labelixa.run.tools

Fastest: click Open in Cursor below and confirm the prompt.

Manually:

  1. In Cursor open Settings → Cursor Settings → MCP and click Add new global MCP server.
  2. Paste the JSON copied below into ~/.cursor/mcp.json (per project: .cursor/mcp.json in the repo root).
  3. Save the file. The server appears in the MCP list; authorize it there if asked.

Authorization

If the service needs sign-in, an authorize button appears next to the server in the MCP list.

Server tool list (21)

Raw names from tools/list. Only developers need these.

zpl_previewRender ZPL label code and return the label as a PNG image. Use this to SEE what ZPL output looks like — LLMs can write ZPL but cannot otherwise verify the visual result. One call renders one label (use `index` to pick a label from a multi-label stream).
zpl_validateLint ZPL code and return structured diagnostics: unknown commands, missing ^FS, out-of-range parameters, fields outside the label boundary. Run this before zpl_preview when generating ZPL.
zpl_command_helpExplain a single ZPL command: syntax, parameters with types/ranges/options, a fragment example and whether the Labelixa renderer draws it. Data comes from the same catalog that powers the public command reference pages.
barcode_pngGenerate a single barcode as a PNG image (Code 128, QR, DataMatrix, EAN-13, UPC-A, PDF417 and more). For a full label with text and layout, write ZPL and use zpl_preview instead.
language_detectDetect which printer language raw label code is written in (ZPL, EPL, TSPL or CPCL). Heuristic: returns the language plus a confidence TIER (high/medium/low) and signal codes — not a probability.
epl_validateLint EPL/EPL2 label code; returns positioned findings with severity as JSON.
tspl_validateLint TSPL/TSPL2 label code; returns positioned findings with severity as JSON.
cpcl_validateLint CPCL label code; returns positioned findings with severity as JSON.
explain_zplFull health report for a ZPL label: sectioned findings (syntax, size/DPI, orientation, barcodes, fonts, graphics memory, job behaviour) with an honest score — sections that cannot be assessed say so and are excluded from the score.
convert_zpl_dpiRescale ZPL between printer resolutions (203/300/600 DPI): coordinates, fonts, barcode module width and label size are scaled. Embedded ^GF/~DG image data is NOT scaled; the response says so instead of silently passing it through.
template_listList Labelixa's first-party label template catalog: id, English name, category, size/density and tags. Read-only product content (no tenant data). Fetch one with template_get; render its ZPL with zpl_preview.
template_getFetch one catalog template: metadata, preview image URL and — for non-premium templates — the ZPL source, ready for zpl_preview. Premium templates return metadata for everyone; their ZPL source requires an API key whose plan includes the premium-template feature (same rule as the website).
epl_previewRender EPL/EPL2 label code and return a PNG preview. The preview assumes 203 dpi and is an interpretation of the EPL2 manual covering a core command subset — no physical printer validation. `labels` in the response is the TOTAL number of labels the stream prints (a stream may contain several, each ended by `P`); pass `index` to render a different one.
tspl_previewRender TSPL/TSPL2 label code and return a PNG preview. The preview assumes 203 dpi and is an interpretation of the TSPL manual covering a core command subset — no physical printer validation. `labels` in the response is the TOTAL number of labels the stream prints (a stream may contain several, each ended by `PRINT`); pass `index` to render a different one.
cpcl_previewRender CPCL label code and return a PNG preview. The preview assumes 203 dpi and is an interpretation of the CPCL manual covering a core command subset — no physical printer validation. `labels` in the response is the TOTAL number of labels the stream prints (a stream may contain several, each ended by `PRINT`); pass `index` to render a different one.
image_to_zplConvert an image (PNG, JPEG, BMP or GIF, max 200 KB) to a ZPL ^GF graphic command. Returns the ZPL plus measured dimensions and the physical print size at the chosen density. PDF input is REST-only (/v1/graphics).
barcode_verifyDecode barcodes from a photo or scan of a PRINTED label (PNG, JPEG, BMP or GIF) and report what a software decoder reads back. Honest by design: 'read' does not guarantee every handheld scanner will read it, and 'not read' does not condemn the label (photo angle/focus matter) — the response says so.
zpl_compatibilityCompatibility RISK analysis of ZPL code against a specific printer model, given as manufacturer/model (e.g. 'zebra/zd421'). NOT an emulator and never says 'it works': reports the model's language posture with evidence level and size-rule findings.
bulk_submitSubmit a bulk label production job: one ZPL template with {{variable}} placeholders plus data rows (one object per label). Requires an API key whose plan includes bulk jobs. Quota is charged UPFRONT, one operation per row, and failed rows are not refunded; rows per job are capped by plan. Returns the job id — check bulk_status (small jobs usually finish within seconds).
bulk_statusStatus of one bulk job you own: state, attempt count and — when finished — the summary with produced count and per-row failures (row number + reason; failed rows never block the rest). Finished outputs stay downloadable for 7 days via the REST endpoint the response names.
bulk_listList your recent bulk jobs (id, state, error class, timestamps), newest first. Useful to recover a lost job id; details via bulk_status.