Labelixa is a remote MCP server that gives an AI agent 11 tools, among them barcode_png, convert_zpl_dpi, cpcl_validate. It answers at https://api.labelixa.com/mcp over streamable HTTP, and it listed its tools to an anonymous client, so no sign-in was needed for that. Our probes reached it 10 of 10 times since 5 September 2026; the last check, on 18 October 2026, succeeded.
Render, validate and convert Zebra ZPL label code from AI assistants: PNG preview, lint, barcodes.
Description as the publisher wrote it.
| Tool | What it does |
|---|---|
barcode_png | Generate 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. Inputs: type, data |
convert_zpl_dpi | Rescale 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. Inputs: zpl, source_dpi, target_dpi |
cpcl_validate | Lint CPCL label code; returns positioned findings with severity as JSON. Inputs: cpcl |
epl_validate | Lint EPL/EPL2 label code; returns positioned findings with severity as JSON. Inputs: epl |
explain_zpl | Full 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. Inputs: zpl, dpmm, width_in, height_in |
language_detect | Detect 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. Inputs: code |
tspl_validate | Lint TSPL/TSPL2 label code; returns positioned findings with severity as JSON. Inputs: tspl |
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 powers the public command reference pages. Inputs: command |
zpl_compatibility | Compatibility RISK analysis of ZPL code against a specific printer 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. Inputs: zpl, model |
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 one label (use `index` to pick a label from a multi-l Inputs: zpl, dpmm, width_in, height_in, index |
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 ZPL. Inputs: zpl, dpmm, width_in, height_in |
Every block below points at https://api.labelixa.com/mcp. Pick your client and copy.
claude mcp add --transport http labelixa https://api.labelixa.com/mcp
{
"mcpServers": {
"labelixa": {
"command": "npx",
"args": ["-y", "mcp-remote", "https://api.labelixa.com/mcp"]
}
}
}{
"mcpServers": {
"labelixa": {
"url": "https://api.labelixa.com/mcp"
}
}
}{
"servers": {
"labelixa": {
"type": "http",
"url": "https://api.labelixa.com/mcp"
}
}
}{
"context_servers": {
"labelixa": {
"url": "https://api.labelixa.com/mcp"
}
}
}{
"mcpServers": {
"labelixa": {
"serverUrl": "https://api.labelixa.com/mcp"
}
}
}{
"mcpServers": {
"labelixa": {
"url": "https://api.labelixa.com/mcp"
}
}
}name: Labelixa
version: 0.0.1
schema: v1
mcpServers:
- name: Labelixa
type: streamable-http
url: https://api.labelixa.com/mcp{
"mcpServers": {
"labelixa": {
"httpUrl": "https://api.labelixa.com/mcp"
}
}
}{
"mcpServers": {
"labelixa": {
"type": "http",
"url": "https://api.labelixa.com/mcp"
}
}
}{
"mcpServers": {
"labelixa": {
"url": "https://api.labelixa.com/mcp"
}
}
}goose://extension?url=https%3A%2F%2Fapi.labelixa.com%2Fmcp&type=streamable_http&id=labelixa&name=Labelixa
It answered our last check on 18 October 2026 in 289 ms. Over 10 checks since 5 September 2026 it answered 10. Status here comes from Neuronto's own probes, not from the publisher.
Yes. It is published by labelixa.com and served from api.labelixa.com, the vendor's own domain: https://api.labelixa.com/mcp.
11, as returned by the server's own tools/list on 31 August 2026: barcode_png, convert_zpl_dpi, cpcl_validate, epl_validate, explain_zpl, language_detect, tspl_validate, zpl_command_help, and 3 more.
It answered our last check on 18 October 2026 in 289 ms. Over 10 checks since 5 September 2026 it answered 10.
Put the server under mcpServers in ~/.cursor/mcp.json with the URL https://api.labelixa.com/mcp. The exact JSON is above, with the same setup for Claude Code, Claude Desktop, VS Code, Windsurf, Zed, Gemini CLI and the rest.
It listed its tools to an anonymous client, so reading the tool list needs no key. Individual tools can still ask for credentials in their own inputs.
Publisher: com.labelixa. Endpoint host: api.labelixa.com. ARD identifier: urn:air:com.labelixa:mcp:zpl.
First indexed 31 August 2026. The tools are exactly what the server returned; nothing on this page
is inferred from its name. Ranking in Neuronto search is never for sale.