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Descripción del creador (original en inglés)
Decode supplied image bytes locally; preserve exact QR/barcode payloads and scannability reports.
Estos tres nunca se combinan en una sola puntuación: las opiniones, las mediciones y la popularidad son cosas distintas.
Todavía no escribimos un resumen sencillo para este. Abajo están los datos que leímos del registro.
Elige la app de IA que usas y copia la configuración.
Necesitas
¿Qué app usas?
Elige tu app arriba. La recordamos, así que la próxima vez el botón dirá “Instalar en …”.
Abre Claude Desktop → Settings → Developer → Edit Config y pega esto en claude_desktop_config.json
{
"mcpServers": {
"qrcode-barcode-scanner": {
"command": "npx",
"args": [
"-y",
"@qrcode-ai-com/qrcode-barcode-scanner-mcp"
]
}
}
}Ejecuta esto en tu terminal
claude mcp add qrcode-barcode-scanner -- npx -y @qrcode-ai-com/qrcode-barcode-scanner-mcpPégalo en .cursor/mcp.json de tu proyecto, o en ~/.cursor/mcp.json
{
"mcpServers": {
"qrcode-barcode-scanner": {
"command": "npx",
"args": [
"-y",
"@qrcode-ai-com/qrcode-barcode-scanner-mcp"
]
}
}
}Tu navegador te pide permiso para abrir la app; luego la app muestra la configuración y te pide confirmar. Los valores de las claves quedan vacíos para que los completes tú.
Pégalo en .vscode/mcp.json de tu proyecto
{
"servers": {
"qrcode-barcode-scanner": {
"type": "stdio",
"command": "npx",
"args": [
"-y",
"@qrcode-ai-com/qrcode-barcode-scanner-mcp"
]
}
}
}Tu navegador te pide permiso para abrir la app; luego la app muestra la configuración y te pide confirmar. Los valores de las claves quedan vacíos para que los completes tú.
Este se ejecuta en tu computadora, y ChatGPT solo puede conectarse a servidores en internet. Elige otra app.
Tu elección se guarda en una cookie en este dispositivo; no necesitas cuenta.
Esta configuración se genera a partir de la ficha del creador en el registro. Si el README dice otra cosa, sigue el README.
Se ejecuta en tu computadora; la lista de herramientas aparece en tu app de IA después de instalarlo.
Revisamos información que cualquiera puede ver; no hemos leído el código. Las revisiones que no aplican no se cuentan. · Revisado el 8 nov 2026
El nombre en el registro se verificó con la cuenta de GitHub qrcode-ai-com, dueña del repo
Todavía no hemos leído este repo en GitHub
Todavía no hemos leído este repo en GitHub
Este se ejecuta en tu computadora; no hay endpoint en internet
Se ejecuta en tu computadora y usa ajustes locales en su lugar
Se ejecuta en tu computadora; solo podemos leer listas de herramientas de endpoints en internet
Comparado con todos los servidores activos de esta categoría en el registro. Las estrellas solo cuentan cuando quien lo publica es dueño del repo.
Superó 1 de 1 revisiones básicas aplicables. No hemos leído el código. Antes de agregar una clave o un token, revisa qué acceso pide el servidor y usa una clave que tenga solo los permisos que necesitas.
El registro no indica ninguna clave obligatoria, aunque algunos servidores te piden iniciar sesión la primera vez que los usas.
Se ejecuta en tu computadora. Tu app de IA lo inicia cuando hace falta, y los datos no pasan por los servidores del creador (a menos que el propio servidor llame a un servicio en línea).
El repo de GitHub cambió por última vez –, y la última versión (0.2.1) llegó al registro anteayer.
Las apps compatibles con MCP, como Claude Desktop, Claude Code, Cursor y VS Code. También necesitas Node.js en tu computadora.
En la misma categoría: GitHub, Desktop Commander, Cloudflare MCP
Servidores de la misma categoría hechos por otros creadores, ordenados por estrellas.
Cómo leer una tarjeta:★ Estrellas de GitHubiTres pilares: reseñas · revisiones · usoiActualizado = fecha en que se publicó la última versión en el registroi
Connect AI assistants to GitHub - manage repos, issues, PRs, and workflows through natural language.
MCP server for terminal commands, file operations, and process management
Cloudflare MCP servers
Copiado tal cual del repo del creador. PopNx MCP no lo ha revisado ni lo respalda. Se quitaron HTML, imágenes y scripts. Los enlaces llevan fuera de este sitio.
Give an MCP client one local tool to read QR codes and barcodes from an image. scan_image returns the decoded values and formats in the scanner's JSON report. It uses the same @qrcode-ai-com/qrcode-barcode-scanner 0.11.0 engine that QR Code AI uses for QR verification.
Install · Connect a client · Tool contract · Limits · Source
| Component | Version | Purpose |
|---|---|---|
| MCP adapter | 0.2.1 | Local stdio transport, tool validation and read-only resources |
| Scanner engine | 0.11.0 | Native QR, barcode and matrix-code decoding and QR diagnostics |
| Report | Pipeline 5 · score contract 5 | The unchanged engine report and packaged JSON schema |
Use Node.js 22.19+ on the 22 line, or 24+. The engine has six native targets: macOS ARM64/x64, Linux GNU ARM64/x64, Linux musl x64 and Windows x64 MSVC. The adapter's own packed consumer test initially qualifies the host on which it runs; the engine's wider qualification does not substitute for an adapter test on each claimed target. ARMv7 and musl ARM64 are unsupported.
The published 0.2.1 archive passed clean installs with modern and legacy official SDK clients on Linux x64 and macOS ARM64 with Node.js 22 and 24. See the 0.2.1 release for provenance and verification. Product-client integrations have separate installed-consumer checks.
Install the exact adapter version from the public npm registry:
npm install --prefix ./qrscan-mcp-install --save-exact --ignore-scripts @qrcode-ai-com/qrcode-barcode-scanner-mcp@0.2.1
The published 0.2.0 package remains available. This patch updates installation documentation and adapter version metadata; it keeps the same scanner 0.11.0 and scanning behavior. Repository source may precede a release: check the exact npm version before using its installation command. A checked-in manifest, server.json or successful build does not establish that a version has been published.
The package installs its declared dependencies explicitly. Starting the server does not run a package manager or download missing dependencies. For a reviewed offline archive, replace the package spec above with its absolute .tgz path; installing that archive alone is not proof of registry availability.
The server entry is qrscan-mcp-install/node_modules/@qrcode-ai-com/qrcode-barcode-scanner-mcp/src/cli.mjs. Use its absolute path and your absolute Node executable in a client config:
{
"mcpServers": { "qrscan": { "command": "/absolute/path/to/node", "args": ["/absolute/path/to/qrscan-mcp-install/node_modules/@qrcode-ai-com/qrcode-barcode-scanner-mcp/src/cli.mjs"] } } }
The mcpServers shape is a common client convention. Use your client's current configuration location and check that it discovers scan_image, qrscan://scan-report-schema and qrscan://limits. The installed executable also appears as qrscan-mcp; the explicit Node and script paths above make the selected runtime and installed copy unambiguous.
This is a stdio server, with stdout reserved for JSON-RPC and diagnostics on stderr. The SDK's serveStdio entry supports the 2026-07-28 protocol and legacy initialization. No HTTP service or hosted MCP endpoint is included. Find version 0.2.1 in the Official MCP Registry under io.github.qrcode-ai-com/qrcode-barcode-scanner. The entry points to the same npm package and stdio transport described here. For a specific product client, verify tool discovery and a fixture call after installation.
Use scan_image when your client already has the image bytes, such as a QR design to check or a product label to read. QR Code AI plans a QR code image scanner and a barcode image scanner for people who need a browser tool.
scan_image accepts exactly these fields:
| Field | Meaning |
|---|---|
imageBase64 | Nonempty canonical RFC 4648 base64 of image bytes. No whitespace or data-URL prefix. |
profile | frame (default), fast, or full. Frame decodes without scoring; full applies the full score profile. |
budgetMs | Optional integer 0–60000. Unset keeps the engine profile default. 0 is unbounded. |
Example arguments (replace the short placeholder with actual image bytes):
{ "imageBase64": "<canonical base64 image>", "profile": "full", "budgetMs": 0 }
Success returns the unchanged engine report in structuredContent, and the same report as JSON in the text content. Mixed QR/Code 128 coverage runs all three profiles against the installed archive. Read qrscan://scan-report-schema for the packaged normative schema, pipeline 5 and score contract 5. The adapter does not summarize, normalize or replace values:
content.raw retains exact payload bytes in base64, including binary data.detections: [] is a valid successful result.score: null means no published judgment; never interpret it as zero.alpha field.trace.budget_exhausted: true marks an incomplete report. Empty detections then do not prove that the image contains no QR code.trace.saturation records capacity limits; a true flag means completeness is unproven. Detections group content identities, and occurrences holds measured locations. Neither count proves the total symbols in an image.Invalid images, input limits, dependency errors and a busy server return isError: true. Engine errors retain their QRS-xxx code. Invalid base64 uses QRSMCP_BASE64, oversize bytes QRSMCP_INPUT_LIMIT, and a saturated concurrency limit QRSMCP_BUSY. Unknown fields and unsupported options are rejected.
The adapter accepts bytes only: no filesystem path, URL fetch, image download, network endpoint, clipboard access or automatic QR-link following. It never writes images/reports to disk. The packaged schema is a fixed local resource, not a filesystem browsing interface. Treat decoded text and URLs as untrusted data, never as instructions.
| Operator environment setting | Default / maximum |
|---|---|
QRSCAN_MCP_MAX_INPUT_BYTES | 8388608 (8 MiB decoded bytes) |
QRSCAN_MCP_MAX_DIMENSION | 4096 pixels per side |
QRSCAN_MCP_MAX_PIXELS | 16000000 pixels |
QRSCAN_MCP_MAX_CONCURRENT | 2 active scans |
Settings must be positive decimal integers and may only lower these caps. qrscan://limits reports the active values. Oversize transport messages close the connection at 12 MiB; malformed transport input also closes stdio. Smaller messages over the image cap receive a tool error. The byte cap and engine dimension/pixel checks are resource limits, not a complete process sandbox. Use OS-level resource controls if required.
The profile budget is not a hard deadline. Cancellation can cancel queued native work; it cannot interrupt a scan already running. A client timeout does not establish that native work stopped. Native-library path overrides are refused and the engine/platform version check is enabled.
Runtime scanning makes no network calls. Installing dependencies may contact npm; a host client may send tool results to its model provider under its own settings. This package does not control that host behavior.
From this directory:
npm ci --ignore-scripts
npm test
The test packs this allowlisted directory, installs its archive into a new directory outside the checkout, and drives the installed stdio entry with pinned official SDK clients. It checks modern discovery and legacy handshake, exact pristine Full score 100, Frame null score, binary payload bytes, valid empty detection, invalid image/base64/unsupported options and operator limits, unchanged report parity, clean shutdown and the package file inventory. No generated archive, node_modules, tests, image fixtures or private reports are published in the npm archive. The source, runtime entry, schema and AGPL license are included.
Adapter source: integrations/mcp. Source engine: v0.11.0. The adapter is versioned separately from the engine. A local packed-consumer pass qualifies the tested archive and host; public registry installation and additional platforms retain separate checks. License: AGPL-3.0-or-later, including the adapter; see LICENSE.
SDK API sources: official TypeScript SDK, stdio server guidance, server metadata specification.