# QR Code Generator

> Use this tool when you need to generate QR codes dynamically within AI-assisted applications or workflows, solving problems such as automated data encoding and visualization. It takes input through a command-line interface or integration with MCP clients, and outputs QR codes in various formats. Ideal for use cases requiring flexible and configurable QR code creation, such as data sharing, authentication, or inventory tracking.

Canonical page: https://skillsregistry.net/skills/jwalsh-qrcode  
JSON: https://api.skillsregistry.net/v1/skills/jwalsh-qrcode

## Description

This MCP server implementation provides QR code generation functionality. Developed by Jason Walsh, it utilizes the qrencode utility and offers a command-line interface as well as integration with MCP clients like Claude Desktop and MCP Inspector. The server supports various output formats and configuration options, making it suitable for use cases requiring dynamic QR code creation within AI-assisted applications or workflows.

## Trust

- **Trust score (0–1):** 1.00
- **Verification tier:** verified
- **Last scanned:** 2026-09-19

## Facts

- **Version:** 1.0.0
- **Skill type:** atomic
- **Execution layer:** mcp-remote
- **Runtime environment:** api
- **Category:** api-integration
- **Updated:** 2026-09-19

## Source

- **Source listing:** [PulseMCP](https://www.pulsemcp.com/servers/jwalsh-qrcode)
- **Repository:** <https://github.com/jwalsh/mcp-server-qrcode>

## Use it

Resolve this record through the SkillsRegistry MCP server (no auth, read-only):

```
claude mcp add --transport http --scope user skillsregistry https://api.skillsregistry.net/mcp
```

```json
{
  "jsonrpc": "2.0",
  "id": 1,
  "method": "tools/call",
  "params": {
    "name": "get_skill",
    "arguments": {
      "slug": "jwalsh-qrcode"
    }
  }
}
```

REST: `GET https://api.skillsregistry.net/v1/skills/jwalsh-qrcode` · pull for local use: `GET https://api.skillsregistry.net/v1/skills/jwalsh-qrcode/pull`

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SkillsRegistry indexes agent skills from public registries and GitHub. Skills we have analysed are scanned with Circle-IR and scored on six dimensions; each listing states its scan coverage. More: https://skillsregistry.net/llms.txt