Works with the AI tools you already use
qr code generator
by Jose Luis
Generate scannable QR codes from URLs, text, and contact data via local MCP tool integration.
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See it in action
You say
Generate a high-resolution QR code for https://github.com/agensi-ai with high error correction.
Your agent does
I have generated the QR code for your URL. Settings:
- Data: https://github.com/agensi-ai
- Error Correction: H (High)
- Status: Success [QR Code Image Generated]
What you get
About this skill
The problem
Sharing complex URLs, contact details, or plain text between physical and digital spaces is friction-heavy. Users hate manual typing, and developers need a local, reliable way to bridge that gap without external API dependencies.
What it does
- Generates QR code images from any string, URL, or vCard data locally.
- Supports configurable error correction levels (L, M, Q, H) for high-scan reliability.
- Provides adjustable pixel dimensions for specific UI requirements.
- Handles errors gracefully with structured responses for missing parameters or invalid types.
Frameworks & tools
Compatible with any environment supporting MCP (Model Context Protocol) servers. Operates entirely offline using the qr_code_generator tool.
Why this beats prompting it yourself
Standard LLMs cannot generate actual image files or perform the mathematical encoding required for valid QR codes. This skill provides the logical bridge to a functional local utility, ensuring the output is a scannable asset rather than just an ASCII approximation.
Use cases
- Generating scannable links for meeting invites or documentation.
- Creating vCard QR codes for quick contact sharing.
- Embedding physical-to-digital bridge links in generated reports.
- Offline QR generation for secure environments.
Known limitations
This tool runs entirely offline and requires the qr_code_generator MCP server to be active in your environment.
How to install
Drop the file into your AI Agent. Works with Claude, Cursor, ChatGPT, and 20+ more.
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