This server generates QR code PNG images from text or URLs, with the following customization options:
Text/URL encoding: Convert any text or URL into a QR code PNG image
Size: Adjust the output image from 64–2048px (default: 512px)
Error correction level: Choose L (low), M (medium, default), Q (quartile), or H (high) to balance data density vs. damage resilience
Margin: Set the quiet zone border padding from 0–20 modules (default: 2)
Foreground color (darkColor): Specify using a hex code (default: #000000)
Background color (lightColor): Specify using a hex code (default: #FFFFFF)
Structured output: Returns both the PNG image and a text summary of the encoded value and applied options
Click on "Install Server".
Wait a few minutes for the server to deploy. Once ready, it will show a "Started" state.
In the chat, type @ followed by the MCP server name and your instructions, e.g., "@mcp-qr generate a QR code for https://example.com"
That's it! The server will respond to your query, and you can continue using it as needed.
Here is a step-by-step guide with screenshots.
텍스트/URL을 QR 코드 PNG로 생성해 반환하는 MCP 서버. Hermes에 "이거 QR로 보여줘"라고 하면 이미지를 돌려준다.
이 repo는 QR MCP인 동시에, 이후 Node 계열 MCP가 복사해 쓰는 레퍼런스 구조다. (표준:
00_MCP_표준_아키텍처_v1)
generate_qrQR 코드를 PNG로 생성한다.
파라미터 | 타입 | 필수 | 기본 | 설명 |
| string | ✅ | — | 인코딩할 텍스트/URL |
|
|
| 오류 정정 수준 | |
| number(px) |
| 출력 한 변 길이 (64–2048) | |
| number |
| 여백(모듈 단위, 0–20) | |
| string(hex) |
| 전경색 | |
| string(hex) |
| 배경색 |
출력: PNG image 콘텐츠 + 구조화 텍스트(인코딩한 원문, 적용된 옵션 요약).
예제 출력: examples/qr_example.png (https://zeolinex.com, 기본 옵션).
Related MCP server: URL2QR MCP Server
git clone https://github.com/molpass/mcp-qr.git
cd mcp-qr
npm install && npm run build예제 PNG를 직접 생성해 보려면:
npm run example # examples/qr_example.png 재생성MCP 클라이언트 설정(JSON)에 등록한다. 서버명은 qr:
{
"mcpServers": {
"qr": {
"command": "node",
"args": ["/abs/path/mcp-qr/dist/index.js"]
}
}
}
/abs/path는 클론한 실제 절대경로로 바꾼다. Windows 예:"args": ["C:/Users/<you>/mcp-qr/dist/index.js"]기존 등록 MCP(korean-law-mcp 등)와 동일한 방식.
Node 20+ / TypeScript
@modelcontextprotocol/sdk (stdio)
qrcode (PNG 생성)
로고 합성·라운드 스타일 등 후처리(sharp 기반)는 v1.1로 분리한다. v1은 색상/크기/여백/정정수준 조합까지.
페어링 스킬: skill/qr.skill.md — 사용자 의도를 generate_qr 파라미터로 매핑한다.
Hermes Agent용 MCP — molpass의 바이브 코딩(vibe coding) 프로젝트.
아이디어·방향: molpass (이정훈) · https://zeolinex.com
기획: Claude (Chat)
개발: Claude Code
자가 호스팅 Hermes Agent에 도구로 붙여 쓰는 MCP 서버입니다.
같은 모음:
mcp-saju — 사주명리 만세력
mcp-qr — QR 코드 생성
mcp-biorhythm — 바이오리듬
mcp-astrology — 서양 점성술 네이탈 차트
mcp-ziwei — 자미두수 명반
mcp-numerology — 수비학
mcp-liuren — 대육임
mcp-qimen — 기문둔갑
mcp-taiyi — 태을신수
mcp-weather — 한국 날씨·미세먼지
mcp-newsfeed — 한국 주요뉴스
MIT
텍스트나 URL을 받아 QR 코드를 PNG 이미지로 생성한다. 색상·크기·여백·오류정정 수준을 조절할 수 있다.
| Name | Required | Description | Default |
|---|---|---|---|
| text | Yes | 인코딩할 텍스트 또는 URL | |
| errorCorrectionLevel | No | 오류 정정 수준 (L<M<Q<H) | M |
| size | No | 출력 한 변 길이(px) | |
| margin | No | 여백(모듈 단위) | |
| darkColor | No | 전경색 (hex, 예: #000000) | #000000 |
| lightColor | No | 배경색 (hex, 예: #FFFFFF) | #FFFFFF |
Does the description disclose side effects, auth requirements, rate limits, or destructive behavior?
No annotations are provided, so the description must disclose behavioral traits. It mentions generating a PNG image but does not specify how the image is returned (e.g., as binary data, base64, or a URL). Missing information about output format, error handling, or performance implications.
Agents need to know what a tool does to the world before calling it. Descriptions should go beyond structured annotations to explain consequences.
Is the description appropriately sized, front-loaded, and free of redundancy?
Two short sentences that efficiently convey the purpose and key customization options. No unnecessary words or redundancy.
Shorter descriptions cost fewer tokens and are easier for agents to parse. Every sentence should earn its place.
Given the tool's complexity, does the description cover enough for an agent to succeed on first attempt?
While the purpose is clear, the description lacks details about output handling (e.g., return type, storage), error behavior, and any prerequisites. For a tool with no annotations and no output schema, this leaves significant gaps in context needed for reliable invocation.
Complex tools with many parameters or behaviors need more documentation. Simple tools need less. This dimension scales expectations accordingly.
Does the description clarify parameter syntax, constraints, interactions, or defaults beyond what the schema provides?
The schema covers 100% of parameters with clear descriptions. The description adds a summary of adjustable attributes (color, size, margin, error correction), but this largely restates what is already in the schema, providing minimal additional semantic value.
Input schemas describe structure but not intent. Descriptions should explain non-obvious parameter relationships and valid value ranges.
Does the description clearly state what the tool does and how it differs from similar tools?
The description clearly states that the tool takes text or URL and generates a QR code as a PNG image. It provides a specific verb (generate) and resource (QR code), leaving no ambiguity about the tool's core function.
Agents choose between tools based on descriptions. A clear purpose with a specific verb and resource helps agents select the right tool.
Does the description explain when to use this tool, when not to, or what alternatives exist?
No guidance on when to use this tool versus alternatives, and no mention of prerequisites or limitations. The description simply states what the tool does without any contextual usage advice.
Agents often have multiple tools that could apply. Explicit usage guidance like "use X instead of Y when Z" prevents misuse.
Recent tool additions, removals, and schema changes observed during successful MCP inspections. Dates show when Glama detected each change.
v1.0.0generate_qrWith only one tool, there is no possibility of confusion. The tool has a unique purpose and is clearly distinguished by default.
The single tool name 'generate_qr' follows a clear verb_noun pattern, which is consistent and predictable.
Having only one tool is slightly below the typical well-scoped range (3-15), but for a focused QR code generator this is reasonable and not excessive.
The tool covers core QR code generation with customization options, but lacks related operations like reading or decoding, which would make the surface more complete.
Unclaimed servers have limited discoverability.
If you are the server author, to access and configure the admin panel.
Generate QR codes for URLs, PIX, Wi-Fi, vCards, WhatsApp and more. For AI agents.
Generate static QR codes (URL, WiFi, vCard, pixel art) and decode QR images. Codes never expire.
QR & barcode toolkit: generate, decode, vector SVG, logo QR, WiFi and vCard QR codes.
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