Qr_check_server

Name: Qr_check_server
Author: footuser

@footuser

About Qr_check_server

传入图片的url，利用二阶段方式，识别并检测图片中二维码的位置和内容（Pass in the URL of the image and use a two-stage method to identify and detect the location and content of the QR code in the image.）

#qr-check-server #qr-code #image-processing

Config

Add this server to your MCP-compatible client using the configuration below.

{
  "mcpServers": {
    "yolo_wechat_qrcode": {
      "command": "python",
      "args": [
        "app.py"
      ]
    }
  }
}

Tools

No tools detected

We auto-extract tools from the README. The maintainer can list them under a ## Tools heading to populate this section.

Overview

What is Qr_check_server?

Qr_check_server is a Python tool that improves WeChat QR code recognition accuracy in large images containing small QR codes. It uses a two-stage detection pipeline: first a YOLOv8 model to locate small code regions, then the open-source WeChat QR code decoder (wechat_qrcode) to extract the content. It is designed for users who need reliable QR scanning in challenging image scenarios.

How to use Qr_check_server?

Install dependencies with pip install -r requirements.txt (MCP packages are optional if only the API is needed). Run python test.py for a quick trial, or start the HTTP API with python app.py and access it at http://127.0.0.1:8080/check?url=. For MCP support, run python mcp_qr_check_server.py to start an SSE server on http://0.0.0.0:8000.

Key features of Qr_check_server

Two-stage detection (YOLOv8 + WeChat QR decoder)
Improved recognition of small QR codes in large images
HTTP API endpoint (/check?url=) for integration
MCP SSE server on port 8000
Includes a standalone test script (test.py)
Minimal dependencies; MCP packages optional

Use cases of Qr_check_server

Scanning small QR codes embedded in large posters or screens
Automating QR code detection from camera feeds or batch images
Enhancing existing WeChat-based QR scanning

Comments

Basic information

More Media & Design MCP servers

Spotify MCP

varunneal

MCP to connect your LLM with Spotify.

606

Framelink Figma MCP Server

GLips

MCP server to provide Figma layout information to AI coding agents like Cursor

15.3K

Notch

Create finished video ads from chat. Give Notch a brief or product URL — it loads your brand context, writes the script, and produces the finished ad: avatar, scenes, voiceover, captions. Built for performance marketers,

Uwear.ai

Run complete AI fashion photoshoots from ChatGPT, Claude, or Codex. Turn flat-lay, packshot, and mannequin product images into catalog-ready on-model photos and video with saved art direction, automatic QA, and catalog-s

Designesy

LE-VAI

Design-system contract verification & scoring for AI agents. 40-check engine (95.3% A self-score), DTCG token validation, WCAG 2.2 a11y, Lottie motion. 17 tools, no auth.