The Zomato MCP server is a testing tool for food ordering, supporting functions such as restaurant discovery, menu browsing, shopping cart creation, food ordering, and QR code payment.

A service toolset based on the Model Context Protocol, providing functions such as encoding conversion, network diagnosis, system monitoring, security encryption, and QR code generation, and supporting LLM agents to call system tools.

A QR code generation server based on the MCP protocol

OpticMCP is an MCP server that provides camera and visual tools for AI assistants. It supports multiple functions such as USB cameras, IP network cameras, screen capture, image analysis, and QR code decoding, implementing a universal camera interface.

A Monorepo project containing various web development tools, providing functions such as encoding conversion, color processing, date - time manipulation, and QR code generation, and implementing request - response processing through MCP server integration.

A QR code generation server based on FastMCP, supporting text-to-QR code conversion and outputting base64-encoded data. It provides multiple transmission modes and custom style functions.

A Node.js/TypeScript library for generating, decoding, and verifying PayBySquare payment QR codes. It supports complete payment fields, compliance checks, and provides MCP server integration for easy interaction with AI assistants such as Claude.

A Mi Home smart home control server based on the Model Context Protocol, supporting functions such as device management, status monitoring, and scene linkage. It realizes seamless integration with the Mi Home account through QR code login.

A lightweight MCP server that enables AI agents or MCP - compatible assistants to initiate and verify PID (Personal Identity Data) credential presentations through the OIDC4VP protocol, suitable for secure, QR - code - based wallet interactions.

A small tool that improves the accuracy of WeChat QR code recognition through two-stage detection. First, use YOLOv8 to locate the position of the QR code, and then use the WeChat open-source model to extract the content.