Dragon FAQs

Question 1

Which AI agents can utilize Dragon?

Accepted Answer

Dragon is built using the Model Context Protocol (MCP), making it compatible with AI agents that support this protocol, such as Claude, DeepSeek, and Qwen, allowing them to interact with local services directly.

Question 2

What kind of local services can Dragon connect AI agents to?

Accepted Answer

Dragon currently provides real-time public transport schedule queries (e.g., MTR in Hong Kong). Its roadmap includes simulating complex service flows like food delivery ordering, integrating with local payment systems like WeChat Pay and Alipay, and more transport options.

Question 3

What geographical regions does Dragon focus on?

Accepted Answer

Dragon primarily focuses on bridging AI agents with local life services within Greater China (Mainland China, Hong Kong) and other parts of Asia. Future plans include multi-region support to switch context between areas like Mainland China, Hong Kong, and Singapore.

Question 4

What is Dragon and what problem does it solve?

Accepted Answer

Dragon (DragonMCP) is a Model Context Protocol (MCP) server designed to connect AI agents to real-world local life services across Greater China and Asia. It solves the 'last-mile' interaction problem, enabling AI to perform practical tasks.

Question 5

What technologies are used to build Dragon?

Accepted Answer

Dragon is built with a robust core framework using Express, the MCP SDK, and TypeScript, ensuring a scalable and maintainable server development environment for connecting AI agents to real-world applications.

Dragon

Dragon

Key Features

Use Cases

Key Features

Use Cases