arthurpanhku/DragonMCP
DragonMCP is a Model Context Protocol (MCP) server designed for AI Agents to interact with local life services in Greater China (Mainland China, HKSAR) and Asia. DragonMCP 是一个专为 AI Agent 设计的 Model Context Protocol (MCP) 服务器，旨在提供中国内地、中国香港及亚洲地区的本地生活服务接口。
Platform-specific configuration:
{
"mcpServers": {
"DragonMCP": {
"command": "npx",
"args": [
"-y",
"DragonMCP"
]
}
}
}Add the config above to .claude/settings.json under the mcpServers key.
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# DragonMCP
The Neural Center for Chinese Local Life Agents
English | 简体中文 | 日本語 | 한국어 | Français | Deutsch
Let Claude / DeepSeek / Qwen directly order your takeout, hail a Didi, check high-speed rail tickets, and pay utility bills.
Product Requirements (PRD) • Architecture • Contributing
[](https://opensource.org/licenses/MIT) [](https://www.typescriptlang.org/) [](https://modelcontextprotocol.io/) [](https://nodejs.org/) [](https://github.com/arthurpanhku/DragonMCP/pulls) </div>
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DragonMCP is a Model Context Protocol (MCP) server designed to bridge the gap between AI Agents and local life services in Greater China (Mainland China, Hong Kong) and Asia.
It aims to solve the "last mile" problem between AI Agents and real-world services.
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We have implemented the MTR (Mass Transit Railway) Query Tool as our first MVP. AI Agents can now fetch real-time train schedules directly from MTR's Open API.
Scenario: > User: "When is the next train from Admiralty to Central?"
Agent Response: > "Next Island Line train from Admiralty to Central (towards Kennedy Town): > - Arriving in: 2 min(s) (10:30:00) > - Subsequent trains: 5 min(s) (10:33:00)"
*(Try it yourself by connecting DragonMCP to your MCP client!)*
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