Stars
★ 24
MCP Server
Stale
MIT
cloudlocal
arthurpanhku/DragonMCP
MCP server for Greater China local life services: Meituan/Ele.me food delivery, Didi/Meituan ride-hailing, WeChat Pay/Alipay, Amap/Baidu Maps, 12306 high-speed rail, Taobao/JD/Xianyu e-commerce, Hong Kong government e-services, and more.
Quality score 47/100
Last commit
4mo ago
Language
TypeScript
Install
npm / npx
Category
Repository
Installation
Example client config (verify package name in the repo README)
{
"mcpServers": {
"DragonMCP": {
"command": "npx",
"args": ["-y", "DragonMCP"]
}
}
}Related in Delivery
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childrentime/reactuse
MCP server for the [ReactUse](https://reactuse.com) library — 110+ React Hooks (TypeScript-first, SSR-compatible, tree-shakable). Lets AI assistants discover hook signatures, demos, and usage patterns directly from the docs.
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Dudude-bit/yandex-lavka-mcp
Order groceries from **Yandex Lavka** (Russia): search the catalog, build a cart, and place an order with a two-step confirmation before any charge. Unofficial (reverse-engineered private web API); local stdio or remote HTTP with OAuth. `uvx yandex-lavka-mcp`.
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warpfreight/warp-agent-mcp
Book real LTL/FTL/van/box-truck freight through the Warp network. 20 tools, in-chat login, Stripe-charged bookings, real carrier dispatch. Live demo at [wearewarp.com/agents/mcp](https://wearewarp.com/agents/mcp).
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kannajune/mcp-architect
Gives any AI assistant real architectural understanding of a codebase: tech-stack overview, internal dependency graph with cycle detection, risk hotspots, and module summaries. Local, zero-config, no API keys. `uvx mcp-architect`.
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LS-SIEM-LLP/qa-probe
Probes your live API and classifies why each endpoint failed (root cause + evidence + calibrated confidence) over MCP, so your AI assistant debugs from evidence instead of guessing. Deterministic rules, no black box. Works with FastAPI, Express, Next.js, tRPC, and GraphQL. `npm i -g qa-probe`
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Yang1Bai/claw-tsaver
Token-saving MCP proxy that intercepts oversized tool returns and replaces them with a preview + on-demand handle. Real benchmark: 11,507 tokens → 104 tokens (99.1% saved) on a Wikipedia fetch. Works with OpenClaw + Claude.