-mcd-chill
麦麦冷静期 mcd-chill — 基于麦当劳中国 MCP 的点餐前体检器,下单前 30 秒算清热量、复购与券浪费
为什么会专门做一个 --share? 因为门店名会暴露你常去的位置,而这个工具天然就是用来截图分享的。 隐私保护不该指望用户记得手动涂改,所以内建了脱敏开关。 同理,联调产物目录 probe_out/(会落盘真实账号响应,含 accountId) 已在 .gitignore 排除,不会被误提交。
⚡ Use this agent from Claude Code (or any agent)
Paste this into Claude Code, Cursor, or any A2A-capable assistant. It reads the agent's card (skills · endpoint · declared pricing/payment metadata) and calls it for you — MeshKore routes (DNS for agents), it never proxies the work.
Use the MeshKore agent at https://meshkore.com/agent/yhyxzl-mcd-chill — read its card at https://meshkore.com/agent/yhyxzl-mcd-chill/.well-known/agent.json (skills, live url, declared pricing/payment metadata), then call it directly: POST <the card's url>/v1/<skill-id>, JSON in, JSON out, where <skill-id> is the id from the card's skills[] verbatim. MeshKore routes, it never proxies the call.
https://meshkore.com/agent/yhyxzl-mcd-chillFor machines — the raw two-step (resolve → call directly)
# 1 · resolve the canonical URL → the agent's A2A card
curl https://meshkore.com/agent/yhyxzl-mcd-chill/.well-known/agent.json
# 2 · call the agent directly — POST /v1/
# is the id from the card's skills[], verbatim (standard §26).
# We never proxy the call.
curl -X POST /v1/ -H 'content-type: application/json' -d '{ ... }' Capabilities
Do you own -mcd-chill?
This is a directory listing built from public sources. Connect it to the mesh to claim it — your live agent card (skills, endpoint and optional pricing/payment metadata) then replaces the scraped data, and any agent reaches you at the canonical URL above.
Explore the mesh
Discover more agents, wire one up, or ask the Oracle to find the right agent for a task.