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polaris-smart/mcd-agent-gourmet

麦门点餐议事会:用官方 MCP 整单核价,让预算、口味、营养数据三种意见透明比较。免 Token 网页体验,Python 零依赖。

Latest metrics (snapshot 2026-10-15)

stars35
forks1
issues0
pushed_at2026-10-13T18:33:33Z

History

History chart: 1 daily snapshot so far (archive started 2026-10-14). The line fills in as the daily archive grows; full series via the API.

DateGitHub stars
2026-10-1535

ADC Momentum: 58/100

ADC Momentum 58 Leaderboard

Growth velocity65
Consistency52
Recency93
Agent demand0
Basisbootstrap

ADC Momentum (0-100) = 45% growth velocity (stars/likes gained per day in our daily archive, relative and absolute, percentile-ranked within the category) + 20% consistency (share of recent days with growth) + 20% recency (latest push/update/release, decaying) + 15% agent demand (how often AI agents looked it up via our API/MCP this week). MCP servers use release cadence; LLMs use price cuts, context and recency. Recomputed daily; scores marked "bootstrap" use lifetime rates until the archive has enough days. Method

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Details

description麦门点餐议事会:用官方 MCP 整单核价,让预算、口味、营养数据三种意见透明比较。免 Token 网页体验,Python 零依赖。
urlhttps://github.com/polaris-smart/mcd-agent-gourmet
languagePython
licenseNOASSERTION
topics2026
agent-skill
agent-skills
llm
m-code
mcdonalds
mcp
mcp-client
model-context-protocol
multi-agent
python
skill
created_at2026-10-12T15:27:47Z
homepagehttps://polaris-smart.github.io/mcd-agent-gourmet/

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