songconmaisaix31-design/mcpet
把写代码时的 AI 搭子换上麦当劳制服，养在桌面角落：11:30 喊你干饭、汇报最划算的券、用营养数据把关；跑长任务时同步项目进度与 token 余额。
Latest metrics (snapshot 2026-10-28)
| stars | 311 |
|---|---|
| forks | 20 |
| issues | 0 |
| pushed_at | 2026-10-16T16:56:24Z |
History
| Date | GitHub stars |
|---|---|
| 2026-10-28 | 311 |
| 2026-10-27 | 311 |
| 2026-10-26 | 316 |
| 2026-10-25 | 323 |
| 2026-10-24 | 313 |
| 2026-10-23 | 311 |
| 2026-10-22 | 301 |
| 2026-10-21 | 282 |
| 2026-10-20 | 272 |
| 2026-10-19 | 209 |
| 2026-10-18 | 112 |
ADC Momentum: 44/100 (-5 since previous day)
| Growth velocity | 42 |
|---|---|
| Consistency | 70 |
| Recency | 57 |
| Agent demand | 0 |
| Basis | archive |
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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[](https://agentdataco.com/repo/songconmaisaix31-design/mcpet)<a href="https://agentdataco.com/repo/songconmaisaix31-design/mcpet"><img src="https://agentdataco.com/badge/repo/songconmaisaix31-design/mcpet.svg" alt="ADC Momentum"></a>Details
| description | 把写代码时的 AI 搭子换上麦当劳制服，养在桌面角落：11:30 喊你干饭、汇报最划算的券、用营养数据把关；跑长任务时同步项目进度与 token 余额。 |
|---|---|
| url | https://github.com/songconmaisaix31-design/mcpet |
| language | Python |
| topics | ai-agent desktop-pet llm mcdonalds mcdonalds-mcp mcp mcp-client pyside6 python stepfun workbuddy |
| created_at | 2026-10-10T14:43:08Z |
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