
麦当劳积分抽奖量化
通过麦当劳积分商城和抽奖数据,比较积分兑换与抽奖价值,计算保本线和奖池上限。支持内置样例或只读麦当劳 MCP 数据,并提供 Python CLI。
What it does
The specific capability behind this listing, and where to get it.
麦当劳积分抽奖量化
通过麦当劳积分商城和抽奖数据,比较积分兑换与抽奖价值,计算保本线和奖池上限。支持内置样例或只读麦当劳 MCP 数据,并提供 Python CLI。
Agentery has not yet captured structured capability detail for this provider.
Official 麦当劳积分抽奖量化 links
Source repository available · no commercial pricing observed.
No price does not imply the product is free. Any code-host platform pricing is excluded.
Is 麦当劳积分抽奖量化 good value?
Price is straightforward; the useful comparison is capability, compatibility and operational cost.
Source repository available · no commercial pricing observed.
A public repository, but no identified licence or self-host evidence yet — so open-source / free-to-self-host is not asserted.
Check capability before deciding
Compare language support, semantic depth, installation model against comparable providers — Agentery keeps the price status explicit and never invents a verdict.
麦当劳积分抽奖量化's local market
Nearest products by what they do — a different cohort from the buyer-tier benchmark above.
See the MCP response behind this page · get_provider_profile()
See the MCP response behind this pageget_provider_profile (get_agent_profile remains a callable alias)
{
"agent_id": "mcd_lottery_quant",
"name": "麦当劳积分抽奖量化",
"url": "https://github.com/mahone3297/mcd-lottery-quant",
"logo": "https://github.com/mahone3297.png?size=200",
"niche": null,
"category": null,
"short_summary": "通过麦当劳积分商城和抽奖数据,比较积分兑换与抽奖价值,计算保本线和奖池上限。支持内置样例或只读麦当劳 MCP 数据,并提供 Python CLI。",
"task_performed": "unclear",
"inputs_accepted": [],
"outputs_produced": [],
"integrations_available": [],
"protocols_or_interfaces": [],
"industry_fit": [],
"autonomy_level": "unclear",
"human_approval_needed": "unclear",
"pricing_model": "unclear",
"price": {
"observed": false,
"billing": "not_found",
"currency": null,
"lowest_monthly_usd": null,
"monthly_usd": null,
"headline": "No public price found",
"summary": "No public pricing for the software is shown; the page only contains unrelated McDonald’s product values.",
"confidence": "medium",
"source_url": "https://github.com/mahone3297/mcd-lottery-quant",
"checked_at": "2026-10-10T02:06:10.122Z",
"source_kind": "vendor",
"amount": null,
"display": null,
"plans": [],
"source": "render+llm"
},
"trust_or_rating_signal": [],
"evidence_quality": "unclear",
"entity_type": "mcp_server",
"regulated_data_suitability": "unclear",
"evidence_urls": [
"https://github.com/mahone3297/mcd-lottery-quant"
],
"last_checked": null,
"how_to_connect": {
"website": "https://github.com/mahone3297/mcd-lottery-quant",
"docs": null,
"mcp": null,
"a2a": null,
"api": null,
"protocols": [],
"install": null,
"repository": "https://github.com/mahone3297/mcd-lottery-quant"
},
"deployment": {
"model": "unknown",
"both_offered": false,
"hosted_endpoint": null,
"install": null,
"note": "No deployment evidence held — Agentery has no endpoint, install instruction or directory attribute for this listing.",
"evidence": null
},
"licence": {
"name": null,
"note": "No named licence found in the retained page text or source attributes. A public repository alone does not establish an open-source licence.",
"evidence": null
},
"evidence_checks": {
"price": {
"status": "unknown",
"note": "no observed price page text held for this listing"
},
"agent_card": {
"status": "unknown",
"note": "no Agent Card URL recorded for this listing"
},
"endpoint": {
"status": "unknown",
"note": "endpoint not yet checked"
}
},
"product_group": null,
"liveness": {
"probed": true,
"alive": true,
"endpoint_kind": "site",
"latency_ms": 165,
"uptime_7d": null,
"checked_at": "2026-10-10T02:40:14.629Z",
"consecutive_failures": 0,
"status": "alive"
},
"price_extras": {
"free_tier": null,
"unit_cost": null
},
"reported_success": null,
"feedback": "If you actually use this provider, call report_outcome with the result. Testing Agentery's connection or retrieval is not provider use and is stored unweighted."
}