
麦太医
一个基于麦当劳 MCP 的趣味问诊应用,通过 12 项问答分析用户的口味偏好,并结合餐品与营养数据生成餐饮推荐、处方笺和诊断证明书。
What it does
The specific capability behind this listing, and where to get it.
麦太医
一个基于麦当劳 MCP 的趣味问诊应用,通过 12 项问答分析用户的口味偏好,并结合餐品与营养数据生成餐饮推荐、处方笺和诊断证明书。
Agentery has not yet captured structured capability detail for this provider.
Official 麦太医 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 麦太医 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.
麦太医'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": "maitaiyi",
"name": "麦太医",
"url": "https://github.com/XRayLau1/maitaiyi",
"logo": "https://github.com/XRayLau1.png?size=200",
"niche": null,
"category": null,
"short_summary": "一个基于麦当劳 MCP 的趣味问诊应用,通过 12 项问答分析用户的口味偏好,并结合餐品与营养数据生成餐饮推荐、处方笺和诊断证明书。",
"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 or paid plans are shown in the supplied homepage content.",
"confidence": "medium",
"source_url": "https://github.com/XRayLau1/maitaiyi",
"checked_at": "2026-11-04T01:34:54.806Z",
"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/XRayLau1/maitaiyi"
],
"last_checked": "2026-11-04",
"profile_checked": null,
"price_checked": "2026-11-04",
"how_to_connect": {
"website": "https://github.com/XRayLau1/maitaiyi",
"docs": null,
"mcp": null,
"a2a": null,
"api": null,
"protocols": [],
"install": "git clone < 本仓库地址 > ~ /.workbuddy/skills/maitaiyi 第四步:把脉 在 WorkBuddy 对话框里说: 麦太医,给我把",
"repository": "https://github.com/XRayLau1/maitaiyi"
},
"deployment": {
"model": "both",
"both_offered": false,
"hosted_endpoint": null,
"install": "git clone < 本仓库地址 > ~ /.workbuddy/skills/maitaiyi 第四步:把脉 在 WorkBuddy 对话框里说: 麦太医,给我把",
"note": "Offered both ways: a vendor-hosted endpoint AND a self-run install are documented.",
"evidence": {
"sources": [
"page_text:hosted",
"page_text:install",
"page_text:licence"
],
"excerpt": "侧【专家·技能·连接器】→【连接器】→【自定义连接器】→【配置 MCP】,填入: { \"mcpServers\" : { \"mcd-mcp\" : { \"type\" : \" streamablehttp \" , \"url\" : \" https://mcp.mcd.cn \" , \"headers\" : { \"Authorization\" : \"",
"url": "https://github.com/XRayLau1/maitaiyi",
"observed_day": "2026-11-03",
"age_days": 2,
"hosted_evidence": "wording: \"streamablehttp\"",
"rule": "deploy-v1"
}
},
"licence": {
"name": "MIT",
"note": "Named licence as published; applies to the code, not to where it runs.",
"evidence": "page text: \"餐品信息、价格及供应状态以麦当劳官方渠道的实时结果为准。 📄 License MIT License © 2026 参赛者 测完记得回来说一声,你是哪种体质\"",
"observed_day": "2026-11-03",
"age_days": 2
},
"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": 379,
"uptime_7d": 1,
"checked_at": "2026-11-04T02:40:10.596Z",
"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."
}