AIcare MCP
Click on "Deploy Server".
Wait a few minutes for the server to deploy. Once ready, it will show a "Started" state.
In the chat, type
@followed by the MCP server name and your instructions, e.g., "@AIcare MCPAnalyze this tongue photo and generate a care plan for my mother"
That's it! The server will respond to your query, and you can continue using it as needed.
Here is a step-by-step guide with screenshots.
AIcare MCP
AI 康护评估 MCP Server — 让任何 AI Agent 用一句话完成「看检测图 → 出康护评估 → 生成康复方案」。 由 虚实科技 研发,面向康护机构、康复师、家庭照护场景。
这是什么
AIcare MCP 把「AIcare 智护工作台」的 AI 健康检测能力开放为标准 MCP 工具,任何支持 MCP 的客户端 (Claude、ChatGPT、Cursor、Cline、OpenClaw/Gaia Agent 等)都可以直接调用。
工具 | 作用 | 计费 |
| 列出支持的检测类型、哪些已开放、拍照/问卷要求。先调它 | 免费 |
| 提交照片 / 问卷 / 视频做一次 AI 健康检测,返回结构化报告 | 按次 |
|
| 免费 |
| 凭 | 免费 |
| 查某用户某类检测的历史报告,用于前后对比 | 免费 |
| 舌象分析(等价于 | 按次 |
| 舌诊历史(等价于 | 免费 |
检测类型覆盖舌象、面部、指甲、口腔、骨密度、中风风险、睡眠、居家照护、用药安全、步态等,实际开放哪些以 aicare_list_kinds 返回的 status=live 为准。
每次检测除结构化数据外,还返回 reportUrl(给人看的报告页)和 embedUrl(可 iframe 嵌入)。
⚕️ 合规声明:本服务提供健康评估与康护建议,不构成医学诊断或治疗方案。 所有输出需由专业人员复核。
Related MCP server: MedVision MCP
服务端点
POST https://agent.avatargaia.top/api/mcp/aicare
Transport: streamable-http
Auth: Authorization: Bearer <API_KEY> (或请求头 X-API-KEY: <API_KEY>)获取 API Key(自助,30 秒)
curl -X POST https://agent.avatargaia.top/api/dev/register \
-H "Content-Type: application/json" \
-d '{"name":"my-agent","email":"you@example.com"}'
# → 返回 dk_ 开头的 Key(只显示一次)+ 免费体验额度机构批量接入、私有化部署,联系 octopus@arplus.top。
快速开始
1) Claude / 支持远程 MCP 的客户端
{
"mcpServers": {
"aicare": {
"type": "streamable-http",
"url": "https://agent.avatargaia.top/api/mcp/aicare",
"headers": { "Authorization": "Bearer ${AICARE_API_KEY}" }
}
}
}2) 只支持 stdio 的客户端
用已发布的 stdio 马甲 @avatargaia/canvas-mcp,把地址指到 AICare 端点:
CANVAS_MCP_URL=https://agent.avatargaia.top/api/mcp/aicare \
CANVAS_MCP_TOKEN=dk_xxxxxxxx \
npx -y @avatargaia/canvas-mcp3) curl(直接调工具)
curl -X POST https://agent.avatargaia.top/api/mcp/aicare \
-H "Authorization: Bearer $AICARE_API_KEY" \
-H "Content-Type: application/json" \
-H "Accept: application/json, text/event-stream" \
-d '{
"jsonrpc": "2.0", "id": 1, "method": "tools/call",
"params": {
"name": "aicare_detect",
"arguments": { "kind": "tongue", "imageUrl": "https://example.com/tongue.jpg" }
}
}'4) Python
import requests, os
r = requests.post(
"https://agent.avatargaia.top/api/mcp/aicare",
headers={
"Authorization": f"Bearer {os.environ['AICARE_API_KEY']}",
"Accept": "application/json, text/event-stream",
},
json={"jsonrpc": "2.0", "id": 1, "method": "tools/list"},
)
print(r.text)典型用法
用户:帮我看看这张舌象照片
Agent:① aicare_list_kinds → 确认 tongue 已开放、拍照要求
② aicare_detect(kind="tongue", imageUrl=...) → 若返回 job_id
③ aicare_get_job(job_id) → 结构化报告 + reportUrl(发给用户打开看)相关仓库 / 链接
服务状态:
GET /api/health反馈:Issues
许可
本仓库内的文档与示例代码:MIT
MCP 服务本身:商业服务,需 API Key,详见 TERMS.md
虚实科技 · AvatarGaia · AIcare 智能康护
This server cannot be deployed
Maintenance
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