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Aicare MCP

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AIcare 康护评估 MCP:舌诊等 AI 检测 → 健康评估 → 康护报告 → 康复指导书(健康评估与康护建议,非医学诊断)

Quick Install

Automated & IDE Setup

Copy the AI prompt to install this server into Claude Code, Cursor, or another agent — or use 1-click editor setup below.

One-click editor setup isn’t available for this listing yet — we don’t have a confirmed install command, and we’d rather show nothing than point your editor at the wrong package or host. Follow the project’s own setup instructions, linked above.

Manual Client & Custom JSON ConfigExpand JSON ▾
No confirmed setup config for this listing yet. We only publish a config block when the install details come from the project itself — its README, its docs, or a verified owner. We haven’t found those for aicare-mcp, and we’d rather show nothing than a guess you’d paste into your client. Follow the project’s own setup instructions for the current steps.
Install Directory Badge Claim listing Alternatives💻 More in Developer Tools

Documentation Overview

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。

MCP License


这是什么

AIcare MCP 把「AIcare 智护工作台」的核心能力开放为标准 MCP 工具,任何支持 MCP 的客户端 (Claude、ChatGPT、Cursor、OpenClaw/Gaia Agent 等)都可以直接调用:

工具作用说明
assess_health_image上传检测照片 → 结构化量表评估舌象 / 面色 / 步态 / 指甲 / 掌纹 / 脑龄 / 骨密度 / 卒中风险 …
run_health_survey提交问卷/量表 → 评估结果睡眠 / 呼吸 / 用药安全 / 居家照护 / 跌倒 / Braden 等
generate_care_plan患者档案 + 评估结果 → 康护分析报告含整体评估、风险分级、重点关注项
generate_rehab_guide生成康复指导书 / 阶段目标 / 周计划长任务,异步返回
get_patient_context查询关爱对象档案家属 / 康护师场景

⚕️ 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。

服务端点

Code
POST https://agent.avatargaia.top/api/mcp/aicare
Transport: streamable-http
Auth: Authorization: Bearer <API_KEY>

快速开始

1) Claude / 支持远程 MCP 的客户端

config.json
{
  "mcpServers": {
    "aicare": {
      "type": "streamable-http",
      "url": "https://agent.avatargaia.top/api/mcp/aicare",
      "headers": { "Authorization": "Bearer ${AICARE_API_KEY}" }
    }
  }
}

2) curl(直接调工具)

Terminal
curl -X POST https://agent.avatargaia.top/api/mcp/aicare \
  -H "Authorization: Bearer $AICARE_API_KEY" \
  -H "Content-Type: application/json" \
  -d '{
    "jsonrpc": "2.0", "id": 1, "method": "tools/call",
    "params": {
      "name": "assess_health_image",
      "arguments": { "type": "tongue", "image_url": "https://example.com/tongue.jpg" }
    }
  }'

3) Python

server.ts
import requests, os
r = requests.post(
    "https://agent.avatargaia.top/api/mcp/aicare",
    headers={"Authorization": f"Bearer {os.environ['AICARE_API_KEY']}"},
    json={"jsonrpc": "2.0", "id": 1, "method": "tools/list"},
)
print(r.json())

获取 API Key

联系 octopus@arplus.top 开通(提供机构名称与使用场景)。

典型用法

Code
用户:帮我看看这张舌象照片,然后给我妈出一份康护方案
Agent:① assess_health_image(type="tongue", image_url=...) → 量表评估
       ② generate_care_plan(target_id=..., assessments=[...]) → 康护报告
       ③ generate_rehab_guide(plan_id=...) → 康复指导书(长任务)

相关仓库 / 链接

  • 官网:https://agent.avatargaia.top
  • 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

Read the full README →View source on GitHub →

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Frequently Asked Questions about Aicare MCP

We don't have a confirmed install command for aicare-mcp yet, so we don't publish a generated one — a guessed package name would point at the wrong package or none at all. Follow the project's own README or setup instructions (https://github.com/AvatarGaia/aicare-mcp) for the current steps.

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Technical Specs & Signals

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Last updatedSep 28, 2026
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25Quality signal: Emerging · 25/100How this signal is calculated ▾
Server availabilityNot measured

Not scored for repo-hosted servers — we can't reach the running server, only its GitHub page. Hosted MCP endpoints are health-checked live.

Verified ownership8/20
Documentation & tools10/30
Adoption & activity1/15
Community engagement0/10

A guidance signal from public completeness & health data — not a user rating. New listings start lower and rise as they add docs, get verified, and grow adoption. Signals we can't observe for a listing are skipped, not counted against it.

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