Ai Doctor Api Ai Medical Chatbot Healthcare Ai Assistant MCP Server
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., "@Ai Doctor Api Ai Medical Chatbot Healthcare Ai Assistant MCP Server What are the common symptoms of a brain tumor?"
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.
Ai Doctor Api Ai Medical Chatbot Healthcare Ai Assistant MCP Server
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快速开始:
🌐 访问 EMCP 平台
📝 注册并登录账号
🎯 进入 MCP 广场,浏览所有可用的 MCP 服务器
🔍 搜索或找到本服务器(
bach-ai_doctor_api_ai_medical_chatbot_healthcare_ai_assistant)🎉 点击 "安装 MCP" 按钮
✅ 完成!即可在您的应用中使用
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Related MCP server: MedX MCP Server
简介
这是一个 MCP 服务器,用于访问 Ai Doctor Api Ai Medical Chatbot Healthcare Ai Assistant API。
PyPI 包名:
bach-ai_doctor_api_ai_medical_chatbot_healthcare_ai_assistant版本: 2.0.0
传输协议: stdio
安装
从 PyPI 安装:
pip install bach-ai_doctor_api_ai_medical_chatbot_healthcare_ai_assistant从源码安装:
pip install -e .运行
方式 1: 使用 uvx(推荐,无需安装)
# 运行(uvx 会自动安装并运行)
uvx --from bach-ai_doctor_api_ai_medical_chatbot_healthcare_ai_assistant bach_ai_doctor_api_ai_medical_chatbot_healthcare_ai_assistant
# 或指定版本
uvx --from bach-ai_doctor_api_ai_medical_chatbot_healthcare_ai_assistant@latest bach_ai_doctor_api_ai_medical_chatbot_healthcare_ai_assistant方式 2: 直接运行(开发模式)
python server.py方式 3: 安装后作为命令运行
# 安装
pip install bach-ai_doctor_api_ai_medical_chatbot_healthcare_ai_assistant
# 运行(命令名使用下划线)
bach_ai_doctor_api_ai_medical_chatbot_healthcare_ai_assistant配置
API 认证
此 API 需要认证。请设置环境变量:
export API_KEY="your_api_key_here"环境变量
变量名 | 说明 | 必需 |
| API 密钥 | 是 |
| 不适用 | 否 |
| 不适用 | 否 |
在 Claude Desktop 中使用
编辑 Claude Desktop 配置文件 claude_desktop_config.json:
{
"mcpServers": {
"ai_doctor_api_ai_medical_chatbot_healthcare_ai_assistant": {
"command": "uvx",
"args": ["--from", "bach-ai_doctor_api_ai_medical_chatbot_healthcare_ai_assistant", "bach_ai_doctor_api_ai_medical_chatbot_healthcare_ai_assistant"],
"env": {
"API_KEY": "your_api_key_here"
}
}
}
}注意: 请将 E:\path\to\ai_doctor_api_ai_medical_chatbot_healthcare_ai_assistant\server.py 替换为实际的服务器文件路径。
可用工具
此服务器提供以下工具:
neurosurgery
Neurosurgery
端点: POST /chat
参数:
noqueue(string): Example value: 1
技术栈
传输协议: stdio
HTTP 客户端: httpx
开发
此服务器由 API-to-MCP 工具自动生成。
版本: 2.0.0
Available Tools
1 toolneurosurgeryD
Neurosurgery
Inputs: noqueue.
Tool Schema Changelog
Recent tool additions, removals, and schema changes observed during successful MCP inspections.
Loading tool schema changelog…
TDQS
Scored across 1 tool
With only one tool, there is no possibility of confusion between tools. The single tool 'neurosurgery' has a distinct purpose, even if vaguely described.
With a single tool, naming consistency is trivial. However, the name 'neurosurgery' is a noun rather than a verb_noun pattern, which is slightly atypical but not inconsistent.
The server name implies a broad healthcare AI assistant, but it offers only one tool. This is a severe mismatch; the tool count is far too low for the claimed domain.
The tool surface is severely incomplete. A healthcare AI assistant would need many more capabilities (e.g., general diagnosis, symptom checking, other specialties). Covering only neurosurgery leaves obvious gaps.
Maintenance
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