# Patient-Engagement-MCP-Server-and-Client

> Patient-Engagement-MCP-Server-and-Client — nguyener-patient-engagement-mcp-server-and-client. Use this tool when you need to develop and deploy AI-powered healthcare applications that require secure and standardized communication between models and clients. It solves problems related to patient data privacy and model interoperability, providing a sample implementation of the Model Context Protocol (MCP) architecture. The tool accepts healthcare data as input and outputs predictive insights and personalized recommendations, ideal for use cases involving patient engagement and personalized medicine.

Canonical page: https://skillsregistry.net/skills/nguyener-patient-engagement-mcp-server-and-client  
JSON: https://api.skillsregistry.net/v1/skills/nguyener-patient-engagement-mcp-server-and-client

## Description

A sample healthcare-focused AI application demonstrating the Model Context Protocol (MCP) architecture.

## Trust

- **Trust score (0–1):** 0.91
- **Verification tier:** verified
- **Last scanned:** 2026-09-28

## Facts

- **Version:** 1.0.0
- **Skill type:** atomic
- **Execution layer:** container
- **Runtime environment:** vm
- **Updated:** 2026-09-28

## Source

- **Source listing:** [GitHub](https://github.com/nguyener/Patient-Engagement-MCP-Server-and-Client)

## Use it

Resolve this record through the SkillsRegistry MCP server (no auth, read-only):

```
claude mcp add --transport http --scope user skillsregistry https://api.skillsregistry.net/mcp
```

```json
{
  "jsonrpc": "2.0",
  "id": 1,
  "method": "tools/call",
  "params": {
    "name": "get_skill",
    "arguments": {
      "slug": "nguyener-patient-engagement-mcp-server-and-client"
    }
  }
}
```

REST: `GET https://api.skillsregistry.net/v1/skills/nguyener-patient-engagement-mcp-server-and-client` · pull for local use: `GET https://api.skillsregistry.net/v1/skills/nguyener-patient-engagement-mcp-server-and-client/pull`

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SkillsRegistry indexes agent skills from public registries and GitHub. Skills we have analysed are scanned with Circle-IR and scored on six dimensions; each listing states its scan coverage. More: https://skillsregistry.net/llms.txt