# Intelligent Medical Assistant

> Use this tool when you need to analyze patient data and respond to natural language medical queries. It solves problems related to patient biometric tracking, data analysis, and medical inquiry resolution, providing automated insights and outputs through its web application interface. This tool is ideal for healthcare professionals seeking to streamline patient data management and improve medical decision-making.

Canonical page: https://skillsregistry.net/skills/sp2learn-medical-mcp-server  
JSON: https://api.skillsregistry.net/v1/skills/sp2learn-medical-mcp-server

## Description

An MCP server and web application that enables natural language medical queries and patient data analysis powered by Gemini AI. It allows users to track and analyze patient biometrics, including vitals, sleep patterns, and laboratory results, through a comprehensive set of automated medical tools.

## Trust

- **Trust score (0–1):** 0.86
- **Verification tier:** scanned
- **Last scanned:** 2026-09-19

## Facts

- **Version:** 1.0.0
- **Skill type:** atomic
- **Execution layer:** mcp-remote
- **Runtime environment:** api
- **Category:** monitoring
- **Updated:** 2026-09-19

## Source

- **Source listing:** [Glama](https://glama.ai/mcp/servers/krn2ldomfk)
- **Repository:** <https://github.com/sp2learn/medical-mcp-server>

## 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": "sp2learn-medical-mcp-server"
    }
  }
}
```

REST: `GET https://api.skillsregistry.net/v1/skills/sp2learn-medical-mcp-server` · pull for local use: `GET https://api.skillsregistry.net/v1/skills/sp2learn-medical-mcp-server/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
