# Healthcare MCP Server

> Use this tool when you need to access comprehensive healthcare data and research information to inform medical decisions or provide accurate health-related responses. The Healthcare MCP Server provides AI assistants with a unified interface to retrieve data from various sources, including FDA drug information, PubMed research, and medical terminology lookup. It solves problems related to healthcare information retrieval, clinical research, and medical knowledge integration, making it an ideal solution for healthcare-related chatbots, virtual assistants, and medical informatics applications.

Canonical page: https://skillsregistry.net/skills/cicatriiz-healthcare-mcp-public  
JSON: https://api.skillsregistry.net/v1/skills/cicatriiz-healthcare-mcp-public

## Description

A Model Context Protocol server providing AI assistants with access to healthcare data tools, including FDA drug information, PubMed research, health topics, clinical trials, and medical terminology lookup.

## Trust

- **Trust score (0–1):** 0.75
- **Verification tier:** verified
- **Last scanned:** 2026-09-28

## Facts

- **Version:** 1.0.0
- **Skill type:** atomic
- **Execution layer:** mcp-remote
- **Runtime environment:** api
- **Category:** search
- **Updated:** 2026-09-28

## Source

- **Source listing:** [Glama](https://glama.ai/mcp/servers/ou6gs72ui8)
- **Repository:** <https://github.com/Cicatriiz/healthcare-mcp-public>

## 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": "cicatriiz-healthcare-mcp-public"
    }
  }
}
```

REST: `GET https://api.skillsregistry.net/v1/skills/cicatriiz-healthcare-mcp-public` · pull for local use: `GET https://api.skillsregistry.net/v1/skills/cicatriiz-healthcare-mcp-public/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