# Medical MCP Server

> Use this tool when you need to integrate medical applications with iframes and parent websites, enabling seamless communication for medication management, allergy tracking, and other healthcare functions. It solves problems of fragmented healthcare data and limited interoperability between medical tools, providing a unified interface for healthcare services. The Medical MCP Server takes in PostMessage requests and outputs simulated medical data, ideal for use in telehealth platforms, electronic health records, and medical research applications.

Canonical page: https://skillsregistry.net/skills/sinduja98-sample-mcp-postmessage  
JSON: https://api.skillsregistry.net/v1/skills/sinduja98-sample-mcp-postmessage

## Description

A medical communication protocol server that enables PostMessage-based integration between iframes and parent applications, providing simulated medical tools for medication management, allergy tracking, and other healthcare functions.

## Trust

- **Trust score (0–1):** 0.59
- **Verification tier:** scanned
- **Last scanned:** 2026-09-19

## Facts

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

## Source

- **Source listing:** [Glama](https://glama.ai/mcp/servers/re8t7pcqnl)
- **Repository:** <https://github.com/Sinduja98/sample-mcp-postmessage>

## 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": "sinduja98-sample-mcp-postmessage"
    }
  }
}
```

REST: `GET https://api.skillsregistry.net/v1/skills/sinduja98-sample-mcp-postmessage` · pull for local use: `GET https://api.skillsregistry.net/v1/skills/sinduja98-sample-mcp-postmessage/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