# mcpanonimohealth

> mcpanonimohealth — alexandreumatize-mcpanonimohealth. Use this tool when you need to de-identify sensitive health documents, such as prescriptions and medical reports, to protect patient privacy. It takes in various document formats, including images and PDFs, and outputs de-identified text after automated policy checks. Ideal for use cases requiring HIPAA compliance, such as medical research or clinical decision support, where sensitive information must be anonymized before analysis or processing.

Canonical page: https://skillsregistry.net/skills/alexandreumatize-mcpanonimohealth  
JSON: https://api.skillsregistry.net/v1/skills/alexandreumatize-mcpanonimohealth

## Description

MCP server that locally de-identifies health documents, such as prescriptions, reports, images, and PDFs, before use with Codex or Claude Code. It runs OCR and identifier detection on-device and only returns de-identified text to the agent when the automated policy check results in PASS.

## Trust

- **Trust score (0–1):** 0.67
- **Verification tier:** scanned
- **Last scanned:** 2026-08-28

## Facts

- **Version:** 1.0.0
- **Skill type:** atomic
- **Execution layer:** mcp-remote
- **Runtime environment:** api
- **Category:** media
- **Updated:** 2026-08-28

## Source

- **Source listing:** [Glama](https://glama.ai/mcp/servers/q30ake7bdc)
- **Repository:** <https://github.com/alexandreumatize/mcpanonimohealth>

## 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": "alexandreumatize-mcpanonimohealth"
    }
  }
}
```

REST: `GET https://api.skillsregistry.net/v1/skills/alexandreumatize-mcpanonimohealth` · pull for local use: `GET https://api.skillsregistry.net/v1/skills/alexandreumatize-mcpanonimohealth/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