# mcp-pii-guard-au

> Use this tool when you need to detect and sanitize personally identifiable information (PII) in Australian and New Zealand contexts, such as Tax File Numbers (TFN) and Medicare numbers, to ensure data privacy and compliance. It takes in text data as input and outputs sanitized text with sensitive information removed or redacted. Ideal for use cases where AI agents process sensitive Australian and New Zealand citizen data, requiring PII protection and anonymization.

Canonical page: https://skillsregistry.net/skills/mattwagstaff-mcp-pii-guard-au  
JSON: https://api.skillsregistry.net/v1/skills/mattwagstaff-mcp-pii-guard-au

## Description

Australian and New Zealand PII detection and sanitisation for AI agents, using Microsoft Presidio with custom recognizers for TFN, Medicare, ABN, and more.

## Trust

- **Trust score (0–1):** 0.70
- **Verification tier:** verified
- **Last scanned:** 2026-09-01

## Facts

- **Version:** 1.0.0
- **Skill type:** atomic
- **Execution layer:** mcp-remote
- **Runtime environment:** api
- **Category:** ai-ml
- **Updated:** 2026-09-01

## Source

- **Source listing:** [Glama](https://glama.ai/mcp/servers/e4y7y4t9n6)
- **Repository:** <https://github.com/mattwagstaff/mcp-pii-guard-au>

## 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": "mattwagstaff-mcp-pii-guard-au"
    }
  }
}
```

REST: `GET https://api.skillsregistry.net/v1/skills/mattwagstaff-mcp-pii-guard-au` · pull for local use: `GET https://api.skillsregistry.net/v1/skills/mattwagstaff-mcp-pii-guard-au/pull`

---
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