# anonymize-mcp

> Use this tool when you need to protect sensitive personal information and comply with GDPR regulations by anonymizing PII and redacting text. It solves problems related to data privacy and security by utilizing advanced NLP techniques to identify and mask sensitive information across 35+ languages. The tool takes in text data and outputs anonymized text, making it ideal for use cases involving multilingual data processing and compliance with data protection laws.

Canonical page: https://skillsregistry.net/skills/buggy1111-anonymize-mcp  
JSON: https://api.skillsregistry.net/v1/skills/buggy1111-anonymize-mcp

## Description

Anonymize PII and redact text for GDPR using real NLP, not just regex. Czech-first, built on ÚFAL/LINDAT (MasKIT + NameTag NER) with 80+ PII patterns. Also multilingual NER across 35+ languages, morphology (UDPipe), machine translation, and spellcheck. 6 tools. Non-commercial use only. Install: pip install anonymize-mcp

## Trust

- **Trust score (0–1):** 0.61
- **Verification tier:** scanned
- **Last scanned:** 2026-09-03

## Facts

- **Version:** 1.0.0
- **Skill type:** atomic
- **Execution layer:** mcp-remote
- **Runtime environment:** api
- **Category:** other
- **Updated:** 2026-09-03

## Source

- **Source listing:** [Glama](https://glama.ai/mcp/servers/cc9ko9fm0i)
- **Repository:** <https://github.com/Buggy1111/anonymize-mcp>

## 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": "buggy1111-anonymize-mcp"
    }
  }
}
```

REST: `GET https://api.skillsregistry.net/v1/skills/buggy1111-anonymize-mcp` · pull for local use: `GET https://api.skillsregistry.net/v1/skills/buggy1111-anonymize-mcp/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