# data-sanitizer-mcp

> data-sanitizer-mcp — marilynceo-data-sanitizer-mcp. Use this tool when you need to clean and validate data for AI agents, solving problems like data inconsistency and PII exposure. It takes in JSON, CSV, emails, dates, and text as input, and outputs sanitized and normalized data, including phone numbers. Ideal for use cases where data quality is crucial, such as training AI models or processing user data.

Canonical page: https://skillsregistry.net/skills/marilynceo-data-sanitizer-mcp  
JSON: https://api.skillsregistry.net/v1/skills/marilynceo-data-sanitizer-mcp

## Description

Clean and validate data for AI agents. Sanitize JSON, CSV, emails, dates, text, detect PII, normalize phone numbers. Built for the AI agent economy.

## Trust

- **Trust score (0–1):** 0.30
- **Verification tier:** unverified
- **Last scanned:** 2026-09-01

## Facts

- **Version:** 1.0.0
- **Skill type:** atomic
- **Execution layer:** container
- **Runtime environment:** vm
- **Category:** communication
- **Updated:** 2026-09-21

## Source

- **Source listing:** [GitHub](https://github.com/marilynceo/data-sanitizer-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": "marilynceo-data-sanitizer-mcp"
    }
  }
}
```

REST: `GET https://api.skillsregistry.net/v1/skills/marilynceo-data-sanitizer-mcp` · pull for local use: `GET https://api.skillsregistry.net/v1/skills/marilynceo-data-sanitizer-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