# mcp-server-conceal

> Use this tool when you need to protect sensitive user data from external AI providers, as it pseudo-anonymizes personally identifiable information (PII) in real-time. The mcp-server-conceal proxy takes in user data as input, conceals PII, and outputs anonymized data to external AI services like Claude, ChatGPT, or Gemini. Ideal for use cases where data privacy and security are paramount, such as in healthcare, finance, or government applications.

Canonical page: https://skillsregistry.net/skills/gbrigandi-mcp-server-conceal  
JSON: https://api.skillsregistry.net/v1/skills/gbrigandi-mcp-server-conceal

## Description

An MCP proxy that pseudo-anonymizes PII before data reaches external AI providers like Claude, ChatGPT, or Gemini.

## Trust

- **Trust score (0–1):** 0.38
- **Verification tier:** scanned
- **Last scanned:** 2026-09-02

## Facts

- **Version:** 1.0.0
- **Skill type:** atomic
- **Execution layer:** mcp-remote
- **Runtime environment:** api
- **Category:** other
- **Updated:** 2026-09-02

## Source

- **Source listing:** [Glama](https://glama.ai/mcp/servers/igntwhjvjo)
- **Repository:** <https://github.com/gbrigandi/mcp-server-conceal>

## 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": "gbrigandi-mcp-server-conceal"
    }
  }
}
```

REST: `GET https://api.skillsregistry.net/v1/skills/gbrigandi-mcp-server-conceal` · pull for local use: `GET https://api.skillsregistry.net/v1/skills/gbrigandi-mcp-server-conceal/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