# com.random-profiles/mcp

> Use this tool when you need to generate synthetic user data for testing, seeding databases, or demonstrating AI agents. It creates fake user profiles and companies, solving problems related to data anonymity and simulation. The tool takes minimal input and produces realistic, varied output, making it ideal for development, QA, and demo environments.

Canonical page: https://skillsregistry.net/skills/com-random-profiles-mcp  
JSON: https://api.skillsregistry.net/v1/skills/com-random-profiles-mcp

## Description

Generate fake user profiles and companies for tests, seed data, and AI agent demos.

## Trust

- **Trust score (0–1):** 0.94
- **Verification tier:** verified
- **Last scanned:** 2026-09-19

## Facts

- **Version:** 1.4.1
- **Skill type:** atomic
- **Execution layer:** mcp-remote
- **Runtime environment:** api
- **Category:** ai-ml
- **Updated:** 2026-09-19

## Source

- **Source listing:** [MCP Registry](https://registry.modelcontextprotocol.io/v0/servers/com.random-profiles%2Fmcp)
- **Repository:** <https://github.com/gusdeboer/random-profiles-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": "com-random-profiles-mcp"
    }
  }
}
```

REST: `GET https://api.skillsregistry.net/v1/skills/com-random-profiles-mcp` · pull for local use: `GET https://api.skillsregistry.net/v1/skills/com-random-profiles-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