# mcp-mockdata

> mcp-mockdata — pipeworx-io-mcp-mockdata. Use this tool when you need to generate synthetic data for testing and development purposes, such as creating fake person records or placeholder text, to simulate real-world scenarios and validate application functionality. It takes minimal input and produces randomized, fictitious data as output, saving time and effort in setting up test environments. Ideal for use cases where realistic, yet fictional, data is required to train AI models, test software, or demonstrate applications.

Canonical page: https://skillsregistry.net/skills/pipeworx-io-mcp-mockdata  
JSON: https://api.skillsregistry.net/v1/skills/pipeworx-io-mcp-mockdata

## Description

Generates fake person records and lorem ipsum placeholder text for testing and development purposes.

## Trust

- **Trust score (0–1):** 0.70
- **Verification tier:** verified
- **Last scanned:** 2026-08-29

## Facts

- **Version:** 1.0.0
- **Skill type:** atomic
- **Execution layer:** mcp-remote
- **Runtime environment:** api
- **Category:** other
- **Updated:** 2026-08-29

## Source

- **Source listing:** [Glama](https://glama.ai/mcp/servers/jy45s980hp)
- **Repository:** <https://github.com/pipeworx-io/mcp-mockdata>

## 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": "pipeworx-io-mcp-mockdata"
    }
  }
}
```

REST: `GET https://api.skillsregistry.net/v1/skills/pipeworx-io-mcp-mockdata` · pull for local use: `GET https://api.skillsregistry.net/v1/skills/pipeworx-io-mcp-mockdata/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