# users-mcp

> Use this tool when you need to manage user data, perform CRUD operations, or generate random user information for testing purposes. It solves problems related to user data storage and simulation, providing a simple interface for inputting and outputting user data in JSON format. It is ideal for development, testing, and demonstration contexts where mock user data is required.

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

## Description

A user management MCP server that enables CRUD operations on users stored in a JSON file, with random user generation using Faker.

## Trust

- **Trust score (0–1):** 0.70
- **Verification tier:** verified
- **Last scanned:** 2026-09-03

## Facts

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

## Source

- **Source listing:** [Glama](https://glama.ai/mcp/servers/qraeago5z5)
- **Repository:** <https://github.com/stormdotcom/mcp-server>

## 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": "stormdotcom-mcp-server"
    }
  }
}
```

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