# corrupt-cli

> corrupt-cli — corruptfun-corrupt-mcp. Use this tool when you need to generate production-ready web architectures for inventory sites, SaaS platforms, or custom verticals. It solves problems related to scaffolding and deploying web applications by providing a streamlined process for creating white-labeled solutions with Next.js, Supabase, and edge functions. The corrupt-cli tool takes in vertical packs and blueprints as input and outputs fully provisioned web architectures, making it ideal for use cases that require rapid deployment and customization.

Canonical page: https://skillsregistry.net/skills/corruptfun-corrupt-mcp  
JSON: https://api.skillsregistry.net/v1/skills/corruptfun-corrupt-mcp

## Description

Generates production-ready, white-labeled web architectures (Next.js + Supabase or static) from vertical packs and blueprints. Enables AI agents to scaffold inventory sites, SaaS platforms, and custom verticals, including Supabase provisioning, edge functions, and deployment.

## Trust

- **Trust score (0–1):** 0.52
- **Verification tier:** scanned
- **Last scanned:** 2026-08-29

## Facts

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

## Source

- **Source listing:** [Glama](https://glama.ai/mcp/servers/k6fy57hr3g)
- **Repository:** <https://github.com/CorruptFun/corrupt-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": "corruptfun-corrupt-mcp"
    }
  }
}
```

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