# marketing-page-quality-gate

> Use this tool when you need to optimize advertising budget by automatically evaluating landing page quality and blocking low-performing pages. It solves the problem of wasted ad spend by scoring pages based on conversion-critical signals, providing a deterministic score as output. By integrating this tool, you can prevent budget loss and improve overall marketing campaign efficiency.

Canonical page: https://skillsregistry.net/skills/marcindudekdev-marketing-page-quality-gate  
JSON: https://api.skillsregistry.net/v1/skills/marcindudekdev-marketing-page-quality-gate

## Description

An MCP server that deterministically scores landing pages on conversion-critical signals and blocks ad spend on low-quality pages to prevent wasted budget.

## Trust

- **Trust score (0–1):** 0.69
- **Verification tier:** scanned
- **Last scanned:** 2026-08-30

## Facts

- **Version:** 1.0.0
- **Skill type:** atomic
- **Execution layer:** mcp-remote
- **Runtime environment:** api
- **Category:** other
- **Updated:** 2026-08-30

## Source

- **Source listing:** [Glama](https://glama.ai/mcp/servers/bi8427fvps)
- **Repository:** <https://github.com/MarcinDudekDev/marketing-page-quality-gate>

## 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": "marcindudekdev-marketing-page-quality-gate"
    }
  }
}
```

REST: `GET https://api.skillsregistry.net/v1/skills/marcindudekdev-marketing-page-quality-gate` · pull for local use: `GET https://api.skillsregistry.net/v1/skills/marcindudekdev-marketing-page-quality-gate/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