# mcp-ai-slop-checker

> mcp-ai-slop-checker — parweb-mcp-ai-slop-checker. Use this tool when you need to detect AI-generated content and evaluate the quality of landing-page copy. It analyzes text for characteristics like em-dash density, hedge words, and boilerplate openers, providing a score that indicates the likelihood of AI writing. Ideal for applications requiring deterministic and offline content evaluation, with a simple text input and a scored output.

Canonical page: https://skillsregistry.net/skills/parweb-mcp-ai-slop-checker  
JSON: https://api.skillsregistry.net/v1/skills/parweb-mcp-ai-slop-checker

## Description

Three deterministic MCP tools that score text for AI-writing tells (em-dash density, hedge words, tricolons, boilerplate openers) and grade landing-page copy. No LLM, no network calls, no API key — same input always yields the same score. Published on the official MCP registry as io.github.parweb/ai-slop-checker.

## 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:** version-control
- **Updated:** 2026-08-29

## Source

- **Source listing:** [Glama](https://glama.ai/mcp/servers/pfo8rhisgv)
- **Repository:** <https://github.com/parweb/mcp-ai-slop-checker>

## 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": "parweb-mcp-ai-slop-checker"
    }
  }
}
```

REST: `GET https://api.skillsregistry.net/v1/skills/parweb-mcp-ai-slop-checker` · pull for local use: `GET https://api.skillsregistry.net/v1/skills/parweb-mcp-ai-slop-checker/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