MCP server for the Chief Editor AI slop detector. Analyses text for AI-generated writing patterns and returns three scored dimensions — sloppiness, originality, and hype — with per-pattern annotations.
Analyse text for AI-generated writing patterns. Returns:
- sloppiness (0–1): structural LLM tells, filler phrases, robotic pacing, punctuation overuse →
clean/sloppy/ai_slop - originality (0–1): cliché density relative to word count →
original/bland/generic - hype (0–1): superlative/intensifier density →
grounded/salesy/overblown - flags: per-pattern detections with positions, matched text, rule IDs, and reasons
- meta: pacing, em-dash density, semicolon density, superlative density, cliché density labels
Get the cost to analyse a text before paying. Free, no authentication required.
| Tier | Words | Price |
|---|---|---|
| small | 0–100 | $0.02 |
| medium | 101–500 | $0.04 |
| large | 501–2000 | $0.08 |
Add to your claude_desktop_config.json:
{
"mcpServers": {
"chief-editor": {
"command": "npx",
"args": ["-y", "chief-editor-mcp"],
"env": {
"CHIEF_EDITOR_API_KEY": "your-api-key"
}
}
}
}claude mcp add chief-editor -- npx -y chief-editor-mcp| Variable | Default | Description |
|---|---|---|
CHIEF_EDITOR_API_KEY |
— | API key (bypasses x402 payment) |
CHIEF_EDITOR_URL |
https://api.reviewsandnotes.com |
API base URL |
Full OpenAPI spec: https://api.reviewsandnotes.com/openapi.yaml
Machine-readable description: https://api.reviewsandnotes.com/.well-known/llms.txt
MIT