Slop or Not
On-device tools to detect AI-generated text and images, score readability, and strip AI artifacts, running locally on Apple silicon.
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Overview
The Slop or Not MCP server lets Claude, Codex, Hermes Agent, OpenClaw, Cursor, and other agents call a local AI text detector, AI image detector, readability analyzer, and cleanup tool on your Mac. Point your MCP client at the bundled slop mcp command. With Pro, Claude, Codex, Hermes Agent, OpenClaw, Cursor, and other agents can keep running local checks without per-call API metering. Client setup snippets point at the bundled Mac app binary. Your MCP client starts the bundled slop binary and talks to it over stdio.
Installation
/Applications/Slop Or Not.app/Contents/MacOS/slop mcp
Configuration
{
"mcpServers": {
"SlopOrNot": {
"command": "/Applications/Slop Or Not.app/Contents/MacOS/slop",
"args": [
"mcp"
]
}
}
}Capabilities
- Check app and Pro status
Ask your assistant to run `slop_status` to confirm the app is installed, the binary runs, and Pro is active before starting a workflow.
- Detect AI-written text
Use `detect_text` to score a passage with the on-device model, returning a verdict, score, language, and readability metrics.
- Analyze reading level
Call `analyze_readability` to compute Flesch reading ease and grade-level scores without running AI detection.
- Clean text artifacts
Use `clean_text` to strip zero-width characters, homoglyphs, and fancy punctuation before a detection pass.
- Detect AI-generated images
Run `detect_image` on JPEG, PNG, HEIC, or WebP bytes to check C2PA/IPTC provenance with an on-device model fallback.
- Get raw image score
Call `score_image` to return the raw image-model slop score without the full provenance-aware response.
Tags
- ai-model
- content-creation
- productivity
- macos
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