AI Slop Checker

Deterministic offline scorer for AI-writing tells in text and landing copy.

Connector by parweb · GitHub account verified by the MCP Registry

IndexedMITLocal (stdio)

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Deterministic offline scorer for AI-writing tells in text and landing copy.

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Permissions

What this server can do and what it asks for, from its tool list and install config. Checked Oct 25, 2026.

Tools: 3 read · 0 write · 0 deleteRead-only
Secrets: None asked for
Install scripts: Not scanned yet
Runs as: Downloaded binary

Tools by what they do 3

Read from the source code; the running server may list different tools.

Read 3 · Look things up without changing anything.

check_ai_slop
get_slop_stats
grade_landing_copy

Network hosts it talks to 1

github.com · found in install command

Tools (3)

Read from the source code; the running server may differ. Descriptions are the server’s own words; hidden characters are shown as [U+…].

check_ai_slopCheck text for AI-writing style tells
Score any prose 0-100 on how human it reads (100 = reads human) by counting six families of style tells: LLM word/phrase density, em-dash density, formulaic structures, sentence-length uniformity, lack of specifics, and over-perfect bullet lists. Returns the score, a verdict, per-dimension sub-scores with the raw counts that produced them, and up to 6 concrete fixes. Fully deterministic and local: no LLM call, no network, same input always gives the same number. This measures STYLE, not authorship — it is a tells counter, not an AI detector.
get_slop_statsBenchmark stats from 239 real landing pages
Return the reference distribution for grade_landing_copy: 239 real landing pages (min 41, median 79, mean 80.1, 19 perfect scores), how often each tell fires across them, the 10 lowest-scoring domains, and the score distribution. Use it to tell a user whether their score is actually good. Static local data, no network.
grade_landing_copyGrade landing-page hero copy
Score a landing-page hero (headline + sub-headline + call-to-action button) 0-100 across five weighted dimensions: Anti-hype (25), Specificity (25), Clarity (25), Headline shape (13), CTA (12). Returns the score, a verdict, per-dimension sub-scores with raw counts, short flags, and up to 6 targeted rewrites. Deterministic, no LLM, no network. This is the same engine used to score the public 239-page dataset exposed by get_slop_stats, so scores are directly comparable to real landing pages.

Signals

Stars: 0
Forks: 0
Open issues: 0
Last commit: Jul 25, 2026 (3 months ago)
Last release: Jul 25, 2026 (3 months ago)

From GitHub (fetched Oct 24, 2026).

Details

Registry name: io.github.parweb/ai-slop-checker
Version: 1.0.2
Auth: No auth
Packages: mcpb https://github.com/parweb/mcp-ai-slop-checker/releases/download/v1.0.2/mcp-ai-slop-checker.mcpb
License: MIT
Repository: github.com/parweb/mcp-ai-slop-checker
Website: github.com/parweb/mcp-ai-slop-checker
First seen: Oct 24, 2026
Last checked: Oct 24, 2026
Source: Official MCP Registry github-graphql

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Cite this page

AI Slop Checker MCP server. Agent Mart. https://agentmart.dev/connectors/parweb-ai-slop-checker (last updated 2026-10-24)