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kdpcheck

by com.edgethirteen.www
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Server Details

Scan manuscript text for AI-slop prose patterns before publishing to Amazon KDP.

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Status
Unhealthy
Uptime
31.9% over 37 days
Last Tested
Transport
Streamable HTTP
URL

TDQS

A4.1/5.0

Scored across 1 tool

Disambiguation5/5

Only one tool exists, so there is zero ambiguity about which tool to use. The tool's purpose is clearly described and self-contained.

Naming Consistency5/5

The single tool name follows a clear verb_noun_with_purpose pattern ('check_manuscript_for_ai_slop_patterns'), and with only one tool there are no naming inconsistencies to evaluate.

Tool Count3/5

The server has only one tool, which feels thin for a general-purpose MCP server. However, the tool is narrowly scoped to manuscript analysis, so it may be appropriate for a dedicated single-purpose server, but it borders on being too sparse.

Completeness3/5

The tool provides a high-level score and a single severe flag, but the full breakdown and fix guidance are external (paid report). This leaves an obvious gap for agents that need detailed feedback. Additionally, there are no supplementary tools for related operations (e.g., getting full flags, generating suggestions), so the surface is limited.

Tool Schema Changelog

Recent tool additions, removals, and schema changes observed during successful MCP inspections.

  1. 1 tool update
    • First observedcheck_manuscript_for_ai_slop_patterns

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    Scores prose from inline text or files on a 0–100 scale for formulaic AI writing patterns using rule-based heuristics, with no LLM judge or API calls. Returns band labels, specific violations with context, penalty breakdowns, and concrete advice for each hit, so agents can flag and revise sloppy generated text.
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  • slop-guard

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    Enables agents to analyze inline prose or files on disk for formulaic AI writing patterns, returning a 0-100 score, band label, specific violations with context, and concrete advice. Uses purely programmatic, configurable rules with no LLM judge or API calls.
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  • slop-guard

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    Analyzes text and files for formulaic AI writing patterns, returning a 0-100 score, band label, specific violations with context, and concrete revision advice. Runs entirely locally with rule-based heuristics, requiring no LLM judge or API calls.
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