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mcp-ai-slop-checker

by parweb
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    • eval-mcp-server

      christianmacion
      A
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      quality
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      Exposes a deterministic AI-slop scanner and RAG grounding grader as MCP Tools, Resource, and Prompt, enabling any MCP client to evaluate text quality and context faithfulness.
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    • slop-guard

      Harold97774
      F
      license
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      quality
      A
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      Enables agents to analyze text or files for formulaic AI writing patterns and receive numeric scores, band labels, contextual violations, and concrete advice. It offers programmatic prose linting via MCP tools without using an LLM judge or external API calls.
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    • slop-guard

      engstrom81787
      F
      license
      Not graded
      quality
      A
      maintenance
      Enables agents to analyze prose for formulaic AI writing patterns and return scores, band labels, violations, and improvement advice. Supports checking inline text or files through MCP tools without external LLM or API calls.
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    • slop-guard

      utyurin9467
      F
      license
      Not graded
      quality
      A
      maintenance
      Enables agents to score prose from 0–100 for formulaic AI writing patterns and retrieve specific violations with contextual advice. Supports analysis of text strings or files through MCP tools without LLM judges or API calls.
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    • slop-guard

      Sofia89471
      F
      license
      Not graded
      quality
      A
      maintenance
      Enables agents to lint prose for formulaic AI writing patterns through the check_slop and check_slop_file tools, returning a 0–100 score, band label, specific violations with context, and concrete revision advice. Scoring is purely rule-based with no LLM judge or API calls, and custom rule configurations can be supplied.
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    • slop-guard

      Prawit65
      F
      license
      Not graded
      quality
      A
      maintenance
      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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    Deploy Server
    One endpoint for every MCP toolRayrun runs every MCP server behind one URL and holds the credentials. Each call is decided per client, tool, and argument, then recorded.ray.runAd

    TDQS

    A4.6/5.0

    Scored across 3 tools

    Disambiguation5/5

    Each tool has a clearly distinct purpose: check_ai_slop for general prose, grade_landing_copy for landing page copy, and get_slop_stats for reference data. No overlap in functionality.

    Naming Consistency5/5

    All tools follow a consistent verb_noun pattern using snake_case: check_ai_slop, grade_landing_copy, get_slop_stats. No mixing of conventions.

    Tool Count5/5

    Three tools is appropriate for the server's narrow domain. Each tool serves a core function without redundancy, and the count is within the well-scoped range.

    Completeness4/5

    The set covers the primary tasks (slop checking for general and landing pages, plus stats) but lacks tools for other content types or advanced analysis, a minor gap.

    Maintenance

    ActivityInactive
    ResponsivenessNo issues

    Resources