slopcheck

Score a YouTube channel's upload pattern against YouTube's inauthentic-content policy.

Should I use this

Quality & Safety

A
Description quality
100%
Schema completeness
100%
Naming quality
100%
Poisoning risk
100%
Permission match
100%
Protocol compliance
100%

Based on automated analysis of tool definitions and protocol compliance.

Context Cost

~151Tokens (tool definitions)
~489 BTypical response size
Minimal attention impact (0.12% of 128k context)

This is the approximate number of tokens consumed each time the server's tools are loaded into a model's context. Higher counts reduce the attention available for other tasks.

Install

One-Click Install

Add this to your `claude_desktop_config.json` file:

{
  "mcpServers": {
    "slopcheck": {
      "url": "https://slopcheck-one.vercel.app/api/mcp"
    }
  }
}

Remote endpoints

https://slopcheck-one.vercel.app/api/mcpstreamable-http

What it can do

Tool inventory

Tools (1)

🟢 Read-only🟡 Write🔴 Delete⚪ Unknown
🟡check_channel_slop_risk(channel)

Score a YouTube channel's recent upload pattern (title/description repetition, upload-cadence regularity, AI-disclosure language) against YouTube's inauthentic-content / mass-production demonetization policy. Reads the channel's own real public RSS feed (last 15 uploads) -- grounded in actual upload history, not a guess. Accepts a handle (e.g. '@somechannel'), a channel URL, or a bare UC... channel ID.

Input Schema

{
  "type": "object",
  "properties": {
    "channel": {
      "type": "string",
      "description": "YouTube channel handle, URL, or channel ID, e.g. '@somechannel'"
    }
  },
  "required": [
    "channel"
  ]
}

Community

Rate this Server

Evidence

Recent observations

verifiedversion not recorded1 tools
verifiedversion not recorded1 tools