How can I check if my tweet is at risk of being flagged?

You can use the `computeShadowbanScore` tool to analyze your text and see the calculated risk level. Tools available: `your_tool_name`.

What defines a mention cluster?

The `calculateClusteringRisk` tool flags any instance where three or more @-mentions appear within a 20-character window.

Does it detect spam patterns at the start of a tweet?

Yes, `evaluateTweetStructure` specifically checks if a post begins with four or more consecutive mentions.

Twitter Mention Spam and Cluster Checker MCP Connector for Claude

Detects @-mention clustering and structural spam patterns to prevent shadowbans.

0 tools Official Updated Oct 1, 2026 Official Vinkius Partner

More Details Connect to Claude

This MCP server provides a suite of diagnostic tools for analyzing tweet structures. Use evaluateTweetStructure to identify pattern violations like excessive leading mentions, calculateClusteringRisk to detect high-density mention groups, computeShadowbanScore to assess overall risk based on mention-to-text ratios, and validateHashtagMentionSpacing to ensure proper separation between hashtags and mentions.

Available Tools

your_tool_name

twitterspam-detectionshadowbananalyticssocial-mediasafety

Connect to Claude

Subscribe on Vinkius, then add this connector to Claude.ai or Claude Code.

① Claude.ai (web app)

Go to Settings → Connectors → Add custom connector
Paste the MCP endpoint URL below

https://edge.vinkius.com/vk_preview_IzGBypOCsDxCL2I3MfmhSihP9joOWrhi9fmGNM2d/mcp

② Claude Code (terminal)

claude mcp add --transport http twitter-mention-spam-and-cluster-checker https://edge.vinkius.com/vk_preview_IzGBypOCsDxCL2I3MfmhSihP9joOWrhi9fmGNM2d/mcp

③ Claude Desktop

Add to claude_desktop_config.json:

{
  "mcpServers": {
    "twitter-mention-spam-and-cluster-checker": {
      "url": "https://edge.vinkius.com/vk_preview_IzGBypOCsDxCL2I3MfmhSihP9joOWrhi9fmGNM2d/mcp"
    }
  }
}

Get full access on Vinkius

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Details

Tools: 0
Grade: B
Score: 85/100
Updated: Oct 1, 2026

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