social_influencer_fake_follower_detector

Active

declared in 0.2.0

Analyzes up to 10 social media influencers for fake followers by checking engagement velocity patterns (Trends24) and RSS feed anomalies. Returns authenticity scores, follower growth spikes, and suspicious activity flags. Optimized for CMOs evaluating influencer partnerships. Includes keywords: influencer marketing, fake follower detection, engagement analysis, social media audit.

Parameters schema

{
  "type": "object",
  "required": [
    "influencerHandles",
    "platform"
  ],
  "properties": {
    "async": {
      "type": "boolean",
      "description": "If true, returns a job_id immediately (<200ms) instead of waiting for the result. Poll the result with job_result(job_id). Use for slow tools to avoid client timeouts."
    },
    "platform": {
      "enum": [
        "instagram",
        "twitter",
        "tiktok",
        "youtube"
      ],
      "type": "string",
      "description": "Social media platform of the influencers"
    },
    "influencerHandles": {
      "type": "array",
      "items": {
        "type": "string"
      },
      "maxItems": 10,
      "description": "Array of up to 10 social media handles (e.g., ['@influencer1', 'user2'])"
    }
  }
}

What this tool wraps· 0 endpoints

min confidence0.70 0.50

No endpoints wrapped at confidence ≥ 0.70.

Parent server

@gapup/mcp-knowledge

https://github.com/getgapup/gapup-mcp

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