Douyin Engagement Algorithm

Douyin Engagement Algorithm MCP Connector for Claude

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Calculate precise video engagement scores and viral potential for Douyin and TikTok content.

4 tools Official Updated Oct 1, 2026 Official Vinkius Partner

This MCP server provides deterministic tools to quantify video performance in the Douyin and TikTok ecosystems. It calculates a weighted engagement score normalized per 1,000 views, allowing for fair comparison across different video scales. Use calculate_engagement_score to determine raw quality, predict_viral_potential to find the growth tier, calculate_posting_adjustment to account for freshness decay, and estimate_view_multiplier to forecast future reach.

douyintiktokengagementanalyticsviral

4 tools expose this connector's capabilities to your AI agent.

calculate_engagement_score

Determine the raw engagement quality of a video relative to its reach

predict_viral_potential

Categorize a video's growth trajectory into a standardized index

estimate_view_multiplier

Forecast the potential reach of a video based on its current performance

calculate_posting_adjustment

Adjust the expected engagement based on the time elapsed since the video was posted

See how to talk to your AI agent using Douyin Engagement Algorithm.

Calculate the engagement score for a video with 5000 views, 80% completion rate, 200 likes, 50 comments, 30 shares, and 10 saves.

The calculated engagement score is 34.5 per 1,000 views.

What is the viral potential for a video with an engagement score of 85?

The video has a Viral Potential Index of 92 and is in the 'Explosive' growth tier.

Estimate the view multiplier for a video with 10,000 views and an engagement score of 40.

The predicted view multiplier is 5.2, suggesting significant growth potential.

The score is calculated using a weighted formula: (completion_rate × 0.4) + (shares × 0.3) + (saves × 0.15) + (comments × 0.1) + (likes × 0.05), all normalized per 1,000 views.

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