LinkedIn Engagement Scorer

LinkedIn Engagement Scorer MCP Connector for Claude

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Quantify the effectiveness of LinkedIn post Call-to-Actions (CT0As) and engagement triggers in text.

2 tools Official Updated Oct 1, 2026 Official Vinkius Partner

This MCP server provides a deterministic engine to evaluate LinkedIn posts for engagement potential. Using tools like evaluate_linkedin_engagement and evaluate_scroll_stopper, users can analyze text content for CTA markers, punctuation diversity, and sentence rhythm to determine stopping power and engagement probability. It acts as a bridge between your LinkedIn strategy and AI-driven analysis via Vinkius Edge.

linkedinengagementctamarketing-automationcontent-strategy

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

evaluate_linkedin_engagement

Evaluate the engagement potential of a LinkedIn post

evaluate_scroll_stopper

Evaluate if a text acts as a "scroll stopper"

See how to talk to your AI agent using LinkedIn Engagement Scorer.

Analyze this LinkedIn post: "Are you tired of low engagement? Click here to learn more! #marketing"

The post contains a clear CTA ("Click here") and has an engagement score of 75/100.

Is this text a good scroll stopper? "Stop scrolling! This is the secret to LinkedIn growth..."

Yes, the punctuation diversity and rhythm in this snippet provide high stopping power.

Evaluate the engagement potential of: "Check out my new blog post on SEO strategies."

The engagement score is 45/100 due to a weak CTA marker.

The `evaluate_linkedin_engagement` tool analyzes your text for specific Call-to-Action (CTA) markers and evaluates punctuation diversity to predict how well a post will drive interaction.

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