MCP For Claude Marketplace
Social Proof Strength Calculator

Social Proof Strength Calculator MCP Connector for Claude

A+

Quantify the reliability of testimonials and reviews using specificity and credibility analysis.

3 tools Official Updated Oct 1, 2026 Official Vinkius Partner
More Details Connect to Claude

The Social Proof Strength Calculator is an analytical engine designed to quantify the psychological impact and reliability of testimonials, reviews, and trust signals within marketing copy. By using tools like analyze_text_specificity and assess_credibility_markers, you can evaluate how much concrete detail is present in a piece of text compared to vague praise. The system also provides a calculate_social_proof_score based on engagement metrics, helping you identify high-authority social proof that drives conversions.

social-prooftestimonialscopywritingsentiment-analysistrust-signals

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

assess_credibility_markers

Assess credibility markers in metadata context

calculate_social_proof_score

Calculate social proof score from engagement metrics

analyze_text_specificity

Analyze text for specificity and vague terms

See how to talk to your AI agent using Social Proof Strength Calculator.

Analyze this review for specificity: 'I absolutely love this product, it is amazing and changed my life!'

Specificity Score: 10. Vague terms detected: ['absolutely', 'amazing', 'changed my life']. The text lacks concrete numbers or measurable outcomes.

Analyze this review for specificity: 'I saved $450 on my first order on January 12th, 2024.'

Specificity Score: 95. No vague terms detected. The text contains high-value identifiers including currency amounts and specific dates.

Check the credibility of this metadata: 'John Doe, Verified Purchase, Software Engineer'

Marker Count: 3. Has Verified Status: true. Identity Strength: Full Name.

The `analyze_text_specificity` tool scans your text for digits, dates, and proper nouns. It assigns a higher score to content containing measurable outcomes and a lower score when it detects vague superlatives.

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