MCP For Claude Marketplace
Review Response Template Scorer

Review Response Template Scorer MCP Connector for Claude

A+

Automated evaluation of business response quality, personalization, and tone alignment.

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

This MCP server provides a suite of tools to measure the effectiveness of business responses to customer reviews. It evaluates key dimensions such as personalization using score_personalization, checks for tone alignment with evaluate_tone_alignment, ensures negative feedback is addressed via verify_resolution_adequacy, calculates response efficiency with calculate_length_efficiency, and detects repetitive templates through assess_template_uniqueness.

reviewssentiment-analysisautomationreputation-managementnlp

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

evaluate_tone_alignment

Check if response tone matches review sentiment

verify_resolution_adequacy

Verify if negative reviews have a resolution

assess_template_uniqueness

Assess template uniqueness

calculate_length_efficiency

Calculate length efficiency ratio

score_personalization

Score how personalized a response is

See how to talk to your AI agent using Review Response Template Scorer.

How personalized is this response: 'Hi John, thanks for the great feedback on our pizza!' to the review 'John: The pizza was amazing!'?

The response is highly personalized because it correctly identifies the reviewer, John, and references the specific product mentioned.

Check if this response to a negative review is adequate: 'We are sorry for the bad experience. We will look into it.'

The response contains an acknowledgment of the issue, but lacks a specific action offer or contact pathway to ensure resolution.

Is this response too long compared to the review: 'Review: Great! Response: We are so incredibly happy that you had such a wonderful time at our establishment and we look forward to seeing you again very soon!'?

The length ratio is significantly high, suggesting the response is disproportionately long compared to the brief review.

The `score_personalization` tool checks if the response includes specific details from the review, such as the reviewer's name or mentioned products.

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