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custovox-review-analyzer

custovox-review-analyzer

Local
custovox.aiBusiness & Marketing0Updated today

About custovox-review-analyzer

custovox-review-analyzer is an NLP review analysis MCP server for retail, e-commerce, SaaS, and marketing teams. It is listed as a forthcoming service for analyzing Google, G2, and Trustpilot reviews.

Key features

  1. 01Analyzes Google, G2, and Trustpilot reviews
  2. 02Extracts sentiment signals from customer text
  3. 03Supports five languages

Use cases

  1. 01Research customer reviews across markets
  2. 02Monitor competitors’ review sentiment

MCP support

It is one of custovox.ai’s MCP servers, intended to provide review analysis through MCP. The README lists it as coming soon.

Configuration

Local server config is the same for every client. Copy it into your client’s MCP config file.

mcp.json · Universal config
{
"mcpServers": {
"jeremdecustovox-custovox-review-analyzer": {
"command": "uvx",
"args": [
"custovox-review-analyzer"
]
}
}
}
Run commanduvx custovox-review-analyzer

Local servers need a runtime on your machine (e.g. Node.js 18+). Config file locations differ by client; see your client’s docs.

Packages
pypicustovox-review-analyzer1.0.0

Tools

No tool list yet

Local servers expose tools only once running on your machine, and the maintainer has not provided a tool list.

Details

From the project README

custovox.ai — Customer Intelligence MCPs

Listen deeper. Act faster.

NLP-powered MCP servers for business teams. Detect emotions, escalation risks and churn signals from customer calls, reviews, tickets and images.

Built for retail, e-commerce, SaaS and marketing agencies.


What is custovox.ai?

custovox.ai turns customer conversations into actionable business intelligence — using the same AI models used by Google, Amazon, Meta, Uber and Airbnb. Now accessible to any business.

Validated on 83,724 real customer conversations. Academic research — LUMEN Lab / IAE Lille.


MCP Servers

ServerDescriptionStatus
custovox-sentimentMultilingual sentiment (EN/FR/DE/ES/PT-BR)Coming soon
custovox-emotion6-emotion detection from customer textComing soon
custovox-ticket-scorerPriority + sentiment for support ticketsComing soon
custovox-review-analyzerNLP analysis of Google, G2 & TrustpilotComing soon
custovox-churn-signalChurn risk from conversation sequencesComing soon
custovox-visualImage analysis for hospitality & retailComing soon
custovox-peacePEACE™ Escalation Detection 0-100Proprietary

Use Cases

  • Market Research — Analyze thousands of reviews across markets and languages
  • Competitive Analysis — Monitor competitor sentiment automatically
  • Retail & E-commerce — Detect product issues from photos and reviews
  • SaaS — Predict churn before it happens
  • Marketing Agencies — Deliver NLP insights without building your own models
  • Call Centers — Detect escalation in real time with PEACE™

Supported Languages

English · Français · Deutsch · Español · Português (BR)

Native models — no translation needed.


PEACE™ Algorithm

Score = Emotion x 0.45 + Intention x 0.40 + Sentiment x 0.15

Validated on 83,724 conversations. R2=0.848.


Links


Powered by transformers. MIT License.

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An open protocol that defines how AI applications connect to external tools and data in a uniform way. Clients talk to the model; MCP servers provide tools, resources and prompt templates. They exchange standard messages, so one server can be reused by many clients.