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
- 01Analyzes Google, G2, and Trustpilot reviews
- 02Extracts sentiment signals from customer text
- 03Supports five languages
Use cases
- 01Research customer reviews across markets
- 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.
Tools
Local servers expose tools only once running on your machine, and the maintainer has not provided a tool list.
Details
From the project READMEcustovox.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
| Server | Description | Status |
|---|---|---|
custovox-sentiment | Multilingual sentiment (EN/FR/DE/ES/PT-BR) | Coming soon |
custovox-emotion | 6-emotion detection from customer text | Coming soon |
custovox-ticket-scorer | Priority + sentiment for support tickets | Coming soon |
custovox-review-analyzer | NLP analysis of Google, G2 & Trustpilot | Coming soon |
custovox-churn-signal | Churn risk from conversation sequences | Coming soon |
custovox-visual | Image analysis for hospitality & retail | Coming soon |
custovox-peace | PEACE™ Escalation Detection 0-100 | Proprietary |
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
- Website: https://custovox.ai
- Contact: [email protected]
Powered by transformers. MIT License.
Comments
New to MCP?
From what the protocol is to installing your first server, these answers cover most first questions.
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.