MCP server: One MCP server.

Custovox Sentiment

@jeremdecustovoxMCP server · External

Custovox AI customer sentiment analysis MCP server

Business intelligencev1.0.2MITJavaScript
Freeno charge per call

Runs on your machine from its package; the steps are below.

What it does

  1. Reads
  2. Writes
  3. High impact

Not assessed yet.

What it costs

Free

Odel charges nothing per call. The publisher may charge for its own service.

Runs locally over stdio

This server isn't hosted — your MCP client launches it from a package registry. Use one of the commands below, or drop the config into your client (e.g. Claude Desktop).

PyPIcustovox-sentimentv1.0.2

Run

uvx custovox-sentiment

MCP client config

{
  "mcpServers": {
    "custovox-sentiment": {
      "command": "uvx",
      "args": [
        "custovox-sentiment"
      ]
    }
  }
}
README1 min read

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.



Powered by transformers. MIT License.

Similar modules

Browse Business intelligence