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custovox-emotion

custovox-emotion

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custovox.aiBusiness & Marketing0Updated today
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About custovox-emotion

A listed custovox.ai MCP server intended to classify emotions in customer text for business teams. The README marks it as coming soon and describes six emotions, despite the listing tagline stating seven.

Key features

  1. 01Emotion detection in customer text
  2. 02Business-oriented customer intelligence
  3. 03Part of a suite of customer-analysis MCP servers

Use cases

  1. 01Reviewing customer feedback
  2. 02Analyzing support conversations
  3. 03Assessing customer text for business insights

MCP support

Listed as an MCP server for emotion detection from customer text. The README marks custovox-emotion 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-emotion": {
      "command": "uvx",
      "args": [
        "custovox-emotion"
      ]
    }
  }
}
Run commanduvx custovox-emotion

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-emotion1.0.0

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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