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custovox-sentiment

custovox-sentiment

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custovox.aiBusiness & Marketing0Updated today

About custovox-sentiment

custovox-sentiment is a planned MCP server for multilingual customer sentiment analysis, aimed at retail, e-commerce, SaaS, and marketing teams. It lists support for English, French, German, Spanish, and Brazilian Portuguese; the server is marked coming soon.

Key features

  1. 01Sentiment analysis in five languages
  2. 02Native-language models without translation
  3. 03Customer conversation intelligence

Use cases

  1. 01Compare reviews across markets and languages
  2. 02Monitor competitor sentiment
  3. 03Identify customer sentiment in retail and e-commerce
  4. 04Provide NLP insights for marketing work

MCP support

The project lists custovox-sentiment as an MCP server, but marks it as coming soon. The README does not specify the tools or data exposed to MCP clients.

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-sentiment": {
"command": "uvx",
"args": [
"custovox-sentiment"
]
}
}
}
Run commanduvx custovox-sentiment

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-sentiment1.0.3

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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