Custovox Sentiment

io.github.jeremdecustovoxv1.0.1Updated Oct 8, 2026

Custovox AI customer sentiment analysis MCP server

VerifiedSTDIODesktop onlyData & Analytics Business & Commerce

Overview

AI-generated overview

A local MCP server for multilingual customer sentiment analysis of text such as calls, reviews and tickets.

What it does: Custovox Sentiment is described as an NLP-powered customer intelligence server that detects sentiment, emotions, escalation risk and churn signals from customer conversations, reviews, tickets and images. The README lists a family of planned servers, including multilingual sentiment (EN/FR/DE/ES/PT-BR), six-emotion detection, ticket priority scoring, review analysis, churn signals, image analysis and a PEACE escalation score. The registry description only states that it performs customer sentiment analysis; no individual tools are listed in the manifest.
When to use it: Consider it if you want an assistant to analyze customer feedback, support tickets, reviews or call transcripts for sentiment and escalation or churn signals, especially in retail, e-commerce, SaaS or agency settings. The README marks most listed servers as coming soon, so verify what is actually available before relying on it.
Requirements: Runs as a local process over stdio, installed from the PyPI package custovox-sentiment; desktop only. No authentication, environment variables or headers are declared.

Before you install

The README lists most servers as coming soon, so capabilities may not be usable yet. Customer conversations, reviews and tickets may contain personal data; check how that content is handled before sending it. No credentials or payment details are declared.

Installation

In SourceWeft

Open Custovox Sentiment in the dashboard and add it to a workspace.
Enable the server for the chats that should use its tools.

Desktop only via STDIO. STDIO servers start a local process, so they need the SourceWeft desktop host.

Other MCP clients

Follow the launch instructions in the repository.

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

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.

Tools

Tool metadata has not been indexed yet.

Version history

v1.0.1LatestOct 8, 2026