Custovox Emotion

io.github.jeremdecustovoxPublished by GitHub account jeremdecustovoxv1.0.1Updated Oct 30, 2026

custovox.ai MCP server: 7-emotion detection in English customer text (batch up to 50)

VerifiedSTDIODesktop onlyData & Analytics Business & Commerce

Server details

Identifier: io.github.jeremdecustovox/custovox-emotion
Transport: STDIO
Runtime: Desktop only
Trust: Verified
Published: Oct 23, 2026

Security note

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Overview

AI-generated overview

Local MCP server from custovox.ai that detects seven emotions in English customer text, in batches of up to 50.

What you can do: Detect emotions in customer text: analyze English customer messages and return emotion labels for each item.
Process batches: submit up to 50 text items in a single call.
Support customer-intelligence work: intended for reviews, tickets, calls and other customer feedback, though only the emotion server is described here.
When to use it: Useful when an assistant needs to label emotion in English customer feedback such as reviews, support tickets or survey responses, and you want that analysis to run locally through an MCP client.
Requirements: Runs as a local stdio process on the user's machine, installed from the PyPI package custovox-emotion, so a Python environment is needed. Desktop only; no web execution. No authentication, environment variables or headers are declared.

Before you install

Customer text you submit is sent to the server for analysis, so review whether that data may leave your machine or reach third parties. The README marks the emotion server as coming soon, so availability and behavior may change. The README also lists other servers and a proprietary PEACE algorithm that are not part of this package.

Installation

In SourceWeft

Open Custovox Emotion 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

SourceWeft started this package once in an isolated sandbox, without credentials, to list its tools. That failed: the package did not install.

Version history

v1.0.1LatestOct 30, 2026
v1.0.0Oct 23, 2026

Score

50% of the applicable checks met

How complete this listing is, computed from the registry entry, the endpoint and public sources. Not a rating of the server and not a statement that it is safe or working today: reachability is a dated check, and no installs or reviews go into the score.

Reached in the last 30 days25 pts
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Auth declared10 pts
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Tools listed15 pts
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DescriptionRequired15 pts
Logo10 pts
Documentation15 pts
License10 pts