Custovox Review Analyzer

io.github.jeremdecustovoxPublished by GitHub account jeremdecustovoxv1.0.0Updated Oct 30, 2026

custovox.ai MCP server: customer review sentiment breakdown and summaries (up to 100 reviews)

The publisher's own server: Review Expert

VerifiedSTDIODesktop onlyData & Analytics Business & Commerce

Server details

Identifier: io.github.jeremdecustovox/custovox-review-analyzer
Transport: STDIO
Runtime: Desktop only
Trust: Verified
Published: Oct 30, 2026

Security note

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The registry verified the GitHub account jeremdecustovox for this listing. That does not show the account is the product's maker.

SourceWeft's checks cover whether the listing is complete and the endpoint answered; they do not review the server's code or what its tools do.

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Overview

AI-generated overview

Local custovox.ai MCP server that breaks down sentiment and summarizes customer reviews, up to 100 reviews at a time.

What you can do: Analyze customer reviews for sentiment breakdown and summaries, with a cap of 100 reviews per request
Work with review sources such as Google, G2 and Trustpilot, per the vendor's product table
Support multilingual customer text (English, French, German, Spanish, Portuguese-BR) using native models
Serve business use cases such as market research, competitor sentiment monitoring and product-issue detection
When to use it: Worth considering if you want an assistant to summarize and score batches of customer reviews for market research, competitor tracking or product feedback. Note the vendor lists this server as coming soon, so confirm it is actually available before planning around it.
Requirements: Runs as a local stdio process installed from the PyPI package custovox-review-analyzer, so a Python environment is needed. Desktop-only; no web execution. No authentication, environment variables or headers are declared.

Before you install

Review text you submit is sent to custovox.ai's NLP service for analysis, so avoid pasting confidential or personal data. The README marks this server as coming soon, and the manifest declares no credentials, so verify what data leaves your machine before relying on it.

Installation

In SourceWeft

Open Custovox Review Analyzer 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 has not started this package in its sandbox yet, so its tools are not known.

Version history

v1.0.0LatestOct 30, 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
Keep the endpoint answering the MCP handshake; SourceWeft probes it every 30 days.
Auth declared10 pts
Declare the credential headers in the registry entry, or keep the endpoint answering the probe so its auth can be classified.
Tools listed15 pts
Answer tools/list without a credential, or ship a package that starts in a sandbox without one.
DescriptionRequired15 pts
Logo10 pts
Documentation15 pts
License10 pts

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