Custovox Ticket Scorer

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

custovox.ai support ticket scoring MCP server: priority, category, sentiment, escalation risk

VerifiedSTDIODesktop onlyData & AnalyticsBusiness & Commerce

Overview

AI-generated overview

Local MCP server from custovox.ai that scores support tickets for priority, category, sentiment and escalation risk.

What you can do
  • Score support tickets for priority, category, sentiment and escalation risk
  • Apply an NLP model to customer text such as tickets, reviews and conversations
  • Report escalation risk using the vendor's PEACE scoring approach
  • Work with English, French, German, Spanish and Brazilian Portuguese text
When to use it
Useful for support, retail, e-commerce or SaaS teams that want an assistant to triage incoming tickets and flag likely escalations or churn signals without building their own NLP models.
Requirements
Runs as a local stdio process installed from the PyPI package custovox-ticket-scorer, so a Python environment is needed. No authentication, environment variables or headers are declared. Desktop only; not available as a web executable.
Before you install
The README lists this server as 'Coming soon', so it may be incomplete or unavailable. Ticket text you submit is processed by the server's NLP models; check where that processing happens before sending customer data. No credentials are declared.

Installation

In SourceWeft

  1. Open Custovox Ticket Scorer in the dashboard and add it to a workspace.
  2. 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

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.

Source: README.md at commit 8803bbc

Tools

0
SourceWeft started this package once in an isolated sandbox, without credentials, to list its tools. That failed: the package did not install.

Version history

2
  1. v1.0.1LatestOct 30, 2026
  2. 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

    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