
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
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.
Installation
In SourceWeft
- Open Custovox Ticket Scorer 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
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
- Website: https://custovox.ai
- Contact: [email protected]
Powered by transformers. MIT License.
Source: README.md at commit 8803bbc
Tools
0Version history
2- 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
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