custovox-visual

MCP server for a first triage of customer-submitted photos (hotel rooms, product returns, retail, support tickets).

What it returns

One tool, analyze_customer_image(image_url, context="general") — image_url is an image URL or the image as a base64 string:

• description: an English caption of the image
• detected_issue: the most likely issue category (cleanliness, damage or defect, missing item, safety, maintenance, presentation, incorrect item, packaging, or no visible issue; with context="hospitality": room cleanliness, missing amenities, maintenance, bathroom, bed or linen, view or room quality, or no visible problem)
• issue_confidence: the score of that category
• severity: none / low / medium / high, derived from that score
• suggested_action

How it works

• The image is captioned in English by Salesforce/blip-image-captioning-base.
• The caption is then classified into the issue categories with English zero-shot classification (facebook/bart-large-mnli). The category is inferred from the caption, not from the pixels directly: an issue the caption does not mention is not detected.
• severity reflects how confident the classification is, not how serious the issue is. Use it to sort photos for human review, not as a final verdict.
• Runs locally; the only network call is downloading the image when you pass a URL. Models are downloaded on first run.

Installation

pip install custovox-visual

Need more?

custovox.ai — Full customer intelligence platform. From $89/month. https://custovox.ai