A
licenseA
qualityA
maintenanceEnables converting images (JPEG, PNG, GIF, WebP) into text descriptions using OpenAI-compatible vision models, with support for both local files and URLs.
2
17 npm
MIT
Image Processor MCP Server
by jbergant
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TDQS
A3.6/5.0
Scored across 2 tools
Disambiguation3/5
The two tools have overlapping purposes—both process images and upload to Vercel Blob—but the descriptions clearly differentiate them by input source (local file vs. URL). This overlap could cause minor confusion, but the distinctions are explicit enough to guide selection.
Naming Consistency5/5
Tool names follow a consistent verb_noun pattern with 'process_and_upload_image' as the base, extended with 'from_url' for the second tool. This predictable naming makes it easy to understand the tool set's structure and relationships.
Tool Count2/5
With only 2 tools, the server feels under-scoped for an 'Image Processor' domain. This minimal set lacks operations like basic processing without upload, downloading images, or managing uploaded files, limiting agent workflows.
Completeness2/5
The tool set is severely incomplete for image processing. It covers only upload-oriented workflows, missing essential operations such as standalone processing, format conversion, resizing, or retrieval of images, leaving obvious gaps in the domain.
Maintenance
ActivityInactive
ResponsivenessNo issues