A
licenseA
qualityA
maintenanceA portable image-understanding MCP server that lets agents analyze local images, URLs, or base64 images via an OpenAI-compatible vision model.
1
269 npm
70
MIT
mcp-see
by sanity-labs
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TDQS
A3.6/5.0
Scored across 4 tools
Disambiguation4/5
Each tool targets a distinct image analysis operation: full-image description, object detection, region-level description, and color extraction. The only slight overlap is between describe and describe_region, but the latter's description clarifies its use after detect().
Naming Consistency4/5
All names are snake_case and start with a verb, but the pattern is mixed: describe and detect are bare verbs while describe_region and analyze_colors follow verb_noun. This minor inconsistency is still readable.
Tool Count5/5
Four tools is a well-scoped set for an image analysis server, with each tool fulfilling a distinct role. The count is neither bloated nor thin.
Completeness4/5
The surface covers core image understanding: description, object detection, region zoom, and color analysis. However, notable gaps exist such as OCR/text extraction or image classification, which some users might expect from an 'mcp-see' server.
Maintenance
ActivityInactive
ResponsivenessNo issues