A
licenseA
qualityC
maintenanceMCP server that provides visual question answering, image description, object detection, OCR, and image manipulation tools using OpenAI-compatible vision models.
12
154 npm
GPL 2.0
dsh-vision
by smjda0719
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TDQS
A4.2/5.0
Scored across 4 tools
Disambiguation5/5
Each tool targets a distinct input type: vision_analyze for images, vision_ocr for text extraction from images, vision_video for videos, and vision_document for documents. The description explicitly advises using vision_ocr over vision_analyze for text extraction, eliminating ambiguity.
Naming Consistency4/5
All tools follow a consistent vision_ prefix and use lowercase snake_case. However, vision_analyze uses a verb while vision_ocr, vision_video, and vision_document use nouns or acronyms, creating a minor inconsistency in part of speech.
Tool Count5/5
With 4 tools, the server is well-scoped for its domain of multimodal vision analysis. Each tool addresses a different input modality (images, OCR, videos, documents), leaving no obvious gaps while avoiding unnecessary bloat.
Completeness5/5
The set covers the core capabilities one would expect from a vision MCP server: general image analysis, OCR, video understanding, and document Q&A. No essential operations are missing for the stated purpose of analyzing visual content.
Maintenance
ActivitySlowing
ResponsivenessNo issues