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
238 npm
GPL 2.0
low-hallucination-vision
by ZRZRING
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TDQS
A4.4/5.0
Scored across 3 tools
Disambiguation3/5
The analyze_image tool includes modes for OCR and detection, directly overlapping with ocr_extract and detect_elements. While descriptions reference the dedicated tools, the redundancy creates potential confusion about which tool to choose. The general-purpose nature of analyze_image vs. the specialized tools provides some clarity, but boundaries are not crisp.
Naming Consistency4/5
Two tools follow the verb_noun pattern (analyze_image, detect_elements), while ocr_extract inverts the order. All are snake_case and descriptive, so the inconsistency is minor and does not impede readability.
Tool Count5/5
Three tools is a well-scoped count for a focused vision server, each targeting a distinct primary task: general analysis, OCR, and object detection. This falls squarely within the ideal 3-15 range.
Completeness4/5
The set covers core vision workflows: general scene description, text extraction, and object detection. Minor gaps exist (e.g., no dedicated UI screenshot tool despite analyze_image's mode), but the surface is functional and sufficient for typical use cases.
Maintenance
ActivityInactive
ResponsivenessNo issues