A
licenseNot graded
qualityC
maintenanceEnables MCP clients to gain vision capabilities by analyzing images, extracting text, and comparing images through any OpenAI-compatible vision endpoint.
16 npm
MIT
Vision MCP
by Amengclass
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TDQS
A4.1/5.0
Scored across 2 tools
Disambiguation4/5
The two tools have clear but slightly overlapping purposes: describe_image offers general visual understanding, while ocr_image specifically extracts text. An agent could theoretically use describe_image for text extraction, but the OCR tool is more direct and precise for that task.
Naming Consistency5/5
Both tools follow a consistent verb_noun pattern (describe_image, ocr_image), making the tool names predictable and easy to select.
Tool Count3/5
With only 2 tools, the server feels minimal, but it covers the essential tasks of visual understanding and OCR. It's borderline but not unreasonable for a purpose-built vision server.
Completeness4/5
The two tools cover the core needs of image understanding and text extraction, and describe_image is versatile enough to handle many query types. Minor gaps exist, such as no dedicated tools for image comparison or object detection, but these can be handled through describe_image.
Maintenance
ActivitySlowing
ResponsivenessNo issues