A
licenseA
qualityB
maintenanceEnables non-multimodal models to see images by providing MCP tools for image understanding and OCR, backed by any OpenAI-compatible vision model.
2
MIT
mimo-vision-mcp
by mikulovesuki
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TDQS
A3.6/5.0
Scored across 3 tools
Disambiguation2/5
The tools analyze_image and describe_image have overlapping purposes—both process images to provide content understanding, and analyze_image accepts a prompt that could easily request a description. This creates selection ambiguity, while extract_text_from_image is clearly distinct.
Naming Consistency5/5
All tool names follow the consistent verb_noun pattern: analyze_image, describe_image, extract_text_from_image. The naming is predictable and makes functionality intuitively obvious.
Tool Count4/5
With only 3 tools, the server stays within the typical 3-15 range and is appropriately scoped for a vision analysis service. Each tool addresses a high-level need without excessive bloat.
Completeness3/5
The set covers core image understanding (general Q&A, full description, OCR), but lacks dedicated tools for tasks like classification, comparison, or object detection. The overlap between analyze and describe indicates a design gap, though the current coverage handles basic workflows.
Maintenance
ActivitySlowing
ResponsivenessNo issues