vision-mcp
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- AlicenseNot gradedqualityAmaintenanceProvides a unified image-understanding tool for AI assistants without native vision, letting them analyze screenshots, error messages, UI layouts, and documents via multiple vision LLM providers. It supports local files, remote URLs, Data URIs, OCR, multi-crop processing, and standard MCP clients.1,104 npmMIT
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- AlicenseAqualityBmaintenanceGives text-only LLMs vision capabilities via MCP, using vision models like Xiaomi MiMo-V2.5 to analyze images, describe content, and extract text through tools such as analyze_image, describe_image, and extract_text_from_image.31MIT
TDQS
Scored across 2 tools
Both tools analyze images, but analyze_image is for a single image while understand_image supports multiple images and more modes. The descriptions include cross-references, which helps, but the strong overlap in purpose could still confuse an agent.
Both tool names follow the same verb_noun pattern (analyze_image, understand_image) and are grammatically consistent, making the naming predictable.
With only two tools, the server feels thin for a vision MCP, though it covers both single-image and multi-image analysis. It is borderline but not severely under-scoped.
The two tools cover a broad range of vision tasks (description, OCR, document extraction, UI inspection, chart reading, etc.), leaving only minor gaps such as direct image metadata retrieval or manipulation.