llm-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.417 npmMIT
- 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
- AlicenseAqualityCmaintenanceEnables text-only LLMs to analyze images by sending files, URLs, or data URIs to a separate OpenAI-compatible vision model through a single MCP tool.1MIT
- AlicenseNot gradedqualityCmaintenanceAdds vision capabilities to text-only LLMs by integrating external vision models via MCP. It supports OCR, error screenshot reading, UI description, image comparison, and natural-language queries on images.43 npmMIT
- FlicenseNot gradedqualityCmaintenanceProvides image understanding capabilities for MCP clients (e.g., Claude Code) by analyzing images using vision models from providers like Alibaba Cloud Bailian, OpenAI, or OpenRouter, returning detailed descriptions in Markdown format.1-
- FlicenseNot gradedqualityCmaintenanceProvides an MCP tool that analyzes images from local paths, URLs, or data URLs via a vision language model, returning structured descriptions (brief, detailed, summary) so text-only LLMs can understand image content.-
TDQS
Scored across 7 tools
Most tools have clearly distinct purposes (OCR, UI description, error diagnosis, diagram interpretation, chart analysis, code extraction), but 'analyze_image' is a generic catch-all that could overlap with any of the specialized tools, creating potential misselection.
All tool names follow a consistent verb_noun pattern (analyze_image, extract_text, describe_ui, diagnose_error, understand_diagram, analyze_chart), with only 'code_from_screenshot' being a slight deviation but still fitting the overall style.
7 tools is a well-scoped count for a vision analysis server, covering common image tasks without unnecessary bloat or thinness.
The tool set covers general analysis, OCR, UI, errors, diagrams, charts, and code extraction, which is comprehensive for typical vision workflows. Minor gaps like image transformation or object detection exist but are not core to the server's implied purpose.