llm-vision-mcp
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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
- 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.25 npmMIT
- FlicenseNot gradedqualityBmaintenanceProvides 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.-
- AlicenseAqualityCmaintenanceGive text-only LLM agents eyes by describing images through a vision-language model via MCP or CLI.113 npmMIT
- AlicenseNot gradedqualityCmaintenanceMCP server that adds Qwen3-VL vision capabilities to Claude Code or any MCP client, enabling OCR, UI/screenshot recognition, and chart understanding. It provides tools for analyzing single or batch images via DashScope's OpenAI-compatible API, with caching and fast mode.MIT
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.