vision-mcp
Related Servers
Alternatives to vision-mcp
No user-submitted related servers found.
Related Servers
- AlicenseAqualityCmaintenanceMCP server that provides visual question answering, image description, object detection, OCR, and image manipulation tools using OpenAI-compatible vision models.1275 npmGPL 2.0
- AlicenseAqualityDmaintenanceMCP server for vision AI — screenshots to code, OCR, error diagnosis, and image analysis via OpenAI-compatible APIs.82MIT
- AlicenseNot gradedqualityBmaintenanceAn MCP server that provides 8 vision tools for UI screenshot to code, OCR, error diagnosis, diagram understanding, data visualization analysis, UI diff, and image/video analysis, plus model list query, powered by SiliconFlow's multimodal API.GPL 3.0
- AlicenseNot gradedqualityBmaintenanceAn MCP server for image recognition and OCR via OpenAI-compatible vision APIs, supporting local files, URLs, and data URLs. Enables natural language image description and text extraction.14 npm2MIT
- FlicenseAqualityCmaintenanceAn MCP server that adds visual understanding to text-only LLMs via image understanding, OCR, and image comparison tools, with multi-provider fallback and context-aware Focus Hint for precise descriptions.3-
- AlicenseAqualityBmaintenanceAn MCP server providing vision understanding tools (image QA, OCR, video and document understanding) via OpenAI-compatible endpoints, defaulting to Zhipu GLM vision models.4MIT
TDQS
Scored across 7 tools
The specialized tools (OCR, error diagnosis, diagrams, data viz, UI conversion, UI diff) have distinct purposes, and the generic image_analysis is explicitly positioned as a fallback. However, understand_technical_diagram and analyze_data_visualization could overlap for certain images, and image_analysis could be used for any task, creating some ambiguity.
Most tools follow a verb_object pattern (extract_text_from_screenshot, diagnose_error_screenshot, understand_technical_diagram, analyze_data_visualization), but image_analysis is noun-based and ui_to_artifact is not verb-first. ui_diff_check is also ambiguous in word order, so the pattern is mixed but still readable.
Seven tools is a well-scoped number for a vision MCP server. It covers a broad range of image analysis tasks without being bloated, and each tool has a clear role.
The tool set covers major vision tasks: generic understanding, OCR, error screenshot diagnosis, technical diagram interpretation, data visualization analysis, UI conversion, and UI diff checking. Minor gaps exist, such as no generic image comparison (only UI-specific) and no image generation/transformation, but these are somewhat outside the core analysis purpose.