A
licenseA
qualityB
maintenanceA local MCP server that gives vision to vision-less LLMs by describing images and extracting text via Alibaba DashScope vision models.
2
MIT
llm-vision-mcp
by shaoyun
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TDQS
A3.8/5.0
Scored across 7 tools
Disambiguation5/5
Each tool targets a distinct image understanding task: general analysis, OCR, error diagnosis, diagram explanation, data visualization, UI-to-code conversion, and UI diffing. The specialized scopes prevent confusion, even though analyze_image is broad, it serves as a catch-all rather than overlapping with specific tools.
Naming Consistency4/5
Most tools follow a verb-first naming pattern (analyze_image, extract_text_from_image, diagnose_error_screenshot, understand_technical_diagram, analyze_data_visualization), but two tools (ui_to_artifact, ui_diff_check) are noun-first. Despite this minor deviation, all names are readable and use consistent snake_case.
Tool Count5/5
With 7 tools, the server is well-scoped for image understanding. Each tool covers a distinct sub-domain (general analysis, OCR, errors, diagrams, data viz, UI artifacts, UI comparison), and no tool feels redundant or unnecessary.
Completeness5/5
The tool surface is comprehensive for an image understanding server, covering general understanding, text extraction, error diagnosis, diagram interpretation, data visualization analysis, UI-to-code conversion, and UI regression checking. There are no obvious missing operations within the stated domain.
Maintenance
ActivityStale
ResponsivenessNo issues