A
licenseA
qualityB
maintenanceAn MCP server providing vision understanding tools (image QA, OCR, video and document understanding) via OpenAI-compatible endpoints, defaulting to Zhipu GLM vision models.
4
MIT
glm-vision-mcp
by JJChou000
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TDQS
A4.3/5.0
Scored across 8 tools
Disambiguation5/5
Each tool targets a distinct visual input type (UI, text, error, diagram, data viz, diff, generic, video) with explicit 'do not use for' boundaries. The generic analyze_image is clearly positioned as a fallback, preventing overlap with specialized tools.
Naming Consistency4/5
All names use snake_case, but verb-first pattern is inconsistent: ui_to_artifact and ui_diff_check are noun-first while others are verb-first. Still, the style is uniform and readable.
Tool Count5/5
8 tools is well-scoped for a vision analysis server, covering major categories of visual understanding without unnecessary bloat.
Completeness5/5
The tool surface covers UI conversion, OCR, error diagnosis, diagrams, data visualization, diff checking, generic image analysis, and video analysis—a comprehensive set for the domain. The fallback analyze_image ensures no dead ends.
Maintenance
ActivityStale
ResponsivenessNo issues