F
licenseA
qualityC
maintenanceThis MCP server enables image analysis through a single tool that supports multiple vision models and API providers, with automatic failover and persistent state management.
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vlm-mcp-server
by syntx-ai
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TDQS
A4.3/5.0
Scored across 8 tools
Disambiguation5/5
Each specialized tool targets a distinct visual content type (UI, text, errors, diagrams, charts, UI comparison), and the general analyze_image explicitly serves as a fallback for anything not covered. The routing guidelines in the descriptions prevent overlap and misselection.
Naming Consistency4/5
All tools follow a consistent snake_case convention with action-oriented verbs (extract, diagnose, understand, analyze) followed by their target. Minor deviations: ui_to_artifact and ui_diff_check use compound phrases rather than a strict verb_noun form, but the pattern remains readable.
Tool Count5/5
Eight tools provide a well-scoped set for a vision-language server: five specialized analyzers, one comparison tool, one general fallback, and one video tool. This falls comfortably within the ideal range and every tool addresses a meaningful use case.
Completeness5/5
The tool set covers the full spectrum of VLM analysis needs: UI, text, errors, diagrams, data visualizations, UI differences, general images, and videos. The fallback analyze_image ensures no input type falls through, making the surface complete.
Maintenance
ActivityInactive
ResponsivenessNo issues