A
licenseA
qualityD
maintenanceEnables image analysis using any OpenAI-compatible vision API, supporting URLs, local files, or base64 input with custom prompts.
1
MIT
Vision MCP
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TDQS
A3.7/5.0
Scored across 1 tool
Disambiguation5/5
With only one tool, there is no possibility of confusion or overlap between tools. The tool 'analyze_image' has a singular, clearly defined purpose of analyzing image content, making disambiguation perfect.
Naming Consistency5/5
A single tool inherently has consistent naming, as there are no other tools to compare it against. The name 'analyze_image' follows a clear verb_noun pattern, which would be consistent if more tools were added.
Tool Count2/5
A single tool for a 'Vision MCP' server feels thin and incomplete for the apparent scope of image analysis. While the tool is powerful, the domain likely requires more operations (e.g., image processing, comparison, or metadata extraction) to be well-scoped, making the count too low.
Completeness2/5
The tool surface is severely incomplete for a vision-related domain. It only provides analysis, with no support for other common operations like image generation, editing, filtering, or batch processing. This will cause agent failures when tasks require more than basic analysis.
Maintenance
ActivityInactive
ResponsivenessNo issues