A
licenseA
qualityD
maintenanceEnables image analysis and understanding using Vision Language Models through OpenAI-compatible APIs. Supports analyzing images from URLs or local files with custom prompts.
1
2
MIT
vision-mcp
by HelenQ
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TDQS
A3.8/5.0
Scored across 2 tools
Disambiguation5/5
The two tools are completely distinct: describe_image handles image-to-text conversion, while configure manages server settings. There is no overlap or ambiguity between them.
Naming Consistency4/5
Both tool names are lowercase with underscores, and describe_image follows the verb_noun pattern. 'configure' is a simple verb without a noun, which is a minor deviation but still clear and predictable.
Tool Count3/5
The server has only two tools, which feels slightly thin for a vision-oriented MCP. However, the narrow scope of 'describe an image' plus configuration is coherent, even if minimal.
Completeness3/5
The core operation (image description) is covered, and configuration is available, but obvious extensions like model listing or multiple vision capabilities (e.g., OCR) are missing. It works for basic use, but the surface is quite limited.
Maintenance
ActivityMaintained
ResponsivenessNo issues