A
licenseNot graded
qualityC
maintenanceEnables text-only models to understand images through a conversational MCP server, supporting multi-turn follow-ups, URL inputs, and OpenAI-compatible vision APIs.
1
MIT
vision-augment
by CaoMeiYouRen
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TDQS
A4/5.0
Scored across 3 tools
Disambiguation5/5
Each tool has a clearly distinct purpose: the vision tool performs vision/OCR/document tasks, clear_cache manages caching, and health checks the environment. There is no overlap or ambiguity between them.
Naming Consistency4/5
All tools share the consistent mcp_vision_augment_ prefix, but the suffixes are not uniform: 'clear_cache' follows verb_noun, while 'vision' and 'health' are nouns. Still, the pattern is predictable and readable.
Tool Count4/5
Three tools is at the lower end of the typical range but is reasonable for this server's scope: one main functional tool plus two support tools. It does not feel unnecessary or sparse.
Completeness5/5
The tool surface covers the core vision augmentation functionality (vision, OCR, document parsing) and the necessary operational tools (health check, cache clearing). No obvious missing operations that would impede an agent.
Maintenance
ActivityMaintained
ResponsivenessNo issues