A
licenseNot graded
qualityB
maintenanceEnables text-only LLMs to analyze, OCR, and compare images by forwarding them to vision-capable models via OpenAI or Anthropic APIs.
42 npm
MIT
mcp-local-vision
by jshsakura
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TDQS
A4.4/5.0
Scored across 3 tools
Disambiguation5/5
Each tool targets a distinct input type: images, PDFs, and system diagnostics. The descriptions make boundaries clear, with no overlapping purposes.
Naming Consistency4/5
Two tools follow the read_* pattern, but 'vision_doctor' deviates from the verb_noun style. Still, it's readable and predictable.
Tool Count5/5
Three tools is well-scoped for a local vision server: two primary operations and one diagnostic helper. No redundancy or bloat.
Completeness4/5
Image and PDF reading are covered, along with setup diagnostics. Minor gaps like a standalone model list tool exist, but the core workflow is complete.
Maintenance
ActivitySlowing
ResponsivenessNo issues