A
licenseNot graded
qualityD
maintenanceEnables text-only LLMs to analyze images by routing them to an OpenAI-compatible vision backend, supporting local files, URLs, and data URLs.
19 npm
MIT
image-understand-mcp
by sgs844575
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TDQS
A3.9/5.0
Scored across 2 tools
Disambiguation5/5
The two tools have clearly distinct purposes: understand_image performs image analysis, while list_vision_providers only lists configured providers. There is no overlap in function or input, so an agent can easily select the correct tool.
Naming Consistency5/5
Both names use snake_case and follow a verb_noun pattern: understand_image and list_vision_providers. The convention is consistent and predictable across the entire set.
Tool Count3/5
With only 2 tools, the set is borderline thin; one is a core operation and the other is auxiliary. While it matches the narrow purpose, it falls below the typical 3–15 range for a well-scoped server.
Completeness4/5
The core operation of understanding images and a helper to list providers are present, covering the main workflow. A minor gap exists: understand_image uses the configured default model with no parameter to select a specific provider per call, despite list_vision_providers exposing options.
Maintenance
ActivityInactive
ResponsivenessNo issues