A
licenseA
qualityD
maintenanceEnables image analysis using any OpenAI-compatible vision API, supporting URLs, local files, or base64 input with custom prompts.
1
MIT
Explain Image MCP Server
by hsain9357
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TDQS
A4.4/5.0
Scored across 2 tools
Disambiguation5/5
The two tools have completely distinct purposes: describe_image processes images, while list_models enumerates available models. There is no overlap or ambiguity in their roles.
Naming Consistency5/5
Both tools follow the identical verb_noun naming pattern (describe_image and list_models), creating a clear and predictable convention. This consistency makes the tool set easy to navigate.
Tool Count4/5
With only 2 tools, the server is lean but appropriately scoped for its narrow purpose of explaining images. The core describe_image tool is supported by list_models, giving just enough functionality without bloat.
Completeness5/5
For the stated purpose of image explanation, the server fully covers the domain. describe_image is flexible via custom prompts, supporting descriptions, OCR, object listing, and more, with no obvious gaps for a single-purpose MCP server.