A
licenseA
qualityB
maintenanceEnables any MCP client to perform image understanding and OCR via any OpenAI-compatible vision-language model. Supports local, private inference without images leaving the machine.
2
15 npm
MIT
claude-image-recognition-mcp
by JesonMrLiu
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TDQS
A4.1/5.0
Scored across 1 tool
Disambiguation5/5
With only a single tool, there is no possibility of confusion between tools; the tool's name and description clearly define its purpose.
Naming Consistency5/5
The tool name follows a clear verb_noun convention (recognize_image), and since there is only one tool, naming consistency is trivially maintained.
Tool Count3/5
The server exposes a single tool, which is on the edge of being too few for a typical MCP server. While the tool is substantive and not trivial, the surface area feels thin compared to servers that offer multiple related operations.
Completeness4/5
The tool covers the core operation of image recognition/analysis with flexible input sources (path, URL, clipboard). Minor gaps might include additional controls or metadata, but the primary workflow is well-covered.
Maintenance
ActivityMaintained
ResponsivenessSyncing