A
licenseNot graded
qualityC
maintenanceMCP server exposing an analyze_image tool that sends images to an OpenAI-compatible vision model and returns text answers, usable from any MCP client.
38 npm
MIT
vision-mcp
by winton979
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TDQS
A4/5.0
Scored across 1 tool
Disambiguation5/5
Only one tool exists, so there is no ambiguity between tools. An agent cannot misselect among tools.
Naming Consistency5/5
With a single tool, naming consistency is not applicable but there is no inconsistency to flag.
Tool Count2/5
A single tool covering all vision analysis tasks feels too thin for the scope. While the tool is versatile via prompts, it lacks separate endpoints for different operations, making the surface sparse.
Completeness3/5
The tool covers the core vision analysis functionality with options for local/remote/base64 input and custom prompts. However, there are no tools for managing image resources or handling results, leaving minor gaps for complex workflows.
Maintenance
ActivityInactive
ResponsivenessNo issues