A
licenseNot graded
qualityA
maintenanceEnables AI agents to read images with metadata, OCR text, regions, and citeable evidence without relying on generative LLMs.
26 npm
2
MIT
VisionSieve MCP
by scy7796
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TDQS
A4.5/5.0
Scored across 1 tool
Disambiguation5/5
The server exposes only a single tool, so there is no possibility of confusion between tools. Its purpose is clearly defined by the description.
Naming Consistency5/5
With one tool, naming is trivially consistent. The 'vision.inspect' name follows a clean namespace.action pattern.
Tool Count2/5
Providing only one tool makes the server feel very thin. While the tool is potent, the surface area is likely too small for a general-purpose vision MCP server, suggesting a need for at least a few complementary tools.
Completeness4/5
The tool fully covers image inspection with configurable modes and rigor levels, but there is no way to list available images or retrieve metadata, which could be considered minor gaps depending on the intended workflow.
Maintenance
ActivitySlowing
ResponsivenessUnresponsive