A
licenseA
qualityC
maintenanceMCP server that provides visual question answering, image description, object detection, OCR, and image manipulation tools using OpenAI-compatible vision models.
12
166 npm
GPL 2.0
mcp-omni-context
by 0xnurrabby
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TDQS
A4.7/5.0
Scored across 2 tools
Disambiguation5/5
The two tools have clearly distinct purposes: read_context_data extracts content from files/images/archives, while find_images locates image paths. They complement each other without overlapping, so an agent can easily choose the right tool.
Naming Consistency5/5
Both tool names follow a consistent verb_noun snake_case pattern: read_context_data and find_images. This predictability makes the tool set easy to navigate.
Tool Count4/5
With only 2 tools, the count is slightly below the typical 3-15 range, but it is appropriate for the narrowly scoped purpose of context extraction. Each tool is essential and earns its place.
Completeness5/5
The tool surface covers the core workflow: reading content from images, files, and archives, plus finding images when no path is provided. There are no significant gaps for the stated domain; minor omissions like other archive formats are acceptable.
Maintenance
ActivitySlowing
ResponsivenessNo issues