A
licenseNot graded
qualityC
maintenanceEnables analysis of local images through Kimi (Moonshot AI) vision models via the MCP protocol, supporting features like OCR and long context understanding.
17 npm
MIT
glm-vision-mcp
by lanyu-211
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TDQS
A3.9/5.0
Scored across 1 tool
Disambiguation5/5
With only one tool, there is no possibility of selecting between overlapping tools. The tool's purpose is clearly described as image description and OCR, so no ambiguity exists.
Naming Consistency5/5
The single tool name 'describe_image' follows a clear verb_noun pattern, which is internally consistent. There are no other tools to create inconsistencies.
Tool Count2/5
The server offers only one tool, which feels too thin for a vision-focused server. Even though the domain is narrow, typical vision servers provide separate operations for description, OCR, and question answering, making a single catch-all tool insufficient.
Completeness3/5
The tool covers image description and text extraction, but lacks common vision capabilities such as answering questions about an image or analyzing multiple images. The combined single tool creates a limitation where specific tasks cannot be addressed independently.
Maintenance
ActivityMaintained
ResponsivenessNo issues