A
licenseA
qualityB
maintenanceAn MCP server providing vision understanding tools (image QA, OCR, video and document understanding) via OpenAI-compatible endpoints, defaulting to Zhipu GLM vision models.
4
MIT
glm4v-vision-mcp
by dqtx760
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TDQS
B3.4/5.0
Scored across 3 tools
Disambiguation2/5
describe_image and analyze_image have overlapping purposes—both generate descriptions of image content, making it unclear which to use. extract_text is distinct, but the boundary between the other two is ambiguous.
Naming Consistency5/5
All tool names follow a consistent verb_noun pattern (describe_image, analyze_image, extract_text) using snake_case. No stylistic deviations.
Tool Count5/5
With 3 tools, the server is well-scoped for a vision-focused MCP. Each tool addresses a core image understanding task without unnecessary bloat.
Completeness4/5
The toolset covers basic image description, analysis, and OCR, which are the primary vision tasks. Minor gaps exist (e.g., no image comparison or specific object detection), but the core surface is complete.
Maintenance
ActivitySlowing
ResponsivenessUnresponsive