A
licenseA
qualityD
maintenanceEnables image analysis and understanding using Vision Language Models through OpenAI-compatible APIs. Supports analyzing images from URLs or local files with custom prompts.
1
2
MIT
Image Parse MCP
by 1617110693
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TDQS
A4.4/5.0
Scored across 1 tool
Disambiguation5/5
With only one tool, there is no possibility of confusion or overlap. Agents can unambiguously select the correct tool for any image analysis task.
Naming Consistency5/5
The single tool uses a clear verb_noun pattern ('analyze_image'), which is consistent with best practices. No other tools exist to introduce inconsistency.
Tool Count4/5
One tool is on the low end for a general utility, but it fits the narrow scope of image parsing via LLM. A single unified tool can be sufficient if it covers the intended use cases without needing multiple specialized tools.
Completeness4/5
The tool covers core image analysis needs (description, OCR, chart understanding) through a multimodal LLM. Minor gaps like batch processing or model selection are absent, but the core functionality is well-covered for the stated purpose.
Maintenance
ActivityInactive
ResponsivenessNo issues