A
licenseA
qualityC
maintenanceMCP server that provides an analyze_image tool using OpenAI-compatible vision LLMs to describe images from file paths, URLs, or base64 data.
1
9 npm
1
MIT
agnes-image-mcp
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TDQS
A4.7/5.0
Scored across 4 tools
Disambiguation5/5
Each tool has a clearly distinct purpose: list_models shows available models, set_api_key configures the API key, generate_image creates images, and describe_image interprets images. There is no functional overlap between any pair.
Naming Consistency5/5
All tool names follow the same verb_noun pattern in snake_case: list_models, set_api_key, generate_image, describe_image. The naming is perfectly consistent and predictable.
Tool Count5/5
Four tools is a well-scoped count for an image generation and vision server. Each tool covers a necessary step in the workflow from setup to generation to analysis, with no redundant or missing components.
Completeness5/5
The tool set covers the full lifecycle of the server's purpose: configuration (set_api_key), discovery (list_models), creation (generate_image), and understanding (describe_image). There are no obvious gaps for the intended use case.
Maintenance
ActivitySlowing
ResponsivenessNo issues