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licenseA
qualityC
maintenanceEnables AI assistants to generate images and videos via the Agnes AI API, supporting text-to-image, image-to-image, and video generation.
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Pollinations Multimodal MCP Server
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TDQS
B3.2/5.0
Scored across 12 tools
Disambiguation4/5
Most tools have distinct purposes, but there is some potential confusion between generateImage and generateImageUrl (both generate images but return different outputs) and between respondAudio and sayText (both produce audio but with different input approaches). The descriptions help clarify, but an agent might need to carefully choose between these pairs.
Naming Consistency4/5
The naming follows a consistent verb_noun pattern (e.g., generateImage, listAudioVoices, updateDomains) with minor deviations like checkAuthStatus (which could be checkAuth or getAuthStatus) and startAuth (which could be initiateAuth). Overall, it's readable and mostly predictable.
Tool Count5/5
With 12 tools, the count is well-scoped for a multimodal server covering authentication, image generation, text generation, audio generation, and model listing. Each tool serves a clear purpose without feeling excessive or insufficient for the domain.
Completeness4/5
The toolset covers key areas like authentication, content generation (image, text, audio), and model management, but there are minor gaps such as lacking tools for deleting or managing generated content (e.g., deleteImage, updateText) and no tool for checking usage or quotas. However, agents can work around these for core workflows.
Maintenance
ActivityInactive
ResponsivenessNo issues