F
licenseNot graded
qualityD
maintenanceA local MCP server exposing the OpenAI platform REST API as tools for file management, fine-tuning, inference, images, audio, batch processing, and organization usage/costs.
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Multimodal MCP Server
by soyrochus
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TDQS
B3.2/5.0
Scored across 10 tools
Disambiguation5/5
Each tool has a clearly distinct purpose within its modality (audio or image). The audio tools cover analysis, transcription, transformation, and TTS without overlap, and the image tools cover analysis, editing, extraction, generation, and spec conversion. The multimodal_chain tool is unique.
Naming Consistency5/5
Tool names follow a consistent pattern: modality_verb (e.g., audio_analyze, image_generate). All use snake_case with clear, descriptive verbs. The naming is predictable and easy to understand.
Tool Count5/5
10 tools is well-scoped for a multimodal server covering audio and image operations. Each tool earns its place, covering common tasks without being excessive or sparse.
Completeness4/5
The tool surface is largely complete for audio and image modalities, including analysis, generation, transformation, and extraction. A minor gap is the lack of a standalone audio extraction tool (though audio_analyze can handle it), and video is not covered, but that may be out of scope.
Maintenance
ActivityInactive
ResponsivenessNo issues