openai-mcp
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TDQS
Scored across 10 tools
Most tools target clearly distinct OpenAI capabilities: text generation, token counting, embeddings, moderation, image generation/editing, model listing, and speech generation/transcription/translation. The only mild overlap is transcribe_audio versus translate_audio, since both convert speech to text, though the descriptions make the translation-to-English distinction reasonably clear.
All names are snake_case and follow a verb_noun structure, which is highly predictable. There is a minor inconsistency in verb choice between create_embeddings/create_moderation and generate_text/generate_image/generate_speech, but the pattern remains readable.
Ten tools is a well-scoped set for an OpenAI API wrapper, covering major modalities without obvious filler. Each tool maps to a recognizable OpenAI capability and earns its place.
The surface covers text generation, vision input, token counting, embeddings, moderation, image generation/editing, model listing, TTS, transcription, and translation. Minor gaps exist around other OpenAI API areas such as fine-tuning, files, or assistants, but core model-inference workflows are well covered.