@runapi.ai/elevenlabs-mcp
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TDQS
Scored across 5 tools
Each tool has a largely distinct purpose: login and check_pricing are unrelated to generation, get_task polls results, and the two creation tools differ by single- vs multi-speaker output. The main risk is text_to_speech vs text_to_dialogue, since both 'create a task' and an agent could pick the wrong one, but the descriptions make the distinction clear enough.
All names use snake_case, and most follow a verb_noun pattern (check_pricing, get_task). The exceptions are the bare verb 'login' and the noun-phrase style text_to_speech/text_to_dialogue, which read more like resource names than actions, but the set is still predictable and readable.
Five tools is a tight, focused surface for an ElevenLabs wrapper (auth, pricing, generation x2, task lookup). It is on the thin side but each tool clearly earns its place; no bloat.
Core generation, auth, and result polling are covered, but there is no list_tasks or cancel/delete operation, so once a task id is lost the agent has no way to recover or enumerate work. Voice/model listing and any voice-selection capability are also absent, which are natural parts of a text-to-speech domain.