ElevenLabs MCP
Give your AI agents governed voice: speak, dub, and run conversations via ElevenLabs.
A Model Context Protocol integration lets autonomous agents use ElevenLabs as a voice tool, synthesizing speech, cloning and selecting voices, dubbing media, and driving conversational voice agents through a governed interface. EGGKNITE builds these connections so your agents can produce and act on audio inside your stack, with cost and safety guardrails production requires.
Agents turn text into speech in a chosen voice and language, returning audio for content, notifications, or replies.
Agents list, select, and configure voices and models to match the brand and context of each task.
Agents run ElevenLabs dubbing to translate and revoice existing audio and video into new languages.
Voice cloning, outbound calls, and spend-heavy jobs pass through human approval, with usage fully logged.
An agent takes approved scripts, generates narration in your brand voice, and publishes audio to your CMS and channels on a schedule.
An agent detects new-market content, dubs it into target languages via ElevenLabs, and routes results for review before release.
An agent provisions and updates ElevenLabs conversational agents, syncs their knowledge from your CRM, and reports call outcomes back to pipeline.
Cloning, outbound calling, and large synthesis jobs require human approval, and we enforce character and spend limits with full logging on every call.
We build model-agnostic and default to Claude for reasoning, calling ElevenLabs as a voice tool through MCP inside your own cloud.
Yes. The connection, prompts, and configuration are yours, running in your infrastructure against your ElevenLabs account and documented for your team.
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