Integration

Coqui TTS integration

Open-source deep learning toolkit for Text-to-Speech synthesis and voice cloning. Supports multiple languages, voice cloning with just 6 seconds of audio, and various high-quality TTS models including XTTS-v2. Can be self-hosted via the TTS server for API access.

Ask it in chat

Say what should happen.
The workflow builds itself.

When this happens, do that in Coqui TTS.Built from the 5 Coqui TTS tools below, on the connection you add once.

Common Coqui TTS use cases

  • MaryTTS client integration
  • Discover model locale
  • Migrate from OpenAI TTS API
  • Display voice picker interface
  • Generate voiceovers for videos
  • Integrate with MaryTTS clients
  • Replace MaryTTS server
  • List available speakers
  • Build language selector UI
  • Create audiobook narration

What you can do with Coqui TTS

Each of these is one operation on one endpoint, available both as a workflow step and as a tool an AI agent can call on its own. Nothing bundles several operations into one action, so what a run did stays readable afterwards.

Most endpoints run on the free plan. A few, mainly the ones that publish on your behalf, need a paid plan.

Audio, 3 operations

  • process_maryttsProcess maryttsGETMaryTTS-compatible endpoint for speech synthesis with voice selection.
  • synthesize_speechSynthesize speechGETConverts text to natural-sounding speech using Coqui TTS models with support for voice cloning and multiple languages.
  • synthesize_speech_openaiSynthesize speech openaiPOSTOpenAI-compatible endpoint for text-to-speech synthesis with configurable speed and output format.

Locale, 1 operation

  • get_localesGet localesGETRetrieves the locale of the currently loaded TTS model (MaryTTS-compatible).

Voice, 1 operation

  • get_voicesGet voicesGETRetrieves all available voices with their locale and gender information (MaryTTS-compatible).

Use Coqui TTS from Claude Code, Cursor or Codex

Connect Coqui TTS in LiveContext, create an API key in Settings, then add the LiveContext MCP server to your client. Its Coqui TTS operations become tools the client can call, next to every other integration you connected.

Claude Code
claude mcp add --transport http livecontext https://livecontext.ai/mcp --header "X-API-Key: YOUR_API_KEY"
Codex (~/.codex/config.toml)
[mcp_servers.livecontext]
url = "https://livecontext.ai/mcp"

[mcp_servers.livecontext.http_headers]
"X-API-Key" = "YOUR_API_KEY"
Cursor, Claude Desktop and other JSON configs
{
  "mcpServers": {
    "livecontext": {
      "type": "http",
      "url": "https://livecontext.ai/mcp",
      "headers": {
        "X-API-Key": "YOUR_API_KEY"
      }
    }
  }
}

Set up the MCP server step by step

How to connect Coqui TTS

  1. Create your workspace

    Sign up free. Nothing to install.

  2. Connect Coqui TTS once

    Add your Coqui TTS connection in Settings. Every tool from this integration reuses it, and secrets are encrypted at rest and visible only to you.

  3. Describe the job in chat

    The workflow builds itself in front of you and picks the endpoints it needs. Drag the steps yourself on the canvas whenever you would rather be explicit.

Coqui TTS integration FAQ

What can you do with the Coqui TTS integration?

LiveContext exposes 5 operations on Coqui TTS, covering audio, locale and voice. Common uses include MaryTTS client integration, Discover model locale and Migrate from OpenAI TTS API.

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