Integration

Speechify integration

Text-to-speech platform for converting written content to natural audio. Generate voiceovers in multiple voices and languages, process documents and web content, and create accessible audio versions. Ideal for accessibility, content consumption, and audio content creation.

Connect Speechify How integrations work

Ask it in chat

Say what should happen.
The workflow builds itself.

When this happens, do that in Speechify.Built from the 9 Speechify tools below, on the connection you add once.

Common Speechify use cases

Display usage dashboard
Remove unwanted voice clones
Display voice picker interface
Preview voice before synthesis
Build responsive reading assistants
Show voice detail page with samples
Choose appropriate model for language
Create audiobooks with natural narration
Clone personal voice for content creation
Implement quota warnings

What you can do with Speechify

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.

Voice, 5 operations

clone_voiceClone voicePOSTCreates a custom AI voice clone from uploaded audio samples with consent verification.
delete_voiceDelete voiceDELETEPermanently removes a custom cloned voice and all associated training data.
get_voiceGet voiceGETFetches detailed information about a specific voice including characteristics, samples, and usage guidelines.
get_voice_sampleGet voice sampleGETDownloads a short audio sample clip for the specified voice, useful for previewing voice quality before synthesis.
list_voicesList voicesGETRetrieves all available Speechify voices with filtering by language and detailed voice characteristics.

Audio, 2 operations

synthesizeSynthesizePOSTConverts text to natural-sounding speech using Speechify's AI models with voice selection and audio quality controls.
synthesize_streamSynthesize streamPOSTStreams text-to-speech audio in real-time for low-latency playback in interactive applications.

Model, 1 operation

list_modelsList modelsGETRetrieves all available AI models for text-to-speech synthesis.

Usage, 1 operation

get_usageGet usageGETRetrieves current API usage metrics including character consumption, quotas, and billing period details.

Use Speechify from Claude Code, Cursor or Codex

Connect Speechify in LiveContext, create an API key in Settings, then add the LiveContext MCP server to your client. Its Speechify 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 Speechify

Create your workspace
Sign up free. Nothing to install.
Connect Speechify once
Add your Speechify connection in Settings. Every tool from this integration reuses it, and secrets are encrypted at rest and visible only to you.
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.

Speechify integration FAQ

What can you do with the Speechify integration?

LiveContext exposes 9 operations on Speechify, covering voice, audio, model and usage. Common uses include Display usage dashboard, Remove unwanted voice clones and Display voice picker interface.