Integration

Murf AI integration

AI voice generation platform for professional voiceovers and audio content. Clone voices, generate realistic speech in multiple languages, and create studio-quality audio. Perfect for e-learning, video production, advertising, and applications requiring human-like voice generation.

Connect Murf AI How integrations work

Ask it in chat

Say what should happen.
The workflow builds itself.

When this happens, do that in Murf AI.Built from the 4 Murf AI tools below, on the connection you add once.

Common Murf AI use cases

Create e-learning narration
Display voice selection interface
Build conversational AI voice assistants
Generate multiple course lesson narrations
Create video series voice-overs
Real-time dubbing and translation
Generate explainer video voice-overs
Filter voices for specific language projects
Produce audiobook content
Preview voice characteristics

What you can do with Murf AI

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.

Speech, 3 operations

create_speechCreate speechPOSTConverts text to high-quality speech with granular control over voice style, speed, pitch, and audio format.
create_speech_batchCreate speech batchPOSTGenerates multiple speech audio files from an array of texts in a single request for efficient bulk processing.
create_speech_streamCreate speech streamPOSTStreams synthesized speech with ultra-low latency for real-time applications. Uses FALCON model by default for <130ms first-audio delivery.

Voice, 1 operation

list_voicesList voicesGETRetrieves all available Murf AI voices with filtering options for language and gender preferences.

Use Murf AI from Claude Code, Cursor or Codex

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

Create your workspace
Sign up free. Nothing to install.
Connect Murf AI once
Add your Murf AI 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.

Murf AI integration FAQ

What can you do with the Murf AI integration?

LiveContext exposes 4 operations on Murf AI, covering speech and voice. Common uses include Create e-learning narration, Display voice selection interface and Build conversational AI voice assistants.