Integration

Rev AI integration

Accurate speech-to-text and audio intelligence API. Transcribe audio and video with high accuracy, speaker diarization, and timestamps. Perfect for transcription services, meeting notes, and voice applications.

Ask it in chat

Say what should happen.
The workflow builds itself.

When this happens, do that in Rev AI.Built from the 19 Rev AI tools below, on the connection you add once.

Common Rev AI use cases

  • Data cleanup
  • Status check
  • Job management
  • History review
  • Privacy compliance
  • GDPR
  • Dashboard
  • Search indexing
  • Content tagging
  • Meeting summaries

What you can do with Rev 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.

Job, 4 operations

  • delete_jobDelete jobDELETEDeletes a transcription job and its data.
  • get_jobGet jobGETRetrieves transcription job status.
  • list_jobsList jobsGETLists all transcription jobs.
  • submit_transcription_jobSubmit transcription jobPOSTSubmits audio for asynchronous transcription.

Sentiment, 4 operations

  • delete_sentiment_jobDelete sentiment jobDELETEDeletes a completed sentiment analysis job and all associated data.
  • get_sentiment_resultGet sentiment resultGETRetrieves the results of a completed sentiment analysis job.
  • list_sentiment_jobsList sentiment jobsGETLists sentiment analysis jobs from the past 30 days with pagination.
  • submit_sentiment_analysisSubmit sentiment analysisPOSTAnalyzes sentiment in transcript text, returning positive/negative/neutral scores per segment.

Topic, 4 operations

  • delete_topic_jobDelete topic jobDELETEDeletes a completed topic extraction job and all associated data.
  • get_topic_resultGet topic resultGETRetrieves the results of a completed topic extraction job.
  • list_topic_jobsList topic jobsGETLists topic extraction jobs from the past 30 days with pagination.
  • submit_topic_extractionSubmit topic extractionPOSTExtracts topics and key phrases from transcript text, returning topic labels with relevance scores.

Vocabulary, 4 operations

  • create_custom_vocabularyCreate custom vocabularyPOSTCreates a custom vocabulary for domain-specific terms.
  • delete_vocabularyDelete vocabularyDELETEDeletes a completed custom vocabulary and its associated data.
  • get_vocabularyGet vocabularyGETRetrieves status and metadata of a specific custom vocabulary.
  • list_vocabulariesList vocabulariesGETLists custom vocabularies submitted in the last 30 days.

Account, 1 operation

  • get_accountGet accountGETRetrieves developer account information including remaining transcription credit balance.

Captions, 1 operation

  • get_captionsGet captionsGETRetrieves captions in SRT or VTT format for a completed transcription job.

Transcript, 1 operation

  • get_transcriptGet transcriptGETRetrieves the completed transcript.

Use Rev AI from Claude Code, Cursor or Codex

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

  1. Create your workspace

    Sign up free. Nothing to install.

  2. Connect Rev AI once

    Add your Rev AI 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.

Rev AI integration FAQ

What can you do with the Rev AI integration?

LiveContext exposes 19 operations on Rev AI, covering job, sentiment, topic and vocabulary. Common uses include Data cleanup, Status check and Job management.

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