Rev.ai Connector for AI agents.

19 live capabilities

Turn audio files into accurate transcripts and captions

Live agent request Rev.ai / Connector

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AI Agent

Why people use Rev.ai

Rev.ai for Automated Transcription and Captions

With this Connector, your AI agent handles the upload and the waiting. You just provide the file or a URL, and the agent takes care of the transcription. You get the final text, the summary, or the captions delivered straight to your chat. It turns hours of manual work into a few seconds of processing.

What Vinkius changes

You turn raw audio into usable text and summaries without leaving your AI chat.

Use it from Claude, ChatGPT, Cursor or another AI client you already have.

One account · 5,900+ Connectors

Real-world use case 01

Creating captions for a long podcast

A content creator asks their agent to turn a 60-minute podcast into captions.
Real-world use case 02

Summarizing a series of research interviews

A researcher provides 10 interview recordings.
Real-world use case 03

Extracting topics from focus group audio

A UX researcher wants to know what people are talking about.

Complete set · 19capabilities

The complete Rev.ai capability set.

These are the exact actions your AI can choose when you ask it to work with Rev.ai.

Capability set01 / 05

01—04

4 capabilities in this set.

Part of 19 available through Rev.ai.

01 Capability
Get captions
Get SRT or VTT caption files for a completed job. This makes it easy to add subtitles to your video content.
02 Capability
Get language id result
See the identified language and the confidence score for an audio file. This helps you know if the transcription is likely to be accurate.
03 Capability
Get sentiment analysis result
View sentiment scores for a transcript. This helps you understand the emotional tone of a conversation.
04 Capability
Get stt job
Check the current status and details of a transcription job. Use this to see if your file is still processing.

Capability set02 / 05

05—08

4 capabilities in this set.

Part of 19 available through Rev.ai.

05 Capability
Get topic extraction result
See the list of topics and scores from a job. This helps you quickly identify the main points of a recording.
06 Capability
List stt jobs
See all transcription jobs from the last 30 days. This helps you keep track of your recent work history.
07 Capability
List vocabularies
View your recent custom vocabulary lists. Use this to manage the terms you've submitted for better accuracy.
08 Capability
Submit language id job
Send a file to identify what language is being spoken. This is useful for processing multi-language content.

Capability set03 / 05

09—12

4 capabilities in this set.

Part of 19 available through Rev.ai.

09 Capability
Get transcript summary
Get a concise summary of a completed transcript. This saves you from having to read through the entire text.
10 Capability
Get transcript
Retrieve the full text of a completed job. This provides you with the complete written record of your audio.
11 Capability
Get vocabulary
Check the processing status of a custom vocabulary. Use this to see if your custom terms are ready.
12 Capability
Submit alignment job
Send audio and text for forced alignment. This matches specific words to timestamps in the audio.

Capability set04 / 05

13—16

4 capabilities in this set.

Part of 19 available through Rev.ai.

13 Capability
Submit sentiment analysis job
Send a transcript to get sentiment scores. This helps you analyze the mood of a conversation.
14 Capability
Submit stt job
Send a media file or URL to start the transcription process. This is the primary way to start a new job.
15 Capability
Submit topic extraction job
Send a transcript to pull out key topics. This helps you organize long recordings into themes.
16 Capability
Submit vocabulary
Submit a list of custom words to improve accuracy. Use this for technical terms or unique names.

Capability set05 / 05

17—19

3 capabilities in this set.

Part of 19 available through Rev.ai.

17 Capability
Delete stt job
Permanently remove a completed or failed transcription job. Use this to keep your history clean.
18 Capability
Delete vocabulary
Remove a custom vocabulary from your account. Use this when you no longer need specific custom terms.
19 Capability
Get alignment result
Get the aligned timestamps from a forced alignment job. This is useful for creating precise subtitles.

Set up in minutes

One URL. Then ask Rev.ai to work.

Claude and ChatGPT only need the Connector URL. Copy it once, add it in settings, and use Rev.ai from the conversation.

Choose your client

Live preview

Advanced clients IDE · CLI

Claude · Web + desktop

Official guide ↗

Connector URL · ready to paste

Streamable HTTP

https://edge.vinkius.com/vk_preview_8mAs5Sblbrb5mUGJJRfEyGyrwQy1HbvowtnIJANN/mcp

Step 01

Open Connectors

In Claude Web or Claude Desktop, open Settings and choose Connectors.
Step 02

Add the URL

Choose Add custom connector, name it Rev.ai, and paste the URL above.
Step 03

Turn it on in chat

Select +, open Connectors, and enable Rev.ai for the conversation.

ChatGPT · Web + desktop

Official guide ↗

Connector URL · ready to paste

Streamable HTTP

https://edge.vinkius.com/vk_preview_8mAs5Sblbrb5mUGJJRfEyGyrwQy1HbvowtnIJANN/mcp

Step 01

Open MCP settings

On desktop, open Settings and MCP servers. On web, open your workspace app or connector settings.
Step 02

Add the URL

Choose Add server with Streamable HTTP, or create a custom MCP app, then paste the Rev.ai URL.
Step 03

Save and start

Save the connection and enable Rev.ai in your conversation. Desktop may ask you to restart once.

Cursor · IDE configuration

Official guide ↗

Advanced setup

{
  "mcpServers": {
    "revai": {
      "url": "https://edge.vinkius.com/vk_preview_8mAs5Sblbrb5mUGJJRfEyGyrwQy1HbvowtnIJANN/mcp"
    }
  }
}

Step 01

Open MCP Settings

Press Cmd+Shift+P (macOS) or Ctrl+Shift+P (Windows/Linux) → search "MCP Settings"
Step 02

Add the server config

Paste the JSON configuration above into the mcp.json file that opens
Step 03

Save the file

Cursor will automatically detect the new Connector
Step 04

Start using Rev.ai

Open Agent mode in chat and ask: "Using Rev.ai, help me...". 19 tools available

VS Code Copilot · IDE configuration

Official guide ↗

Advanced setup

{
  "mcpServers": {
    "revai": {
      "url": "https://edge.vinkius.com/vk_preview_8mAs5Sblbrb5mUGJJRfEyGyrwQy1HbvowtnIJANN/mcp"
    }
  }
}

Step 01

Create MCP config

Create a .vscode/mcp.json file in your project root
Step 02

Add the server config

Paste the JSON configuration above
Step 03

Enable Agent mode

Open GitHub Copilot Chat and switch to Agent mode using the dropdown
Step 04

Start using Rev.ai

Ask Copilot: "Using Rev.ai, help me...". 19 tools available

Windsurf · IDE configuration

Official guide ↗

Advanced setup

{
  "mcpServers": {
    "revai": {
      "url": "https://edge.vinkius.com/vk_preview_8mAs5Sblbrb5mUGJJRfEyGyrwQy1HbvowtnIJANN/mcp"
    }
  }
}

Step 01

Open MCP Settings

Go to Settings → MCP Configuration or press Cmd+Shift+P and search "MCP"
Step 02

Add the server

Paste the JSON configuration above into mcp_config.json
Step 03

Save and reload

Windsurf will detect the new server automatically
Step 04

Start using Rev.ai

Open Cascade and ask: "Using Rev.ai, help me...". 19 tools available

Cline · IDE configuration

Official guide ↗

Advanced setup

{
  "mcpServers": {
    "revai": {
      "url": "https://edge.vinkius.com/vk_preview_8mAs5Sblbrb5mUGJJRfEyGyrwQy1HbvowtnIJANN/mcp"
    }
  }
}

Step 01

Open Cline MCP Settings

Click the Connectors icon in the Cline sidebar panel
Step 02

Add remote server

Click "Add Connector" and paste the configuration above
Step 03

Enable the server

Toggle the server switch to ON
Step 04

Start using Rev.ai

Ask Cline: "Using Rev.ai, help me...". 19 tools available

Claude Code · Terminal command

Official guide ↗

Advanced setup

claude mcp add revai --transport http "https://edge.vinkius.com/vk_preview_8mAs5Sblbrb5mUGJJRfEyGyrwQy1HbvowtnIJANN/mcp"

Step 01

Install Claude Code

Run npm install -g @anthropic-ai/claude-code if not already installed
Step 02

Add the Connector

Run the command above in your terminal
Step 03

Verify the connection

Run claude mcp to list connected servers, or type /mcp inside a session
Step 04

Start using Rev.ai

Ask Claude: "Using Rev.ai, show me...". 19 tools are ready

Where the request belongs

Work Rev.ai can move forward.

Built around the request

This is for anyone who deals with high volumes of audio content and needs to turn it into text quickly without manual typing. It's perfect for creators, researchers, and anyone who needs to organize spoken information.

01

Content Creator

Turns podcast audio into captions and social media posts on a Tuesday afternoon.

02

Journalist

Transcribes multiple interviews for a news story without having to type out every word.

03

Researcher

Extracts key topics and sentiment from hours of focus group recordings to find patterns.

04

Developer

Integrates professional-grade speech-to-text into a custom app to process voice notes.

Build the capability set

Each Connector adds new actions and data without changing how you work.

Browse Connectors

01 4 capabilities

3Scribe

Automated audio and video transcription. create jobs, monitor progress, and retrieve text via AI.

02 30 capabilities

Sonix

Automate transcription, translation, and media management via Sonix. transcribe audio/video, generate subtitles, and create AI summaries directly from any AI agent.

03 3 capabilities

Verbit

Automate professional transcription and captioning via Verbit. upload media, track job progress, and retrieve transcripts in multiple formats directly from your AI agent.

04 11 capabilities

Rev.com

Automate human-powered transcription via Rev.com. manage orders, captions, and file metadata with AI.

05 9 capabilities

Symbl.ai

Extract conversation intelligence from audio, video, and text. get summaries, action items, and topics directly from any AI agent.

06 3 capabilities

OneAI

Analyze text and media with OneAI Language Skills—summarize, extract entities, and transcribe audio directly through your AI agent.

Bring your own AI

Change the model, client or framework. Keep Rev.ai connected.

Before you connect

Questions about Rev.ai.

The practical details behind the request, access and result.

Can Rev.ai MCP transcribe my podcast recordings?

Yes, it can. You can provide the audio URL or file to your agent, and it will handle the transcription process for you.

How does Rev.ai MCP handle video captions?

It can generate SRT and VTT caption files for your video content. This makes it easy to add subtitles to your videos automatically.

Can I use Rev.ai MCP for sentiment analysis?

Yes, it can. Once a transcript is finished, you can ask your agent to analyze the sentiment to see the emotional tone of the conversation.

Does Rev.ai MCP support custom vocabulary for technical terms?

It does. You can submit a list of custom phrases or unique names to ensure the agent transcribes your specific jargon accurately.

Can Rev.ai MCP summarize long meetings?

Yes, it can provide a concise summary of a completed transcript. This helps you get the main points without reading the entire text.

Is Rev.ai MCP good for multi-language support?

Yes, it can identify the language of an audio file and provide transcriptions for various languages, making it great for global content.

Can I delete old jobs with Rev.ai MCP?

Yes, you can use the Connector to permanently remove completed or failed transcription jobs to keep your history organized.

How can I check if my transcription job is finished?

Use the get_stt_job capability with your Job ID. It will return the current status, such as 'in_progress', 'transcribed', or 'failed'.

Can I get subtitles for my video files?

Yes! Once a job is 'transcribed', use the get_captions capability. You can specify the format as either 'srt' or 'vtt'.

How do I improve accuracy for industry-specific jargon?

You can use the submit_vocabulary capability to provide a list of custom phrases. This helps the AI recognize technical terms and unique names more accurately.

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