Rev.ai MCP, Ready to Go
Use Rev.ai MCP with Claude or Cursor to turn audio into text. Automate transcriptions, summaries, and captions for your media content.
No credit card required. Experience the power of this integration risk-free.
Turn audio files into accurate transcripts and captions
Works with every AI agent you already use
…and any MCP-compatible client
How fast is the Rev.ai Connector?
Average time for the server to become ready for requests over the last 14 days, measured until the initialize / tools/list handshake completes. Metrics are updated daily between 00:00 and 04:00 UTC. Create a free account, use this Connector on Vinkius Cloud, and connect it to your AI agent in seconds.
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What AI agents can do with Rev.ai MCP: 19 Tools for Transcription and Captions
Use these tools to submit media, get transcripts, generate summaries, and manage your transcription history.
Get captions
Get SRT or VTT caption files for a completed job. This makes it easy to add subtitles to your video content.
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.
Get sentiment analysis result
View sentiment scores for a transcript. This helps you understand the emotional tone of a conversation.
Get stt job
Check the current status and details of a transcription job. Use this to see if your file is still processing.
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.
Get transcript summary
Get a concise summary of a completed transcript. This saves you from having to read through the entire text.
Get transcript
Retrieve the full text of a completed job. This provides you with the complete written record of your audio.
Get vocabulary
Check the processing status of a custom vocabulary. Use this to see if your custom terms are ready.
List stt jobs
See all transcription jobs from the last 30 days. This helps you keep track of your recent work history.
List vocabularies
View your recent custom vocabulary lists. Use this to manage the terms you've submitted for better accuracy.
Submit alignment job
Send audio and text for forced alignment. This matches specific words to timestamps in the audio.
Submit language id job
Send a file to identify what language is being spoken. This is useful for processing multi-language content.
Submit sentiment analysis job
Send a transcript to get sentiment scores. This helps you analyze the mood of a conversation.
Submit stt job
Send a media file or URL to start the transcription process. This is the primary way to start a new job.
Submit topic extraction job
Send a transcript to pull out key topics. This helps you organize long recordings into themes.
Submit vocabulary
Submit a list of custom words to improve accuracy. Use this for technical terms or unique names.
Delete stt job
Permanently remove a completed or failed transcription job. Use this to keep your history clean.
Delete vocabulary
Remove a custom vocabulary from your account. Use this when you no longer need specific custom terms.
Get alignment result
Get the aligned timestamps from a forced alignment job. This is useful for creating precise subtitles.
A Connector is a URL. Vinkius runs it: hosting, security, governance, observability.
You're looking at one of 5,800+ managed Connectors. The real value isn't the catalog. It's the control plane that secures, governs, audits, and manages every interaction between your agents and the tools they use.
No Shadow AI
Every agent action is visible, approved, and auditable. Nothing runs outside your governance.
Absolute agent control
Fine-grained permissions for every agent, MCP, and tool. Instantly revoke access and audit every execution.
Cost control per token
Spend broken down to the token, tool, and agent. Budgets and hard limits. No surprise invoices.
Managed & monitored infra
We operate the runtime, authentication, scaling, retries, and monitoring. Your team manages AI, not infrastructure.
Data protection, DLP by design
Sensitive data is filtered before reaching the model. Access is governed so agents receive only the information they're allowed to use.
Token optimization, real savings
Lower AI costs by delivering the right context instead of unnecessary tools. Better accuracy, faster responses, and fewer wasted tokens.
Rev.ai MCP for Automated Transcription and Captions
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.
Content Creator
Turns podcast audio into captions and social media posts on a Tuesday afternoon.
Journalist
Transcribes multiple interviews for a news story without having to type out every word.
Researcher
Extracts key topics and sentiment from hours of focus group recordings to find patterns.
Developer
Integrates professional-grade speech-to-text into a custom app to process voice notes.
Frequently Asked Questions
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 tool 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 tool. 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 tool to provide a list of custom phrases. This helps the AI recognize technical terms and unique names more accurately.
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