About Rev.ai MCP by usefulapi
Rev.ai MCP by usefulapi is a hosted server for running Rev.ai speech-to-text jobs from MCP clients. It lets clients submit jobs using a URL and retrieve transcripts, summaries, captions, and job details.
Key features
- 01Submit transcription jobs by URL
- 02List jobs and check their status
- 03Retrieve transcripts and summaries
- 04Retrieve captions
- 05View account and balance
Use cases
- 01Transcribe audio available at a URL
- 02Check the progress of transcription jobs
- 03Retrieve text, summaries, or captions from a job
MCP support
Exposes Rev.ai account, transcription job, transcript, summary, and caption tools to MCP clients. The hosted server connects using the user's Rev.ai credentials.
Configuration
Remote servers need no local install. Pick your client, then copy the config or install in one click.
https://rev-ai.usefulapi.io/mcpclaude mcp add --transport http io-usefulapi-rev-ai https://rev-ai.usefulapi.io/mcp{"mcpServers":{"io-usefulapi-rev-ai":{"type":"http","url":"https://rev-ai.usefulapi.io/mcp"}}}Open in Cursor{"servers":{"io-usefulapi-rev-ai":{"type":"http","url":"https://rev-ai.usefulapi.io/mcp"}}}Open in VS Code{"mcpServers":{"io-usefulapi-rev-ai":{"type":"http","url":"https://rev-ai.usefulapi.io/mcp"}}}{"mcpServers":{"io-usefulapi-rev-ai":{"serverUrl":"https://rev-ai.usefulapi.io/mcp"}}}Run commands in a terminal; paste JSON into the client’s MCP config and restart. Servers that need sign-in will prompt on first connect.
Tools
8This tool takes no parameters.
Details
From the project READMERev.ai MCP by usefulapi
Use Rev.ai from Claude, Cursor, or any MCP client — speech-to-text jobs, transcripts, summaries and captions. Hosted, no local install: connect with your own Rev.ai credentials.
Live endpoint: https://rev-ai.usefulapi.io/mcp · Homepage: https://usefulapi.io/rev-ai
Connect
- Claude (claude.ai, Desktop): open Customize → Connectors, click + Add → Add custom connector, and paste
https://rev-ai.usefulapi.io/mcp. - Claude Code:
claude mcp add --transport http rev-ai https://rev-ai.usefulapi.io/mcp, then run/mcpto log in. - VS Code: Add to VS Code.
- Cursor and other clients: add the URL as a remote MCP server:
{
"mcpServers": {
"rev-ai": {
"url": "https://rev-ai.usefulapi.io/mcp"
}
}
}
Add only the URL. Do not add an Authorization header or an API key to the client config: the server signs you in with OAuth, and the login page asks for your Rev.ai credentials.
Step-by-step setup, where to find your credentials, and FAQ: https://usefulapi.io/rev-ai/
Tools
| Tool | Type | What it does |
|---|---|---|
revai_get_account | read | Get account and balance |
revai_list_jobs | read | List transcription jobs |
revai_get_job | read | Get job status |
revai_submit_job | write | Submit transcription job |
revai_delete_job | write | Delete job |
revai_get_transcript | read | Get transcript |
revai_get_summary | read | Get transcript summary |
revai_get_captions | read | Get captions |
revai_usage_status | meta | Usage status (free-tier meter) |
revai_request_feature | meta | Request a missing feature |
revai_upgrade | meta | Upgrade to Pro (unlimited*) |
revai_cancel_subscription | meta | Cancel the Pro subscription |
read tools are read-only; write tools mutate data (clients should confirm them); meta tools report usage, manage your subscription or send a feature request.
Pricing
| Plan | Price | Limit |
|---|---|---|
| Free | $0 | 50 tool calls / month |
| Pro (per user) | $9/mo or $90/yr (2 months free) | Unlimited* |
*Pro has a fair use limit of 10,000 tool calls a month on this server. For more, write to [email protected].
Pro covers this server only. Subscribe with revai_upgrade (it returns a Stripe Checkout link). Cancel any time with revai_cancel_subscription: Pro continues to the end of the paid period, with no refund for the current period, and running revai_upgrade before then undoes the cancel. Or write to [email protected].
License
MIT © usefulapi. Not affiliated with or endorsed by Rev.ai.
Comments
New to MCP?
From what the protocol is to installing your first server, these answers cover most first questions.
An open protocol that defines how AI applications connect to external tools and data in a uniform way. Clients talk to the model; MCP servers provide tools, resources and prompt templates. They exchange standard messages, so one server can be reused by many clients.