How to Use the Verbit MCP in Cursor

Q: How do I implement Verbit in my Cursor project?

You add the MCP Server to your .cursor/mcp.json file. Once configured, your agent can access createjob, getjob, and gettranscript directly within your coding context.

Q: Can I track a job status using Verbit and Cursor?

Yes, absolutely. Use getjob in your code block. Your agent will structure the call so you get immediate feedback on whether the transcript is still processing or if it's ready to download.

Q: Does Verbit support various media inputs?

The createjob tool accepts uploaded media files for transcription. Check your API docs for supported formats, but generally, common video/audio types work fine.

Q: Where do I get the final transcript data from Verbit in Cursor?

Use gettranscript. This tool fetches the completed captioning file content. You can then treat that output like any other variable or API response in your code.

Inject live Verbit transcription data into your code flow using Cursor.

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Connect Verbit MCP to Cursor

Create your Vinkius account to connect Verbit to Cursor and route execution through our secure gateway. The platform manages server hosting, runtime updates, and security layers. Configuration requires no manual server provisioning.

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Setup Verbit with Cursor

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Claude

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Initiate Transcription Jobs

Need to process a media file before writing the final API call? Use `create_job`. Your agent calls this tool, takes the media path as input, and gets back a job ID. This setup lets you write code that *schedules* data processing, rather than just assuming it's ready.

Poll Job Status in Code

You can’t wait indefinitely while coding. The `get_job` tool lets your AI generate the necessary code to check Verbit's status using that job ID. Your agent writes a loop or an async call that repeatedly pings the MCP Server until the result is ready.

Fetch Transcripts for Variables

When the transcription is done, you need the data immediately. The `get_transcript` tool pulls the finished file content into a usable string or variable. This live API response means your code uses real captioning text—not mock stubs.

Setup guide

Set up Verbit MCP in Cursor

Prerequisites

Cursor installed (macOS, Windows, or Linux)
Active Vinkius subscription with a valid endpoint token

1

Open MCP Settings

Go to Cursor Settings → MCP or open the Command Palette (Cmd+Shift+P / Ctrl+Shift+P) and search for "MCP: Add Server".
2

Add the Verbit MCP

Cursor will create or open .cursor/mcp.json in your project root. Paste the JSON snippet on the right. Replace [YOUR_TOKEN_HERE] with your endpoint token from cloud.vinkius.com.
3

Enable Agent mode

Open Composer (Cmd+I / Ctrl+I) and switch to Agent mode using the dropdown at the top. MCP tools are only available in Agent mode.
4

Verify the connection

Ask Cursor something like "List my recent Verbit transactions." If the MCP tools are loaded correctly, Cursor will call the Verbit tools automatically. You can also check Settings → MCP for a green status indicator.

.cursor/mcp.json

{
  "mcpServers": {
    "verbit-mcp": {
      "url": "https://edge.vinkius.com/[YOUR_TOKEN_HERE]/mcp"
    }
  }
}

Get your connection token →

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Common questions about Verbit MCP in Cursor

You add the MCP Server to your `.cursor/mcp.json` file. Once configured, your agent can access `create_job`, `get_job`, and `get_transcript` directly within your coding context.

Verbit handles the media files you upload for transcription and outputs formatted text transcripts. This means it's dealing with raw audio/video streams and processed textual data.

Yes, absolutely. Use `get_job` in your code block. Your agent will structure the call so you get immediate feedback on whether the transcript is still processing or if it's ready to download.

The `create_job` tool accepts uploaded media files for transcription. Check your API docs for supported formats, but generally, common video/audio types work fine.

Use `get_transcript`. This tool fetches the completed captioning file content. You can then treat that output like any other variable or API response in your code.

Use it with your favorite AI tools

Connect this server to Cursor, Claude, VS Code, and more.

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