How to Use the Speechnotes MCP in Cursor

Q: How can I get language codes for Speechnotes in Cursor?

Use listsupportedlanguages. The agent fetches the full list of supported language codes. This lets you build a dropdown selector or validation logic directly into your current code file.

Q: What is the best way to test Speechnotes connectivity in Cursor?

The easiest way is using testspeechnotesauth. This tool confirms the connection between your project and the MCP Server without needing a live audio file. It’s perfect for setup verification.

Q: If I need to export the transcript format, what function should Speechnotes use in Cursor?

Call gettranscriptionexport. This tells you exactly which formats are available for downloading results. You can then write code that correctly handles the file type needed by your end-user.

Q: How do I check Speechnotes usage statistics when writing code in Cursor?

Run getusagestatistics. The returned data allows you to calculate monthly costs or track resource consumption directly within the function that needs it. It keeps your context localized.

Write code that uses real Speechnotes data in Cursor's Agent Mode.

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Create your Vinkius account to connect Speechnotes to Cursor — we handle the hosting, security, and runtime updates so you don't have to. No server setup required.

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Setup Speechnotes with Cursor

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Get Real-Time Transcription Status

When you write code that needs to wait for transcription, use `get_transcription_status`. Your agent calls this tool and gets the live status—like 'processing' or 'completed.' This real data lets you build reliable async functions. It’s much better than mocking the result. You get accurate status codes, meaning your generated code handles both success states and failure states correctly.

Retrieve Usage Statistics from Speechnotes

Need to calculate costs or usage limits in your script? Run `get_usage_statistics`. The MCP Server returns detailed logs of how many jobs ran, what languages were used, and when. This lets you write financial logic directly into your codebase. You can also check the billing limit by calling `get_remaining_credits` before running any heavy transcription process.

Manage Transcription Jobs in Cursor

If a job failed, you don't want to leave the editor. Use `list_transcription_history` to pull up past jobs and find the details needed for debugging. You can also use `remove_transcription_job` if you need to delete old records from your data model. These tools give you immediate context, letting the AI write code that references specific job IDs or historical usage.

Setup guide

Set up Speechnotes 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 Speechnotes 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 Speechnotes transactions." If the MCP tools are loaded correctly, Cursor will call the Speechnotes tools automatically. You can also check Settings → MCP for a green status indicator.

.cursor/mcp.json

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

Get your connection token →

Independent Platform Disclaimer: Vinkius is an independent platform and is not affiliated with, endorsed by, sponsored by, verified by, or otherwise authorized by Speechnotes. All third-party trademarks, logos, and brand names are the property of their respective owners. Their use on this website is strictly for informational purposes to identify service compatibility and interoperability.

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Common questions about Speechnotes MCP in Cursor

Use `list_supported_languages`. The agent fetches the full list of supported language codes. This lets you build a dropdown selector or validation logic directly into your current code file.

The easiest way is using `test_speechnotes_auth`. This tool confirms the connection between your project and the MCP Server without needing a live audio file. It’s perfect for setup verification.

Call `get_transcription_export`. This tells you exactly which formats are available for downloading results. You can then write code that correctly handles the file type needed by your end-user.

Run `get_usage_statistics`. The returned data allows you to calculate monthly costs or track resource consumption directly within the function that needs it. It keeps your context localized.

The server manages metadata about audio files and transcription results. Specifically, it handles job IDs, usage statistics, language codes, model names, and the resulting plain text transcriptions.

Use it with your favorite AI tools

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

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