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Vinkius runs on Windsurf

How to Use the Speechnotes MCP in Windsurf

Speechnotes for Windsurf: Automatically process audio transcripts and manage job pipelines without manual steps.

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MCP Servers — Included with Plan
Vinkius runs on Windsurf

Connect Speechnotes MCP to Windsurf

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

GDPR Included with Plan

Key Capabilities

Run Transcriptions from Remote URLs

Need to transcribe a file hosted elsewhere? You just pass the URL, and `transcribe_audio_url` handles the rest. This is perfect for pipelines where your source data lives outside Speechnotes. It’s fast and reliable. The MCP Server manages the job lifecycle from start to finish, so you don't have to worry about local file handling.

Check Job Status and History

You can track what Speechnotes is doing with `get_transcription_status`. This function tells you exactly where a job stands, whether it’s queuing or done. Want to audit past runs? Use `list_transcription_history` to pull up records of every transcription job you've ever run. It keeps your operations visible.

Secure Webhook Management

Set up a webhook and let Speechnotes push results to your system automatically. `list_configured_webhooks` shows all active delivery endpoints. Security is key here: Always use the `generate_webhook_signature` tool. It verifies that incoming payloads actually came from Speechnotes, not some random bad actor.

Setup guide

Set up Speechnotes MCP in Windsurf

Prerequisites

  • Windsurf IDE installed (macOS, Windows, or Linux)
  • Active Vinkius subscription with a valid endpoint token
  1. 1

    Open MCP configuration

    Click the Cascade assistant icon in the sidebar, then click the hammer icon (🔨) at the top of the panel. Select "Configure" to open ~/.codeium/windsurf/mcp_config.json.

  2. 2

    Add the Speechnotes MCP

    Paste the JSON snippet shown on the right into the mcpServers object. Replace [YOUR_TOKEN_HERE] with your endpoint token from cloud.vinkius.com.

  3. 3

    Refresh MCPs

    Go back to the hammer icon (🔨) in Cascade and click "Refresh". Windsurf will detect the new server. No full restart is needed — the connection is hot-reloaded.

  4. 4

    Verify in Cascade

    Start a new Cascade conversation and ask something like "Show my Speechnotes payment history." If connected, Cascade will call the Speechnotes tools directly. You will see a green dot next to the server name in the MCP panel.

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

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 Windsurf

Run the `test_speechnotes_auth` tool. It gives you an immediate pass/fail on your current MCP Server setup, so you know right away if authentication is good to go.
You simply call `list_supported_languages`. The tool returns a definitive list of all the language codes that the Speechnotes MCP Server can handle for transcription.
Use `get_usage_statistics` to pull detailed logs on what resources you're consuming. You can also run `get_remaining_credits` to see exactly how many credits you have left for the MCP Server.
Yep. If you need to kill a running process, use `remove_transcription_job`. It's a clean way to delete the record and stop processing immediately.
The `get_transcription_export` tool handles this. You run it after a job is complete, and it gives you the result in the format your downstream systems need.

Start using the Speechnotes MCP today

We host it, we monitor it, we maintain it. You just paste one token.

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We've already built the connector for Speechnotes. Just plug in your AI agents and start using Vinkius.

No hosting. No infrastructure. No complex setup.
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