4,500+ servers built on MCP Fusion
Vinkius
NVIDIA Audio logo
Vinkius
Windsurf logo

How to Use the NVIDIA Audio MCP in Windsurf

NVIDIA Audio lets Windsurf transcribe, clone, and clean audio files directly inside your IDE workflow.

See Vinkius in Action

Works with every AI agent you already use

…and any MCP-compatible client

NVIDIA Audio MCP on Cursor AI Code Editor MCP Client NVIDIA Audio MCP on Claude Desktop App MCP Integration NVIDIA Audio MCP on OpenAI Agents SDK MCP Compatible NVIDIA Audio MCP on Visual Studio Code MCP Extension Client NVIDIA Audio MCP on GitHub Copilot AI Agent MCP Integration NVIDIA Audio MCP on Google Gemini AI MCP Integration NVIDIA Audio MCP on Lovable AI Development MCP Client NVIDIA Audio MCP on Mistral AI Agents MCP Compatible NVIDIA Audio MCP on Amazon AWS Bedrock MCP Support
MCP Servers - Free for Subscribers
Windsurf

Connect NVIDIA Audio MCP to Windsurf

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

GDPR Free for Subscribers

Transcribe and clean audio automatically

Cascade uses `speech_to_text` to turn raw audio into actionable logs. It handles multi-language inputs without you leaving the editor. Run `cancel_noise` when your source files are messy. It strips background interference so your agent gets a clean signal every time.

Clone voices and generate speech

Use `clone_voice` to create custom audio assets for your projects. Simply provide a reference file and let the model handle the heavy lifting. `text_to_speech` then converts your documentation into natural-sounding audio. It's a fast way to generate feedback loops for your apps.

Process and classify media files

Call `speaker_diarization` to map out who said what during long meetings. It identifies individual speakers so you don't have to listen to the whole recording. `classify_audio` labels sound types with confidence scores. This MCP Server helps you organize large media libraries without manual sorting.

Setup guide

Set up NVIDIA Audio 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 NVIDIA Audio 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 NVIDIA Audio payment history." If connected, Cascade will call the NVIDIA Audio tools directly. You will see a green dot next to the server name in the MCP panel.

mcp_config.json
{
  "mcpServers": {
    "nvidia-audio-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 NVIDIA. 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.

Why Choose Vinkius

Vinkius connects your tools to AI with real-time monitoring and automatic cost savings — all from one dashboard.

Real-time monitoring

Live

visibility into every interaction

Connect your favorite tools to your AI and see exactly what's happening — every request, every response, in real time.

Built-in savings

60%

lower AI costs

Vinkius compresses data between your apps and your AI automatically. Lower bills every month — no configuration required.

Single dashboard

One

place for every integration

Every tool your AI connects to, managed from a single screen. One account, complete control.

Common questions about NVIDIA Audio MCP in Windsurf

Open your MCP settings panel in the Cascade menu and add the server configuration. Once saved, the MCP Server auto-discovers all tools for immediate use.
Yes, you can trigger the transcription tools directly from your chat. It processes the URL you provide and returns the text to your active file.
It requires a public URL for processing. Upload your file to a secure bucket first, then pass that link to the tools.
Vinkius handles the connection to the NVIDIA API. We don't store your audio data after the request completes.
The server processes your audio stream and returns speaker segments. Your data remains ephemeral and is discarded by the host after the session.

Start using the NVIDIA Audio MCP today

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

Built & Managed by Vinkius 30s setup 10 tools

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

No hosting. No infrastructure. No complex setup.
All 10 tools are live and waiting. You're up and running in seconds.

Claude Claude
ChatGPT ChatGPT
Cursor Cursor
Gemini Gemini
Windsurf Windsurf
VS Code VS Code
JetBrains JetBrains
Vercel Vercel
+ other MCP clients

Vinkius gives your AI agents access to the full catalog of app connectors, all fully managed, secure, and enterprise-ready. One subscription, every tool you need.

Zero hosting required Full MCP catalog included Enterprise-grade security Auto-updated by Vinkius

Built, hosted, and secured by Vinkius. You just connect and go.