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How to Use the Gladia (Speech AI) MCP in Windsurf

Feed audio files directly to Cascade in Windsurf to transcribe, translate, and analyze audio files dynamically.

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Windsurf

Connect Gladia (Speech AI) MCP to Windsurf

Create your Vinkius account to connect Gladia (Speech AI) 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.

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Automating Audio Pipeline Tasks via Windsurf

`upload_audio_file` sends raw audio to Gladia, letting Cascade process audio files directly from your workspace using this MCP server. This tool accepts your local media and transfers it to the secure cloud environment instantly. Cascade chains this file transfer with `init_transcription` to kick off the speech-to-text pipeline without asking you for manual confirmation. You get your raw text output in seconds rather than waiting on manual API scripts.

Real-Time Speech Streaming in Cascade

`init_live_session` spins up a WebSocket connection to stream live audio directly into your Windsurf workspace. Cascade uses this connection to capture active conversations or live audio feeds as they happen. You receive live text tokens back, which Cascade can immediately write into your open editors. This removes the manual copy-pasting step from your meeting summary workflows.

Managing Transcription History Dynamically

`list_transcriptions` pulls your entire history of audio jobs directly into the Windsurf context window. Cascade checks this index to find specific past files without forcing you to log into a separate web dashboard. If a run is no longer needed, Cascade runs `delete_transcription` to purge the data and keep your billing clean. This MCP integration automatically cross-references your current workspace files to decide what to prune.

Setup guide

Set up Gladia (Speech AI) 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 Gladia (Speech AI) 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 Gladia (Speech AI) payment history." If connected, Cascade will call the Gladia (Speech AI) tools directly. You will see a green dot next to the server name in the MCP panel.

mcp_config.json
{
  "mcpServers": {
    "gladia-speech-ai-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 Gladia. 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 Gladia (Speech AI) MCP in Windsurf

Cascade uses the Gladia (Speech AI) MCP server to read, process, and transcribe audio files directly within your IDE. It runs tasks like file uploads and real-time session management autonomously.
Yes, Cascade connects to WebSockets using `init_live_session` to handle live audio feeds. This allows the agent to process ongoing speech and write the text straight to your workspace.
No, you set your Gladia token once in the `mcp_config.json` file inside Windsurf. Cascade handles all authentication behind the scenes for every tool execution.
Cascade triggers `init_transcription` and then periodically runs `get_transcription` to check the status. It waits until the job completes before writing the final markdown file to your project.
Your audio files go to Gladia's secure servers for processing, and you can run `delete_transcription` to remove them. Windsurf keeps all transcript data local to your workspace.

Start using the Gladia (Speech AI) MCP today

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