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

Q: How do I connect Gladia (Speech AI) to Cline?

You configure the MCP Server in your clinemcpsettings.json file. Cline automatically discovers the tools and lets you prompt the agent to transcribe audio files.

Q: Can Cline handle live audio using Gladia (Speech AI)?

Yes, Cline runs initlivesession to open a live WebSocket connection. This lets your agent capture real-time speech and feed it directly into your active coding files.

Q: How does the Gladia (Speech AI) MCP Server help Cline write transcription features?

Cline uses gettranscription to fetch raw JSON payloads from Gladia. It then writes custom parser code in your project to display the speaker diarization and timestamps.

Give Cline the power to transcribe audio files and manage live speech sessions directly inside your VS Code workspace.

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Connect Gladia (Speech AI) MCP to Cline

Create your Vinkius account to connect Gladia (Speech AI) to Cline 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 Gladia (Speech AI) with Cline

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End-to-End Audio Ingestion with Cline using MCP

`upload_audio_file` sends your local media assets straight to the Gladia API via this MCP server. Your agent selects the correct file from your repository and uploads it without manual intervention. Once uploaded, Cline immediately triggers `init_transcription` to convert the speech into structured text. Your agent then writes the output directly into a new markdown file in your workspace.

Live Speech Processing via WebSocket Connection

`init_live_session` establishes a persistent WebSocket connection to capture live audio feeds directly inside VS Code. Cline utilizes the session parameters to hook into active audio inputs for real-time transcription. The agent processes incoming text frames on the fly, letting you build live captioning components or voice-controlled features. You see the code and the live text update together in the editor.

Automated Transcription History Cleanup

`list_transcriptions` retrieves your list of previous speech-to-text jobs so Cline can audit your remote assets. The agent checks this list to find completed tasks or locate missing transcription files. When old assets are no longer required, Cline invokes `delete_transcription` to remove them from the Gladia cloud. This MCP tool keeps your storage footprint small and prevents unnecessary resource accumulation.

Setup guide

Set up Gladia (Speech AI) MCP in Cline

Prerequisites

VS Code with Cline extension installed
Active Vinkius subscription with a valid endpoint token

1

Open Cline MCP settings

Click the Cline icon in the VS Code sidebar to open the Cline panel. Then click the MCP Servers icon (server stack) at the top-right corner of the panel.
2

Add a remote server

Click "Remote Servers" at the top, then click "Add Remote MCP". In the Name field, type gladia-speech-ai-mcp. In the URL field, paste your Vinkius endpoint: https://edge.vinkius.com/[YOUR_TOKEN_HERE]/mcp. Get your token from cloud.vinkius.com.
3

Enable the server

After saving, the server appears in the Cline MCP panel. Toggle the switch to enable it. The status indicator turns green when the connection is live.
4

Start using tools

Return to the Cline chat and ask: "Check my latest Gladia (Speech AI) refund status." Cline will discover the available tools and request your approval before invoking each one — giving you full control over every action.

Cline MCP Settings

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

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Common questions about Gladia (Speech AI) MCP in Cline

You configure the MCP Server in your `cline_mcp_settings.json` file. Cline automatically discovers the tools and lets you prompt the agent to transcribe audio files.

Yes, Cline runs `init_live_session` to open a live WebSocket connection. This lets your agent capture real-time speech and feed it directly into your active coding files.

Cline uses `get_transcription` to fetch raw JSON payloads from Gladia. It then writes custom parser code in your project to display the speaker diarization and timestamps.

Cline detects the failure, checks your local audio file format, and retries `upload_audio_file`. It handles the entire retry loop without needing you to run manual terminal commands.

Your audio files are processed over encrypted HTTPS links during transit. Cline only accesses the resulting text transcripts to write files locally, and you can purge remote files anytime using `delete_transcription`.

Use it with your favorite AI tools

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