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Connect Gladia Speech AI to ChatGPT, Claude and Gemini

Set it up once and it works in ChatGPT, Claude, Cursor, and any other client you love. It all runs safely in the background, so you can relax and focus on what really matters. Turn any audio into structured text and insights.

Ask AI about this Connector

Developed, maintained, and hosted by Vinkius.

MCP VERIFIED · PRODUCTION READY · VINKIUS GUARANTEED

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Works with modern AI clients that support MCP, including ChatGPT, Claude, Cursor, and more.

ChatGPTClaudeCursorPerplexityGeminiMicrosoft CopilotRaycastMeta AI

Your AI does the work. We keep it safe and sound.

No other AI tool gives you this. Your workflow runs in the client you already love, your account stays protected, and you decide what the agent can and cannot do. It is the whole reason to make the switch.

Each Connector lives inside our infrastructure, the same place where your workflow runs. The three things below are already part of it, working quietly in the background so you never have to think about them. Nothing to add, nothing to set up, nothing to worry about.

A futuristic MCP client docking bay
V8 Isolate01

Each Connector runs inside its own sealed environment.

Each Connector runs inside its own sealed V8 runtime — no access to your files, your system, or other servers. A Connector never sees past its own request.

Kill Switch02

One switch stops every agent. Instantly.

One action deactivates every Connector, revokes every token, and ends every session at once. AI Governance keeps the record.

FinOps per User03

Spending limits that pause instead of surprise.

Every user keeps their own connections and credentials, isolated from everyone else. Anything that would cross your spending limit is held for your approval, not billed.

Three controls, built into the layer your AI connects through.

Curated set · 6 capabilities

We ship only the actions that matter.

Capability set01 / 02

01-03

3 capabilities in this set.

Part of 6 available through Gladia.

  1. 01

    Delete transcription

    This capability removes a specific transcription job from your history.

  2. 02

    Upload audio file

    Use this to send an audio file to Gladia for processing.

  3. 03

    Get transcription

    This capability checks the current status and retrieves the final results of a transcription job.

Capability set02 / 02

04-06

3 capabilities in this set.

Part of 6 available through Gladia.

  1. 04

    Init live session

    This capability starts a secure WebSocket session for real-time transcription of live audio.

  2. 05

    Init transcription

    Use this to kick off a transcription job for a pre-recorded audio file.

  3. 06

    List transcriptions

    This capability pulls up a list of your previous pre-recorded transcription jobs.

Real work

What teams actually run

01

Meeting Intelligence

Analyze recorded meetings to automatically pull out key decisions and speaker insights.

02

Podcast Production

Turn audio recordings into written transcripts and summaries for show notes.

03

Live Broadcast Transcription

Use live streaming capabilities to provide real-time text for ongoing broadcasts.

04

Data Extraction

Apply custom prompts to audio to turn spoken conversations into structured data.

Automate a task

Put Gladia to work on one thing.

Step-by-step automations your AI runs through this Connector: the workflow, the prompts to start with, and the exact capabilities behind each move.

One connector, every AI

Gladia works with the most popular AI clients.

These are the most popular clients, each with a step-by-step guide: one link, set up once, with governance and visibility built in. And because everything runs on the MCP standard, the same connection also works in any other compatible client — nothing to rebuild.

ClaudeClaudeChatGPTChatGPTGeminiGeminiPerplexityPerplexityGrokGrokMicrosoft CopilotMicrosoft CopilotCursorCursorVS CodeVS CodeWindsurfWindsurfJetBrainsJetBrainsClineClineLangChainLangChainVercel AI SDKVercel AI SDKLovableLovableZ.aiZ.aiRaycastRaycastQwen CodeQwen CodeKimi CodeKimi CodeLe ChatLe Chat

Building your own app? The connector is yours to use.

You don't need a client to put Gladia to work: the same hosted connection plugs into your own applications and agent code, with the same governance on every request. Build with it, chat with it — one connection for both.

Observed, not estimated

1042ms average. Fast in production.

Gladia is checked daily against the live service.

Daily averagePeak 1225ms
Oct 3Today
Fastest day
806ms
Slowest day
1225ms
14-day trend
Slowing+15%

Connect your client

One URL. Every client.

Activate the Connector, copy your link, and paste it into the client you already use. 6 capabilities arrive ready to run.

Preview access · not provider authentication

The vk_preview_* token belongs to Vinkius preview infrastructure. It lets Claude discover and display the capabilities of Gladia, so you can see the experience inside your AI.

It does not authenticate your account with Gladia. Actions requiring credentials or live account data may not run until you activate the Connector and authorize the service.

Gladia Connector

You're all set. Choose your MCP client and follow the setup instructions.

Connector linkhttps://edge.vinkius.com/vk_preview_Mlof2j7bPYQVQhjc09PLZ5CRBzJpOTb01WKt4ly7/mcp

Claude Desktop

Follow the steps below to connect in seconds.

  1. 1In Claude Desktop, open Settings → Connectors.
  2. 2Click “Add custom connector” and paste the connector link above as the remote MCP server URL.
  3. 3Click Add and start a new chat — Gladia capabilities are ready to use.
Configuration · claude_desktop_config.jsonCopy
{
  "mcpServers": {
    "gladia-speech-ai-mcp": {
      "url": "https://edge.vinkius.com/vk_preview_Mlof2j7bPYQVQhjc09PLZ5CRBzJpOTb01WKt4ly7/mcp"
    }
  }
}
  • Claude
  • ChatGPT
  • Cursor
  • VS Code
  • Windsurf
  • Claude Code
  • JetBrains
  • Cline

Step-by-step instructions for each client are in the guide. How to connect

Guided setup for Claude? Set up Gladia in Claude and other AIs

See all the AI clients this connector works with ↑

Who it's for

Built for the work Gladia owners hand off.

This MCP is for anyone who needs to convert spoken words into actionable digital data.

  • 01

    Developers

    Building speech-to-text workflows into applications without writing custom API logic.

  • 02

    Content Creators

    Generating transcripts and translations for podcasts or video content.

  • 03

    Business Teams

    Extracting action items and speaker insights from recorded meetings.

FAQ

Questions Gladia owners ask.

  • 01

    How do I use Gladia with Claude?

    You connect the Gladia MCP to Claude through the Vinkius platform. Once connected, you can ask Claude to transcribe files or start live sessions.

  • 02

    Can this MCP handle live audio?

    Yes. You can use the init_live_session capability to start a secure WebSocket session for real-time transcription.

  • 03

    Does it support multiple languages?

    Yes, the MCP supports translation for over 100 different languages.

  • 04

    Can I identify who is speaking in a recording?

    Yes, the transcription process includes speaker diarization to distinguish between different speakers.

  • 05

    Do I need to host the transcription service myself?

    No. Vinkius hosts the MCP and manages the connection, so it is ready to use immediately after you add your API key.

  • 06

    How do I check the status of a transcription job I just started?

    Use the get_transcription capability with the Job ID. It will return the current status (queued, processing, done, or error) and the results if completed.

  • 07

    Can I automatically identify different speakers in a recording?

    Yes! When using init_transcription, set the diarization parameter to true. The AI will then distinguish between different voices in the transcript.

  • 08

    How do I handle a local audio file that isn't online yet?

    First, use the upload_audio_file capability by providing the base64 data and filename. This will give you an audio_url that you can then pass to init_transcription.

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