How to Use the Deepgram MCP in VS Code Copilot

Q: How do we list our active API keys?

Prompt the chat to pull your credentials. It runs listapikeys and displays the active keys associated with your current environment.

Share Deepgram MCP Server audio processing tools across your entire engineering team using VS Code Copilot.

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Connect Deepgram MCP to VS Code Copilot

Create your Vinkius account to connect Deepgram to VS Code Copilot 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 Deepgram with VS Code Copilot

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Deploy an MCP Server to your whole team

Commit your `.vscode/mcp.json` file to the repository and everyone gets instant access to the same capabilities. Your team can run `list_available_models` directly in their editor chat without any individual setup. Standardization prevents configuration drift across different developer machines. Every engineer queries the exact same endpoints and gets identical response structures.

Process test audio inside VS Code Copilot

Debugging transcription logic is easier when you have real data. Copilot uses `transcribe_audio_url` to fetch actual transcripts from your test files and feeds them into the conversation. Your agent reads the output and suggests the exact error handling code you need. You stop guessing what the API might return and start coding against hard facts.

Monitor usage and generate test speech

Keep your development costs in check by having Copilot run `get_project_usage`. Anyone on the team can verify the active `list_deepgram_projects` before kicking off a massive batch job. Need a quick audio file for a new feature? Tell the chat to execute `convert_text_to_speech` with your desired string. The file drops in, and you keep moving.

Setup guide

Set up Deepgram MCP in VS Code Copilot

Prerequisites

VS Code 1.99 or later with GitHub Copilot extension
Active Vinkius subscription with a valid endpoint token

1

Open MCP configuration

Open the Command Palette (Cmd+Shift+P / Ctrl+Shift+P) and run "MCP: Add Server". Select HTTP (Streamable) as the server type. VS Code will create .vscode/mcp.json in your workspace.
2

Add the Deepgram MCP

Paste the JSON snippet shown on the right into your .vscode/mcp.json. Replace [YOUR_TOKEN_HERE] with your endpoint token from cloud.vinkius.com.
3

Switch to Agent mode

Open Copilot Chat (Cmd+Shift+I / Ctrl+Shift+I) and switch to Agent mode using the dropdown. MCP tools are only available in Agent mode — they do not appear in Edit or Ask modes.
4

Verify the connection

In the Copilot Chat input, type # to list available tools. You should see the Deepgram tools listed. Try asking: "List my recent Deepgram transactions" and Copilot will invoke them automatically.

.vscode/mcp.json

{
  "mcpServers": {
    "deepgram-alternative-mcp": {
      "url": "https://edge.vinkius.com/[YOUR_TOKEN_HERE]/mcp"
    }
  }
}

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Independent Platform Disclaimer: Vinkius is an independent platform and is not affiliated with, endorsed by, sponsored by, verified by, or otherwise authorized by Deepgram. 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 Deepgram MCP in VS Code Copilot

Add the Vinkius endpoint to your shared workspace configuration file. Once committed, every developer on the project inherits the tools automatically.

Any developer can ask the chat to check the current limits. The agent calls the usage endpoint and prints the remaining balance right in the sidebar.

The integration works across all tiers as long as you are running version 1.96 or higher. Agent mode must be active to execute the commands.

Prompt the chat to pull your credentials. It runs list_api_keys and displays the active keys associated with your current environment.

Zero-trust architecture means your data stays isolated. The sandbox processes your media links and generated transcripts in a temporary environment that destroys itself after the request completes.

Use it with your favorite AI tools

Connect this server to Cursor, Claude, VS Code, and more.

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