How to Use the Speechnotes MCP in VS Code Copilot

Q: How do I list supported languages for Speechnotes when using VS Code Copilot?

Run listsupportedlanguages. This gives the team a definitive, committed list of language codes. You can then use this data to validate user input across all project files.

Q: Can I delete old Speechnotes job records using VS Code Copilot?

Yes, removetranscriptionjob handles deletion. If a job was mistakenly recorded or needs purging for compliance, the agent can remove it by ID.

Q: How do I check Speechnotes remaining credits within VS Code Copilot?

Use getremainingcredits. This function keeps your team aware of budget constraints before any large-scale transcription runs, preventing unexpected billing issues.

Q: If we need to export the result format from Speechnotes using VS Code Copilot, what tool works?

Call gettranscriptionexport. This tells you all available formats for the final transcript. Your code can then generate file download links based on this information.

Standardize Speechnotes audio processing for your whole team with VS Code Copilot.

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Connect Speechnotes MCP to VS Code Copilot

Create your Vinkius account to connect Speechnotes to VS Code Copilot — we handle the hosting, security, and runtime updates so you don't have to. No server setup required.

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Setup Speechnotes with VS Code Copilot

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Run Speechnotes Transcription in Team Context

Need to initiate a transcription? Use `transcribe_audio_url` within the Copilot Agent. The tool takes the remote file URL and starts the job, adding the resulting job ID directly into your team's shared codebase. This ensures that every developer on the team uses the same, verified process for submitting audio files to Speechnotes.

Audit Transcription History via MCP Server

Teams need accountability. Run `list_transcription_history` to pull a comprehensive list of all past jobs and their parameters. This data populates your shared project documentation automatically, keeping everyone on the same page. Developers can also use `get_usage_statistics` to keep track of team spending limits within the repository's scope.

Validate Speechnotes Connection and Configuration

Before committing code, verify connectivity. Use `test_speechnotes_auth` to confirm the MCP Server is reachable from every developer machine. This prevents build errors later. For setup checks, you can use `list_supported_languages` to ensure your project's language requirements match what Speechnotes supports.

Setup guide

Set up Speechnotes 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 Speechnotes 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 Speechnotes tools listed. Try asking: "List my recent Speechnotes transactions" and Copilot will invoke them automatically.

.vscode/mcp.json

{
  "mcpServers": {
    "speechnotes-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 Speechnotes. 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 Speechnotes MCP in VS Code Copilot

Run `list_supported_languages`. This gives the team a definitive, committed list of language codes. You can then use this data to validate user input across all project files.

Yes, `remove_transcription_job` handles deletion. If a job was mistakenly recorded or needs purging for compliance, the agent can remove it by ID.

Use `get_remaining_credits`. This function keeps your team aware of budget constraints before any large-scale transcription runs, preventing unexpected billing issues.

Call `get_transcription_export`. This tells you all available formats for the final transcript. Your code can then generate file download links based on this information.

The server handles metadata about audio files and transcription results. Specifically, it touches job IDs, usage statistics, language codes, model names, and the resulting plain text transcriptions.

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