How to Use the Ebby MCP in VS Code Copilot

Q: Can VS Code Copilot help my team audit Ebby API usage?

Yes, it can. The MCP Server calls quicktranscriptionvolumeaudit to show your team exactly how many files are processing and how fast.

Q: How does VS Code Copilot get raw text from my Ebby files?

The agent uses gettranscriptiontext to pull the completed transcript directly into your active editor window for testing.

Q: Can we track pending transcription jobs?

Yes, the agent runs listinprogresstranscriptions to monitor files currently in the queue. This keeps your team informed about active processing times.

Share Ebby transcription tools with your entire engineering team directly inside VS Code Copilot.

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Connect Ebby MCP to VS Code Copilot

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

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Query the Ebby MCP Server across your entire team

`list_audio_transcriptions` lets any developer on your team search and view your organization's entire transcription history right inside VS Code Copilot. By committing the configuration to your repository, everyone gets instant access to the same dataset. Your team can run `list_successfully_processed_audio` to find completed files and collaborate on parsing scripts. This prevents duplicate API calls and keeps everyone aligned on the same codebase.

Audit processing volume inside your workspace

`quick_transcription_volume_audit` allows VS Code Copilot to pull high-level metrics on your active transcription queues. Your team can quickly identify bottlenecks or spikes in transcription usage without needing administrative access to the main dashboard. If a job is taking too long, the agent runs `get_transcription_details` to inspect the exact settings and processing state. This gives your engineers immediate visibility into system performance.

Map speaker profiles inside your editor

`list_transcription_speakers` retrieves identified speaker profiles, allowing VS Code Copilot to generate accurate data models for your team's application. You can write database schemas that perfectly match the API's speaker output structure. You can also use `get_transcription_text` to verify how speaker boundaries are represented in the raw output. This ensures your parser handles multi-speaker dialogues correctly via the Ebby MCP Server.

Setup guide

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

.vscode/mcp.json

{
  "mcpServers": {
    "ebby-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 Ebby. 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 Ebby MCP in VS Code Copilot

You commit a shared configuration file to your git repository. This lets every developer on the team use tools like list_audio_transcriptions instantly.

Yes, it can. The MCP Server calls quick_transcription_volume_audit to show your team exactly how many files are processing and how fast.

The agent uses get_transcription_text to pull the completed transcript directly into your active editor window for testing.

Yes, the agent runs list_in_progress_transcriptions to monitor files currently in the queue. This keeps your team informed about active processing times.

All speaker profiles and transcripts are handled through a secure, isolated sandbox. The connection uses single-token authorization, ensuring your corporate audio data never leaks to third parties.

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