How to Use the AssemblyAI MCP in VS Code Copilot

Q: How do I share the AssemblyAI MCP Server configuration with my team in VS Code Copilot?

You can commit a .vscode/mcp.json file to your Git repository. This file defines the server under the mcpServers key, allowing every developer on your team to access the audio tools once they open the workspace.

Q: Can VS Code Copilot identify different speakers using AssemblyAI?

Yes, the agent can call getspeakers to retrieve a list of dialogue blocks mapped to specific individuals. This makes it easy to format conversational transcripts directly in your editor.

Q: How do I check the status of my AssemblyAI audio files in VS Code Copilot?

You can use the listtranscripts tool to see a list of recent transcription jobs. Your agent can then call gettranscript to check the status of any specific file in the queue.

Q: Is there a way to delete transcripts within VS Code Copilot?

Yes, you can run the deletetranscript tool directly through the chat interface. This sends a request to the API to remove the specified transcript, helping you manage data retention policies.

Share audio transcription and analysis tools across your entire team in VS Code Copilot.

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Connect AssemblyAI MCP to VS Code Copilot

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

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Manage team-wide transcription pipelines in VS Code Copilot

The `transcribe_audio_url` tool triggers transcription tasks directly from your shared workspace configuration. Because VS Code Copilot supports repository-level settings, your entire engineering team can run the same audio processing tools. This setup removes the need for individual API key management. The MCP server acts as a bridge, giving everyone on the team access to the same transcription backend.

Extract summaries and chapters for documentation

The `get_summary` tool generates concise overviews of recorded meetings or standups. Your agent can combine this with `get_chapters` to document video calls and commit the structured markdown files to your repository. Instead of manually writing meeting notes, you can let the agent pull the structured chapters directly into your workspace. This keeps your project documentation accurate and up to date.

Audit audio content with sentiment and topic detection

The `get_topics` tool scans your transcripts to identify the primary themes discussed. You can also run `get_sentiments` to track the tone of the conversation across different speakers. When you are done analyzing a file, `delete_transcript` ensures that sensitive data is removed from the system. This gives your team a clean way to manage the lifecycle of your media assets.

Setup guide

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

.vscode/mcp.json

{
  "mcpServers": {
    "assemblyai-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 AssemblyAI. 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 AssemblyAI MCP in VS Code Copilot

You can commit a `.vscode/mcp.json` file to your Git repository. This file defines the server under the `mcpServers` key, allowing every developer on your team to access the audio tools once they open the workspace.

Yes, the agent can call `get_speakers` to retrieve a list of dialogue blocks mapped to specific individuals. This makes it easy to format conversational transcripts directly in your editor.

You can use the `list_transcripts` tool to see a list of recent transcription jobs. Your agent can then call `get_transcript` to check the status of any specific file in the queue.

Yes, you can run the `delete_transcript` tool directly through the chat interface. This sends a request to the API to remove the specified transcript, helping you manage data retention policies.

All transcription data and audio URLs are routed through secure, ephemeral V8 isolates. The MCP host does not persist your media or transcript text, and you can invoke `delete_transcript` to immediately wipe your transcription records from the API.

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