How to Use the Verbit MCP in VS Code Copilot

Q: How do I configure Verbit in my VS Code Copilot setup?

You commit the MCP Server definition to your project's .vscode/mcp.json. This ensures every developer on the team automatically has access to all three Verbit tools.

Q: Can I monitor job status using Verbit and VS Code Copilot?

Yes, getjob provides the mechanism. When an agent calls this tool, it checks the job ID against the MCP Server to confirm if the transcription is still running or ready for download.

Q: Does Verbit support different media formats?

The createjob function accepts uploaded media files. Because it's a standardized tool, you can rely on consistent handling of common audio and video formats across the team.

Q: How do I retrieve the final transcript using Verbit with VS Code Copilot?

Call gettranscript after confirming completion via getjob. This fetches the finished, downloadable captioning file directly into your project's working context.

Standardize media transcription and captions across teams with VS Code Copilot.

See Vinkius in Action

Works with every AI agent you already use

…and any MCP-compatible client

MCP Servers - Free for Subscribers

Connect Verbit MCP to VS Code Copilot

Create your Vinkius account to connect Verbit 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.

GDPR Free for Subscribers

Setup Verbit with VS Code Copilot

Ask AI about this MCP

ChatGPT

Claude

Perplexity

Team Job Scheduling

Want every developer to use the same process? Commit Verbit to your team's `.vscode/mcp.json`. The `create_job` tool lets the AI client handle media uploads for transcription. The entire engineering team can rely on a single, defined method for scheduling captioning tasks.

Synchronized Progress Checking

When integrating Verbit into an enterprise workflow, you need consistency. The `get_job` tool lets the AI client check job progress using a standard pattern. This means every developer gets the same status feedback—queued, running, or finished—without needing special access.

Centralized Transcript Retrieval

After transcription is complete, the team needs standardized data retrieval. Use `get_transcript` to download the final captioning file. The output format is consistent across all developers, simplifying downstream processing and testing.

Setup guide

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

.vscode/mcp.json

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

Get your connection token →

Independent Platform Disclaimer: Vinkius is an independent platform and is not affiliated with, endorsed by, sponsored by, verified by, or otherwise authorized by Verbit. 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.

Why Choose Vinkius

Vinkius connects your tools to AI with real-time monitoring and automatic cost savings — all from one dashboard.

Connect Verbit now

Real-time monitoring

Live

visibility into every interaction

Connect your favorite tools to your AI and see exactly what's happening — every request, every response, in real time.

Built-in savings

60%

lower AI costs

Vinkius compresses data between your apps and your AI automatically. Lower bills every month — no configuration required.

Single dashboard

One

place for every integration

Every tool your AI connects to, managed from a single screen. One account, complete control.

Common questions about Verbit MCP in VS Code Copilot

You commit the MCP Server definition to your project's `.vscode/mcp.json`. This ensures every developer on the team automatically has access to all three Verbit tools.

Verbit processes uploaded media files (audio/video) and generates textual transcriptions and captions. The MCP Server manages these file operations through the available tools.

Yes, `get_job` provides the mechanism. When an agent calls this tool, it checks the job ID against the MCP Server to confirm if the transcription is still running or ready for download.

The `create_job` function accepts uploaded media files. Because it's a standardized tool, you can rely on consistent handling of common audio and video formats across the team.

Call `get_transcript` after confirming completion via `get_job`. This fetches the finished, downloadable captioning file directly into your project's working context.

Use it with your favorite AI tools

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

OpenAI Agents SDK sdk-python

Google ADK sdk-python

Pydantic AI sdk-python

Vercel AI SDK sdk-typescript