How to Use the Abridge (AI Clinical Documentation API) MCP in VS Code Copilot

Give your entire engineering team access to the Abridge clinical documentation API directly inside VS Code Copilot.

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Connect Abridge (AI Clinical Documentation API) MCP to VS Code Copilot

Create your Vinkius account to connect Abridge (AI Clinical Documentation API) 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 Abridge (AI Clinical Documentation API) with VS Code Copilot

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Team-Wide API Access in VS Code Copilot

This MCP server connects your engineering team to real medical transcription endpoints. You trigger the `get_clinical_notes` tool to pull live SOAP note data while building healthcare dashboards. You commit the configuration file to your repository. Every developer on the team instantly gets the ability to query real patient assessment plans without distributing API keys.

Automated Audio Processing Logic

Building transcription pipelines requires testing file uploads. The `create_recording` tool lets Copilot push local audio files to the processing queue directly from your editor. The agent inspects the response headers and payload structure. It writes the exact HTTP client code your team needs to handle file uploads in production.

Production-Grade State Management

Managing asynchronous medical transcription jobs requires precise error handling. The `get_recording_status` tool gives your AI client access to the live queue states. Copilot uses the actual pending, processing, completed, and failed statuses to write precise polling mechanisms. Your team avoids hardcoded strings and relies on the exact data the MCP server provides.

Setup guide

Set up Abridge (AI Clinical Documentation API) 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 Abridge (AI Clinical Documentation API) 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 Abridge (AI Clinical Documentation API) tools listed. Try asking: "List my recent Abridge (AI Clinical Documentation API) transactions" and Copilot will invoke them automatically.

.vscode/mcp.json

{
  "mcpServers": {
    "abridge-ai-clinical-documentation-api-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 Abridge. 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 Abridge (AI Clinical Documentation API) MCP in VS Code Copilot

Create a .vscode/mcp.json file in your repository root and add the server details. Commit this file so every developer gets the same tools automatically.

Yes. Copilot calls the endpoint to fetch real clinical notes, then generates exact type definitions for the HPI, physical exam, and summary fields based on the live JSON.

Yes. You need version 1.96 or higher to support the Model Context Protocol (MCP) and enable Agent mode in your chat panel.

The server exposes an upload tool. Copilot can send test audio files to the API and use the response to write your application's file handling logic.

Vinkius manages the connection using an ephemeral sandbox. The system processes raw patient audio and structured medical assessments strictly in memory, leaving zero trace after execution.

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