How to Use the Abridge (AI Clinical Documentation API) MCP in Vercel AI SDK

Q: How do I handle audio files using Abridge (AI Clinical Documentation API) in Vercel AI SDK?

You run createrecording directly from your server-side actions or API routes. The SDK sends the audio payload to the Abridge API, which returns a session ID for tracking.

Q: Can I poll for medical note status with Abridge (AI Clinical Documentation API) in Vercel AI SDK?

Yes, you call getrecordingstatus within your polling loop. This lets your UI update dynamically as the status shifts from processing to completed.

Q: How does Abridge (AI Clinical Documentation API) deliver structured notes to Vercel AI SDK?

The getclinicalnotes tool fetches structured JSON containing the HPI, physical exam, and plan. The SDK then streams this structured data directly to your frontend components.

Q: Do I need to manage HTTP transport manually for this MCP Server?

No, you use createMCPClient with the HTTP transport option. The SDK handles the connection to the Vinkius managed endpoint automatically.

Feed live clinical audio sessions and structured medical notes directly into React frontends using the Vercel AI SDK.

See Vinkius in Action

Works with every AI agent you already use

…and any MCP-compatible client

MCP Servers - Free for Subscribers

Connect Abridge (AI Clinical Documentation API) MCP to Vercel AI SDK

Create your Vinkius account to connect Abridge (AI Clinical Documentation API) to Vercel AI SDK 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 Abridge (AI Clinical Documentation API) with Vercel AI SDK

Ask AI about this MCP

ChatGPT

Claude

Perplexity

Live-stream clinical note generation with Vercel AI SDK

The `create_recording` tool on this MCP Server lets your Next.js app start clinical audio uploads on the fly. You don't have to wait for the complete transcription to begin updating the interface. Instead of making users stare at a blank page, you pull the structured output using `get_clinical_notes`. This streams HPI, physical exams, and assessment plans directly into your UI components without blocking the main thread.

Track recording processing on Edge with MCP Server

You run the `get_recording_status` tool inside your API routes to fetch state changes without cold starts. Edge functions execute these requests in milliseconds. This setup lets your interface poll for completions efficiently. Your users get immediate feedback on whether their medical audio is pending, processing, or completed.

Render medical summaries directly in React

The `get_clinical_notes` tool delivers clean summaries and assessments that map directly to your React state. No custom parsers are needed for complex clinical text. Developers avoid writing boilerplates to handle raw audio outputs. The AI client handles the mapping, putting HPI data into your components instantly.

Setup guide

Set up Abridge (AI Clinical Documentation API) MCP in Vercel AI SDK

Prerequisites

Node.js 18+ and a TypeScript project
ai + @modelcontextprotocol/sdk packages
Active Vinkius subscription with a valid endpoint token

1

Install dependencies

Run npm install ai @modelcontextprotocol/sdk plus your preferred model provider (e.g. @ai-sdk/openai).
2

Create the Streamable HTTP transport

Use StreamableHTTPClientTransport with your Vinkius endpoint URL. Replace [YOUR_TOKEN_HERE] with your token from cloud.vinkius.com.
3

Discover and use tools

Call mcpClient.tools() to auto-discover all Abridge (AI Clinical Documentation API) tools. Pass them directly to generateText() or streamText() — no manual schema definitions needed.
4

Works with any model provider

Swap openai("gpt-4o") for any AI SDK provider — Anthropic, Google, Mistral. The MCP tools work identically across all supported models.

index.ts

import { experimental_createMCPClient as createMCPClient } from "ai";
import { StreamableHTTPClientTransport } from "@modelcontextprotocol/sdk/client/streamableHttp";
import { generateText } from "ai";
import { openai } from "@ai-sdk/openai";

const transport = new StreamableHTTPClientTransport(
  new URL("https://edge.vinkius.com/[YOUR_TOKEN_HERE]/mcp")
);

const mcpClient = await createMCPClient({ transport });
const tools = await mcpClient.tools();

const { text } = await generateText({
  model: openai("gpt-4o"),
  tools,
  prompt: "List recent Abridge (AI Clinical Documentation API) transactions",
});

console.log(text);
await mcpClient.close();

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.

Why Choose Vinkius

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

Connect Abridge (AI Clinical Documentation API) 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 Abridge (AI Clinical Documentation API) MCP in Vercel AI SDK

You run `create_recording` directly from your server-side actions or API routes. The SDK sends the audio payload to the Abridge API, which returns a session ID for tracking.

Yes, you call `get_recording_status` within your polling loop. This lets your UI update dynamically as the status shifts from processing to completed.

The `get_clinical_notes` tool fetches structured JSON containing the HPI, physical exam, and plan. The SDK then streams this structured data directly to your frontend components.

No, you use `createMCPClient` with the HTTP transport option. The SDK handles the connection to the Vinkius managed endpoint automatically.

All clinical audio and generated HPI data transit through a zero-trust V8 sandbox on Vinkius. Your endpoint token keeps Abridge API credentials encrypted, ensuring no patient data is exposed or stored permanently in the sandbox.

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