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

Q: How does Mastra AI handle conditional branching with Abridge (AI Clinical Documentation API)?

You set up a workflow step that checks getrecordingstatus. The workflow branches to fetch notes via getclinicalnotes only when the status is completed.

Q: How do I register the Abridge tools within my Mastra agent?

You initialize the client, call listTools on the Abridge MCP Server, and spread them into your agent's tool array. The framework configures the transport under the hood.

Build resilient workflows that process clinical audio and fetch structured medical notes using Mastra AI.

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Connect Abridge (AI Clinical Documentation API) MCP to Mastra AI

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Setup Abridge (AI Clinical Documentation API) with Mastra AI

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Build resilient audio pipelines with Mastra AI

Mastra AI wraps the `create_recording` tool from this MCP Server in a workflow engine that automatically retries failed network requests. You get reliable data ingestion even when local internet connections at the clinic hiccup. If a recording session fails to initialize, the agent executes alternative logic. Clinicians maintain consistent uptime without manual intervention.

Automate status checks with conditional steps

The agent calls `get_recording_status` to check processing states without constant manual oversight. You set up conditional branches that execute only when the state changes. When the status changes to completed, the workflow automatically triggers the next step. If it fails, the agent routes the session to an error queue for clinician review.

Approve generated clinical notes via MCP Server tools

The `get_clinical_notes` tool retrieves structured notes that you can pause for human approval. Mastra AI lets you enforce tool approval rules directly on this endpoint. The system pauses when structured notes are retrieved. A clinician must review the HPI and physical exam summaries before the agent writes them to the database.

Setup guide

Set up Abridge (AI Clinical Documentation API) MCP in Mastra AI

Prerequisites

Node.js 18+ and a TypeScript project
@mastra/mcp + @mastra/core packages
Active Vinkius subscription with a valid endpoint token

1

Install dependencies
Run npm install @mastra/mcp @mastra/core plus your preferred model provider (e.g. @ai-sdk/openai).
2

Configure the MCPClient
Create an MCPClient with your Vinkius endpoint as a URL object. Replace [YOUR_TOKEN_HERE] with your token from cloud.vinkius.com.
3

Discover and inject tools
Call mcpClient.listTools() and spread the result into your agent's tools object. All Abridge (AI Clinical Documentation API) tools become native Mastra tools.
4

Run with any model
Swap openai("gpt-4o") for any AI SDK-compatible provider. Call agent.generate() and the agent routes tool calls through MCP automatically.

agent.ts

import { MCPClient } from "@mastra/mcp";
import { Agent } from "@mastra/core/agent";
import { openai } from "@ai-sdk/openai";

const mcpClient = new MCPClient({
  id: "abridge-ai-clinical-documentation-api-mcp-client",
  servers: {
    "abridge-ai-clinical-documentation-api-mcp": {
      url: new URL(
        "https://edge.vinkius.com/[YOUR_TOKEN_HERE]/mcp"
      ),
    },
  },
});

const agent = new Agent({
  name: "Abridge (AI Clinical Documentation API) Agent",
  model: openai("gpt-4o"),
  instructions: "You have access to Abridge (AI Clinical Documentation API) tools.",
  tools: {
    ...(await mcpClient.listTools()),
  },
});

const result = await agent.generate(
  "List recent Abridge (AI Clinical Documentation API) transactions"
);
console.log(result.text);

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Common questions about Abridge (AI Clinical Documentation API) MCP in Mastra AI

Yes, Mastra AI's workflow engine allows you to configure backoff rules for `create_recording`. This prevents transient network failures from dropping clinical audio uploads.

You set up a workflow step that checks `get_recording_status`. The workflow branches to fetch notes via `get_clinical_notes` only when the status is completed.

Yes, you use the human-in-the-loop approval feature before calling `get_clinical_notes`. This pauses the agent workflow until a clinician verifies the summary.

You initialize the client, call `listTools` on the Abridge MCP Server, and spread them into your agent's tool array. The framework configures the transport under the hood.

Your medical audio and structured physical exam data are processed inside isolated V8 execution environments. Vinkius manages the authentication tokens securely, preventing exposure to external agents.

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