How to Use the Five9 QM MCP in Vercel AI SDK

Q: How do I stream call recordings in Five9 QM using Vercel AI SDK?

Execute getrecordinglink to retrieve the HTTPS audio URL and stream it via the SDK's UI components. This method bypasses slow database queries by resolving the URL directly on the edge.

Q: Can I build custom scorecards with Five9 QM and Vercel AI SDK?

Yes, by calling listevaluationforms to pull current templates and using createevaluation to submit completed scores. The SDK streams the submission state so supervisors see instant confirmation.

Q: Can I use Five9 QM and Vercel AI SDK to monitor agent performance?

You can query listqmagents through the SDK to populate dropdown menus in your supervisor dashboard. This call returns the active agent roster instantly without hitting main database clusters.

Pipe real-time QA evaluations and call recordings directly into Next.js interfaces using the Vercel AI SDK.

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Connect Five9 QM MCP to Vercel AI SDK

Create your Vinkius account to connect Five9 QM 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.

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Setup Five9 QM with Vercel AI SDK

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Stream live QA evaluations in Vercel AI SDK

The Vercel AI SDK streams live call center metrics directly into Next.js interfaces when you execute `create_evaluation` to submit agent grades. By routing this call through an MCP Server, your Next.js frontend displays the scorecard metrics instantly as the agent generates them, bypassing standard loading spinners. Your supervisor dashboard updates in real-time as the SDK processes the payload block-by-block, removing the need for page refreshes during Five9 QM audits.

Fetch call recordings dynamically during chat sessions

By using `get_recording_link` inside your Vercel AI SDK application, supervisors can listen to call audio directly within the chat interface. The application resolves the secure media endpoint instantly so users can play the audio without waiting for a backend API fetch. This integration relies on the MCP Server to resolve the secure media URL instantly. Developers write less boilerplate code because the SDK manages the tool invocation and state updates on the edge.

Render interactive QA evaluation forms on the edge

Your Next.js app renders dynamic grading forms on the edge by feeding the schema from `get_evaluation_form` directly into the Vercel AI SDK. The dynamic UI renders input fields that match your current compliance rules. This setup guarantees that any changes to your Five9 QM scorecard layouts display instantly in the frontend without requiring a new deployment.

Setup guide

Set up Five9 QM 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 Five9 QM 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 Five9 QM transactions",
});

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

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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 Five9 QM. 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 Five9 QM MCP in Vercel AI SDK

Execute `get_recording_link` to retrieve the HTTPS audio URL and stream it via the SDK's UI components. This method bypasses slow database queries by resolving the URL directly on the edge.

Yes, by calling `list_evaluation_forms` to pull current templates and using `create_evaluation` to submit completed scores. The SDK streams the submission state so supervisors see instant confirmation.

The Vinkius platform manages OAuth token refreshes automatically behind a single endpoint token. Your Next.js application only needs to declare the MCP client without managing complex credential rotations.

You can query `list_qm_agents` through the SDK to populate dropdown menus in your supervisor dashboard. This call returns the active agent roster instantly without hitting main database clusters.

The MCP Server transmits HTTPS media URLs directly to your edge function using TLS encryption. No raw audio files or user credentials are cached on the Vinkius platform.

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