How to Use the Mio MCP in Vercel AI SDK

Bridge Slack, Teams, and Webex calls directly in your Vercel AI SDK frontends for real-time interaction.

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Connect Mio MCP to Vercel AI SDK

Create your Vinkius account to connect Mio 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 Mio with Vercel AI SDK

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Stream call data via Vercel AI SDK

Feed live transcript data into your interface as it arrives. By calling `get_call_transcript` within your streamText handlers, you push text directly to the user's screen without waiting for a backend refresh. This MCP Server provides the raw event stream for your edge functions. You handle the logic while the tools manage the connection to the call logs.

Trigger AI calls from your UI

Initiate outbound sessions using `start_ai_call` directly from a button click in your React or Next.js app. Your agent manages the lifecycle of the call, ensuring the session starts exactly when the user requests it. Once the call is live, use `terminate_call` to stop the session instantly. This gives your users direct control over communication from their browser.

Monitor account funds and usage

Keep your UI updated with the latest credit status using `get_credit_balance`. Knowing exactly when to trigger a call prevents unexpected service interruptions for your end users. Pair this with `get_account_info` to show profile details directly in the dashboard. You build a transparent experience where the user sees their current limits and active settings.

Setup guide

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

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Common questions about Mio MCP in Vercel AI SDK

Install the MCP client packages and point your configuration to the Mio endpoint. Use the provided tools within your generateText calls to enable voice features.

Yes. The tools return data that streams perfectly through the SDK, allowing your UI to update as callers speak.

You can register and list webhooks using the provided tools. This allows your backend services to receive event notifications from the Mio platform.

The server uses token-based authentication for every request. Your API keys remain isolated from the client-side code.

This server accesses call transcripts, summaries, and account-level metadata. No sensitive user PII is stored locally by the server.

Use it with your favorite AI tools

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