How to Use the LMNT (Ultra-low Latency Speech Synthesis) MCP in Vercel AI SDK

Stream LMNT (Ultra-low Latency Speech Synthesis) audio directly into your Vercel AI SDK frontends for real-time voice feedback.

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Connect LMNT (Ultra-low Latency Speech Synthesis) MCP to Vercel AI SDK

Create your Vinkius account to connect LMNT (Ultra-low Latency Speech Synthesis) 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 LMNT (Ultra-low Latency Speech Synthesis) with Vercel AI SDK

Ask AI about this MCP

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Claude

Perplexity

Instant audio streaming for AI SDK

Feed your UI with live audio streams by invoking `generate_speech` directly from your edge functions. The result comes back as a base64 string, letting you pipe audio to your browser's audio context immediately. Latency is minimal, so you avoid the jarring delay common with standard TTS. Your users hear the AI speak as soon as the text generates.

Clone voices on the fly with AI SDK

Use `create_voice` to ingest samples and generate custom audio profiles during a user session. You can manage these assets programmatically without manual dashboard configuration. This keeps your application state consistent while maintaining unique brand identities for your agents. Just pass the voice ID to your generator tool to switch personalities.

Manage audio assets in AI SDK

Keep your account usage within limits by calling `get_account` to track your plan status. You can also audit available assets using `list_voices` to see exactly what you have ready to deploy. It’s simple to prune old or unused voices with `delete_voice`. This keeps your workspace clean and ensures your agent only uses active, verified audio profiles.

Setup guide

Set up LMNT (Ultra-low Latency Speech Synthesis) 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 LMNT (Ultra-low Latency Speech Synthesis) 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 LMNT (Ultra-low Latency Speech Synthesis) transactions",
});

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

Get your connection token →

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Common questions about LMNT (Ultra-low Latency Speech Synthesis) MCP in Vercel AI SDK

Install the MCP client package and connect via the provided URL. Once initialized, pass the server tools into your streamText function to start generating audio.

Yes. By using the ultra-low latency architecture, you eliminate the typical wait time between text generation and audio playback.

It does. The lightweight transport supports edge environments perfectly, ensuring your audio synthesis remains fast and responsive for every user.

The server returns base64 encoded audio strings. You can decode these directly in the browser to play speech through your standard web audio APIs.

Your audio samples and generated speech remain private to your account. We handle all data through encrypted tokens, ensuring your voice assets are never exposed.

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