How to Use the LocalAI MCP in Vercel AI SDK

Q: Can I use LocalAI for real-time transcription in Vercel AI SDK?

Yes. Pass the audio file path or data buffer to the transcribeaudio tool. The SDK handles the stream, so your UI updates as the text is generated.

Q: Does the Vercel AI SDK support LocalAI image generation?

Absolutely. Map the generateimage tool to your agent's tool set. The output renders directly in your frontend components.

Run LocalAI models directly in your Vercel AI SDK streams. Keep your data on-prem and your UI responsive.

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Connect LocalAI MCP to Vercel AI SDK

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

Ask AI about this MCP

ChatGPT

Claude

Perplexity

Real-time AI data streaming

Feed your frontend directly from your local machine. By calling `chat_completions` through the Vercel AI SDK, you push generated tokens to your React components as they arrive. You avoid waiting for full responses. Your interface stays fast while your hardware handles the heavy lifting.

Local image and audio processing

Generate visuals or transcribe files without hitting external APIs. Use `generate_image` or `transcribe_audio` to feed raw bytes straight into your browser-based tools. Your users get immediate feedback. The local MCP Server ensures data never leaves your infrastructure.

Model management in TypeScript

Switch between models on the fly using `list_models` and `apply_model`. You maintain full control over your local library from your codebase. This setup keeps your application logic clean. You query the exact capabilities your hardware supports without guessing.

Setup guide

Set up LocalAI 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 LocalAI 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 LocalAI 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 LocalAI. 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

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Real-time monitoring

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

Built-in savings

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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

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Common questions about LocalAI MCP in Vercel AI SDK

Install the MCP client package and point it to your local endpoint. Use the createMCPClient function to fetch your tool definitions and inject them into your streamText calls.

Yes. Pass the audio file path or data buffer to the `transcribe_audio` tool. The SDK handles the stream, so your UI updates as the text is generated.

Absolutely. Map the `generate_image` tool to your agent's tool set. The output renders directly in your frontend components.

It stays on your machine. The MCP connection creates a private pipe between your application and your hardware, ensuring no third-party cloud sees your input.

Not really. Since the MCP Server logs every call, you can check the server output to see exactly which tool payload failed. It’s just standard HTTP debugging.

Use it with your favorite AI tools

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

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