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LocalAI MCP Server for Vercel AI SDKGive Vercel AI SDK instant access to 19 tools to Anthropic Messages, Apply Model, Chat Completions, and more

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The Vercel AI SDK is the TypeScript toolkit for building AI-powered applications. Connect LocalAI through Vinkius and every tool is available as a typed function. ready for React Server Components, API routes, or any Node.js backend.

Ask AI about this MCP Server for Vercel AI SDK

The LocalAI MCP Server for Vercel AI SDK is a standout in the Ai Frontier category — giving your AI agent 19 tools to work with, ready to go from day one.

Built for AI Agents by Vinkius

Vinkius delivers Streamable HTTP and SSE to any MCP client

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typescript
import { createMCPClient } from "@ai-sdk/mcp";
import { generateText } from "ai";
import { openai } from "@ai-sdk/openai";

async function main() {
  const mcpClient = await createMCPClient({
    transport: {
      type: "http",
      // Your Vinkius token. get it at cloud.vinkius.com
      url: "https://edge.vinkius.com/[YOUR_TOKEN_HERE]/mcp",
    },
  });

  try {
    const tools = await mcpClient.tools();
    const { text } = await generateText({
      model: openai("gpt-4o"),
      tools,
      prompt: "Using LocalAI, list all available capabilities.",
    });
    console.log(text);
  } finally {
    await mcpClient.close();
  }
}

main();
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* Every MCP server runs on Vinkius-managed infrastructure inside AWS - a purpose-built runtime with per-request V8 isolates, Ed25519 signed audit chains, and sub-40ms cold starts optimized for native MCP execution. See our infrastructure

About LocalAI MCP Server

Connect your LocalAI instance to any AI agent and leverage powerful multimodal capabilities directly from your own infrastructure.

The Vercel AI SDK gives every LocalAI tool full TypeScript type inference, IDE autocomplete, and compile-time error checking. Connect 19 tools through Vinkius and stream results progressively to React, Svelte, or Vue components. works on Edge Functions, Cloudflare Workers, and any Node.js runtime.

What you can do

  • Text Generation — Use chat_completions or anthropic_messages to generate text using local models with full OpenAI or Anthropic compatibility.
  • Image Synthesis — Create visual content from text prompts using the generate_image tool, supporting custom sizes and negative prompts.
  • Audio Processing — Convert speech to text with transcribe_audio or generate natural-sounding speech from text using text_to_speech.
  • Advanced Search & RAG — Generate vector embeddings with create_embeddings and improve search relevance using the rerank_documents tool.
  • Computer Vision — Analyze images and identify elements using the detect_objects tool.
  • System Management — Monitor your instance with list_models, get_system, and getVersion to ensure optimal performance.

The LocalAI MCP Server exposes 19 tools through the Vinkius. Connect it to Vercel AI SDK in under two minutes — credentials fully managed, no infrastructure to provision, no vendor lock-in. Your configuration, your data, your control.

All 19 LocalAI tools available for Vercel AI SDK

When Vercel AI SDK connects to LocalAI through Vinkius, your AI agent gets direct access to every tool listed below — spanning self-hosted, llm-inference, image-generation, and more. Every call runs in a secure, isolated environment with full audit visibility. Beyond a simple connection, you get real-time monitoring of agent activity, enterprise governance, and optimized token usage.

anthropic

Anthropic messages on LocalAI

Generate messages (Anthropic compatible)

apply

Apply model on LocalAI

Install a model from the gallery

chat

Chat completions on LocalAI

Generate chat completions (OpenAI compatible)

create

Create embeddings on LocalAI

Create text embeddings

detect

Detect objects on LocalAI

Detect objects in an image

face

Face analyze on LocalAI

Analyze face demographics

face

Face identify on LocalAI

Identify faces (1:N)

face

Face register on LocalAI

Enroll a face into the store

face

Face verify on LocalAI

Verify faces (1:1)

generate

Generate image on LocalAI

Supports negative prompts using | separator. Generate images from text prompts

get

Get auth status on LocalAI

Check authentication state and providers

get

Get auth usage on LocalAI

View personal token usage

get

Get system info on LocalAI

View system and backend info

get

Get version on LocalAI

Get LocalAI version

list

List models on LocalAI

List available models

open

Open responses on LocalAI

Generate open responses

rerank

Rerank documents on LocalAI

Rerank documents based on a query

text

Text to speech on LocalAI

Convert text to audio (TTS)

transcribe

Transcribe audio on LocalAI

Pass the file data or path as required by your LocalAI setup. Transcribe audio to text

Connect LocalAI to Vercel AI SDK via MCP

Follow these steps to wire LocalAI into Vercel AI SDK. The entire setup takes under two minutes — your credentials stay safe behind Vinkius.

01

Install dependencies

Run npm install @ai-sdk/mcp ai @ai-sdk/openai
02

Replace the token

Replace [YOUR_TOKEN_HERE] with your Vinkius token
03

Run the script

Save to agent.ts and run with npx tsx agent.ts
04

Explore tools

The SDK discovers 19 tools from LocalAI and passes them to the LLM

Why Use Vercel AI SDK with the LocalAI MCP Server

Vercel AI SDK provides unique advantages when paired with LocalAI through the Model Context Protocol.

01

TypeScript-first: every MCP tool gets full type inference, IDE autocomplete, and compile-time error checking out of the box

02

Framework-agnostic core works with Next.js, Nuxt, SvelteKit, or any Node.js runtime. same LocalAI integration everywhere

03

Built-in streaming UI primitives let you display LocalAI tool results progressively in React, Svelte, or Vue components

04

Edge-compatible: the AI SDK runs on Vercel Edge Functions, Cloudflare Workers, and other edge runtimes for minimal latency

LocalAI + Vercel AI SDK Use Cases

Practical scenarios where Vercel AI SDK combined with the LocalAI MCP Server delivers measurable value.

01

AI-powered web apps: build dashboards that query LocalAI in real-time and stream results to the UI with zero loading states

02

API backends: create serverless endpoints that orchestrate LocalAI tools and return structured JSON responses to any frontend

03

Chatbots with tool use: embed LocalAI capabilities into conversational interfaces with streaming responses and tool call visibility

04

Internal tools: build admin panels where team members interact with LocalAI through natural language queries

Example Prompts for LocalAI in Vercel AI SDK

Ready-to-use prompts you can give your Vercel AI SDK agent to start working with LocalAI immediately.

01

"List all models available on my LocalAI instance."

02

"Generate a chat response using the 'llama-3' model about the benefits of local AI."

03

"Create an image of a futuristic library using the 'stablediffusion' model."

Troubleshooting LocalAI MCP Server with Vercel AI SDK

Common issues when connecting LocalAI to Vercel AI SDK through Vinkius, and how to resolve them.

01

createMCPClient is not a function

Install: npm install @ai-sdk/mcp

LocalAI + Vercel AI SDK FAQ

Common questions about integrating LocalAI MCP Server with Vercel AI SDK.

01

How does the Vercel AI SDK connect to MCP servers?

Import createMCPClient from @ai-sdk/mcp and pass the server URL. The SDK discovers all tools and provides typed TypeScript interfaces for each one.
02

Can I use MCP tools in Edge Functions?

Yes. The AI SDK is fully edge-compatible. MCP connections work on Vercel Edge Functions, Cloudflare Workers, and similar runtimes.
03

Does it support streaming tool results?

Yes. The SDK provides streaming primitives like useChat and streamText that handle tool calls and display results progressively in the UI.

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