How to Use the Together AI Alternative MCP in Vercel AI SDK

Q: How do I check the status of a large job using Together AI Alternative and Vercel AI SDK?

You first call createbatch to start the async work. Later, you use getbatch to pull the job details. This lets your streaming UI poll for updates without blocking the user thread.

Q: Can I list available models with Together AI Alternative and Vercel AI SDK?

Yep. You simply call listmodels to get the current inventory of available LLMs, like Llama 3.3 or Flux. This helps you select the right model for your streaming chat completion.

Q: How does Together AI Alternative work when integrated with Vercel AI SDK?

The connection allows your agent to use tools like createtextcompletion and stream that output instantly. This keeps your entire application stack feeling unified and fast.

Stream AI results instantly into your UI with Vercel AI SDK and Together AI Alternative.

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Connect Together AI Alternative MCP to Vercel AI SDK

Create your Vinkius account to connect Together AI Alternative 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 Together AI Alternative with Vercel AI SDK

Ask AI about this MCP

ChatGPT

Claude

Perplexity

Real-time Chat Completions for Vercel AI SDK

Use `create_chat_completion` to generate chat responses. Your AI client streams the output directly into your Next.js or React component, so users see text appearing live—no loading spinner wait. This rapid data flow makes it ideal for building user-facing products where immediate feedback matters. It's perfect for making your application feel truly responsive.

Embeddings and Search with Together AI Alternative MCP Server

Turn text into vectors using the `create_embeddings` tool. You can then use `create_rerank` to reorder documents based on a query. This is how you build smart, context-aware search experiences. Instead of just returning results, your UI gets the relevance score and the ranked document chunk in real time. It's fast enough for production deployment.

Handling Media Generation with Vercel AI SDK

Need images or videos? Call `create_image_generation` or `create_video_generation`. The tool accepts text prompts and returns the media data stream. This lets you build interactive tools, like a custom art generator. When paired with streaming into your frontend, users can see progress updates while waiting for complex assets to render.

Setup guide

Set up Together AI Alternative 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 Together AI Alternative 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 Together AI Alternative 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 Together AI. 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

Vinkius connects your tools to AI with real-time monitoring and automatic cost savings — all from one dashboard.

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Real-time monitoring

Live

visibility into every interaction

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

Built-in savings

60%

lower AI costs

Vinkius compresses data between your apps and your AI automatically. Lower bills every month — no configuration required.

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One

place for every integration

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Common questions about Together AI Alternative MCP in Vercel AI SDK

You first call `create_batch` to start the async work. Later, you use `get_batch` to pull the job details. This lets your streaming UI poll for updates without blocking the user thread.

This server handles text, audio file metadata, and image/video generation prompts. Specifically, when using `create_audio_transcription`, it processes raw audio files.

Yep. You simply call `list_models` to get the current inventory of available LLMs, like Llama 3.3 or Flux. This helps you select the right model for your streaming chat completion.

Absolutely. The design supports Edge Function compatibility, meaning you get low-latency results necessary for a smooth user experience directly on the frontend.

The connection allows your agent to use tools like `create_text_completion` and stream that output instantly. This keeps your entire application stack feeling unified and fast.

Use it with your favorite AI tools

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