How to Use the Fireworks AI MCP in Vercel AI SDK

Q: Can I use Fireworks AI tools in Vercel AI SDK for RAG?

Absolutely. You can chain the embed tool with your vector database logic to build fast search interfaces. It works natively with the SDK's existing tool-calling patterns.

Connect Fireworks AI to Vercel AI SDK for high-speed streaming completions and real-time data updates in your frontend.

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…and any MCP-compatible client

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Connect Fireworks AI MCP to Vercel AI SDK

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

Ask AI about this MCP

ChatGPT

Claude

Perplexity

Streaming Chat and Completions

Wire your interface to `chat` and `completion` tools to serve responses directly into your React or Next.js components. Stop waiting for full payloads and let your users watch tokens arrive as they generate. This MCP Server handles the handshake, letting your Edge Functions pull high-performance inference. You get raw throughput without the overhead of manual API management.

Vector Embeddings for UI

Generate vector data on the fly using the `embed` tool to fuel your search or recommendation features. It integrates cleanly into your existing data pipelines without requiring extra backend services. Your application processes text inputs immediately. By keeping the logic inside your stream, you maintain a tight loop between the user and the model.

Model Management

Call `list_models` to programmatically update your UI based on available Fireworks AI options. You no longer need to hardcode model strings across your repository. Dynamic model switching becomes a simple function call. Your users see accurate, up-to-date choices every time they open the settings panel.

Setup guide

Set up Fireworks AI 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 Fireworks AI 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 Fireworks AI 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 Fireworks 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.

Connect Fireworks AI now

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.

Single dashboard

One

place for every integration

Every tool your AI connects to, managed from a single screen. One account, complete control.

Common questions about Fireworks AI MCP in Vercel AI SDK

Install the MCP client package and initialize the connection using your endpoint. Pass the tools directly into your `generateText` or `streamText` functions to start executing commands immediately.

Yes, the transport layer is designed for Edge Runtime compatibility. It keeps your latency low by avoiding unnecessary hops through a secondary proxy server.

Absolutely. You can chain the `embed` tool with your vector database logic to build fast search interfaces. It works natively with the SDK's existing tool-calling patterns.

It propagates standard error codes back through the stream. You can catch these in your UI and show meaningful feedback to the user without breaking the connection.

Your prompts and context data pass through an encrypted tunnel directly to the inference engine. We do not store your raw input logs or telemetry on our MCP host.

Use it with your favorite AI tools

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