How to Use the Awattar MCP in Vercel AI SDK

Q: Can I use Awattar YAML outputs in Vercel AI SDK workflows?

Absolutely. Use getcurrentyaml to produce formatted output that your agent can write to your local configuration files or state management stores.

Stream live electricity pricing into your Vercel AI SDK frontends. Build dashboards that react to EPEX Spot market fluctuations instantly.

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Connect Awattar MCP to Vercel AI SDK

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

Ask AI about this MCP

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Perplexity

Real-time price visualization with AI SDK

Feed your UI live energy costs by piping `get_market_data` directly into your streamText calls. You get raw market numbers delivered to your frontend without the typical latency of intermediary polling. Your users see the price changes as they happen. It turns a static dashboard into a live monitor that updates the moment the market shifts.

Automated YAML configuration generation

Generate home automation schemas on the fly using `get_current_yaml`. Your AI agent constructs valid YAML snippets based on the latest hourly rates, ready for immediate injection into your edge functions. This removes the need for manual parsing. You pass the structured output from the MCP server straight to your configuration handlers.

Edge-ready energy monitoring

Execute your energy logic at the edge by keeping your MCP connection lightweight. The server handles the heavy lifting of price data aggregation while your Vercel functions remain focused on the user interaction. It keeps your cold start times low and your data streams consistent. You get reliable access to energy market stats without bloating your application bundle.

Setup guide

Set up Awattar 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 Awattar 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 Awattar 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 aWATTar. 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.

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place for every integration

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Common questions about Awattar MCP in Vercel AI SDK

Initialize the MCP client with the server URL and pass the tools into your generation function. The SDK handles the transport layer, letting you call `get_market_data` as a standard tool within your streamText block.

Yes, it provides current price points as soon as the market updates. You can trigger the tool whenever your component mounts to show the latest rates.

Absolutely. Use `get_current_yaml` to produce formatted output that your agent can write to your local configuration files or state management stores.

Vinkius handles the endpoint authentication. Your SDK talks to the server over an authenticated tunnel, ensuring your energy market queries remain private.

It processes public electricity spot market prices and generated YAML configuration strings. No personal user data is ever touched or stored by these tools.

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