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How to Use the U.S. Treasury Exchange Rates — Official Foreign Currency Data MCP in Vercel AI SDK

Stream official currency rates directly into your UI using the Vercel AI SDK.

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…and any MCP-compatible client

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Connect U.S. Treasury Exchange Rates — Official Foreign Currency Data MCP to Vercel AI SDK

Create your Vinkius account to connect U.S. Treasury Exchange Rates — Official Foreign Currency Data 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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Check specific exchange rates in real-time

You can grab a single rate for any foreign currency using `get_exchange_rate_for_currency`. Just pass the name—like "Euro" or "Brazil-Real"—and get the official, current value. Because your AI client streams results via Vercel AI SDK, users see that specific number pop into place instantly in the UI. There's no waiting for a full page reload; it appears live.

Pull rates for over 170 currencies

Need to compare dozens of markets? Use `get_treasury_exchange_rates` to pull official data for over 170 foreign currencies against the USD. This dataset is what the government actually uses, so it's rock-solid truth. Streaming these results means your front-end can display a huge comparison table populating row by row as the rates come in. It feels fast and responsive.

Query any deep fiscal dataset

Sometimes you need more than just rates—you need actual treasury records. Call `query_treasury_dataset` and pass a specific API path, like `/v2/accounting/od/debt_to_penny`. This lets your agent go deep into the treasury archives for any dataset that fits an endpoint query. The streaming nature of Vercel AI SDK means complex data structures get rendered piece by piece. That's huge when you're building user-facing products.

Setup guide

Set up U.S. Treasury Exchange Rates — Official Foreign Currency Data 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. 1

    Install dependencies

    Run npm install ai @modelcontextprotocol/sdk plus your preferred model provider (e.g. @ai-sdk/openai).

  2. 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. 3

    Discover and use tools

    Call mcpClient.tools() to auto-discover all U.S. Treasury Exchange Rates — Official Foreign Currency Data tools. Pass them directly to generateText() or streamText() — no manual schema definitions needed.

  4. 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 U.S. Treasury Exchange Rates — Official Foreign Currency Data transactions",
});

console.log(text);
await mcpClient.close();

Independent Platform Disclaimer: Vinkius is an independent platform and is not affiliated with, endorsed by, sponsored by, verified by, or otherwise authorized by U.S. Department of the Treasury. 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.

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Common questions about U.S. Treasury Exchange Rates — Official Foreign Currency Data MCP in Vercel AI SDK

The data streams in chunks as it's retrieved, so your front-end doesn't freeze up waiting for a massive response block. You see real-time updates on the exchange rates appearing exactly where they belong.
The server provides official, government-backed data points that your client uses. You're pulling clean, reliable financial metrics directly from the source.
Yes, you can retrieve historical rates by calling specific tools that handle time-based queries. The client displays the date range data as it arrives.
The data comes from the U.S. Treasury itself, meaning it's official government accounting information. It's the primary source for these rates.
This server touches financial and exchange rate data, including historical foreign currency values relative to the U.S. dollar.

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