How to Use the BEA (Bureau of Economic Analysis) MCP in Vercel AI SDK

Stream real-time US economic data into your Vercel AI SDK frontends without waiting on static reports.

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Connect BEA (Bureau of Economic Analysis) MCP to Vercel AI SDK

Create your Vinkius account to connect BEA (Bureau of Economic Analysis) 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 BEA (Bureau of Economic Analysis) with Vercel AI SDK

Ask AI about this MCP

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Claude

Perplexity

Live GDP and income data in your Vercel AI SDK app

Feed live economic indicators straight into your React components. The `get_data` tool pulls raw statistics that you can render as charts or tables the moment they hit the client. Stop forcing users to wait for API responses. By piping output from `get_data` into your stream, you keep your interface snappy and responsive.

Browse BEA datasets directly from your Vercel AI SDK logic

Call `get_dataset_list` to see what information is available before you query. This prevents your code from guessing which tables exist in the Bureau of Economic Analysis library. Your app stays synced with the official source. You'll know exactly which NIPA or regional datasets are ready to fetch.

Map parameter requirements for your Vercel AI SDK flows

Use `get_parameter_list` and `get_parameter_values` to build dynamic inputs for your users. You don't have to hardcode IDs when the server can tell your agent what's valid. This MCP Server makes your UI smarter. It handles the metadata lookups while you focus on the visual presentation of the economic figures.

Setup guide

Set up BEA (Bureau of Economic Analysis) 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 BEA (Bureau of Economic Analysis) 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 BEA (Bureau of Economic Analysis) 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 BEA (Bureau of Economic Analysis). 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 BEA (Bureau of Economic Analysis) MCP in Vercel AI SDK

You connect the server via the HTTP transport in your configuration. Once connected, pass the tools to your streamText function to start querying data.

Yes. Because the SDK supports streaming, the tool results appear on the screen as they arrive. There is no need for a loading spinner.

It is built for that exact environment. The lightweight transport ensures your edge functions stay within their memory limits.

You handle it like any other network call. Wrap your tool invocation in a standard try-catch block to manage the error state.

Your credentials are kept server-side in the Vinkius sandbox. This MCP Server only handles the transmission of the requested public economic records.

Use it with your favorite AI tools

Connect this server to Cursor, Claude, VS Code, and more.