How to Use the World Bank Economy MCP in Vercel AI SDK

Q: How does World Bank Economy work with Vercel AI SDK?

You call the MCP Server through mcpClient.tools() and pass it to your text generation function. The AI client then knows how to execute the tool calls and stream the results back to your frontend in real time.

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Connect World Bank Economy MCP to Vercel AI SDK

Create your Vinkius account to connect World Bank Economy 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 World Bank Economy with Vercel AI SDK

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Stream GDP and Indicators Live

When you call `mcpClient.tools()` for the World Bank Economy MCP Server, you can get real-time figures like Gross Domestic Product (GDP). Your user sees data appear instantly in the frontend—no loading spinner needed. We're talking about streaming results directly into React or Svelte components. Whether you call `get_gdp` or need a specific indicator via `get_economy_indicator`, the client handles it so your UI feels snappy and live.

Track Growth Rate Changes

Need to show how fast an economy is expanding? Use `get_gdp_growth` to pull annual percentage changes. Because this data streams, you can plot the growth curve in real-time as your agent fetches each point. This makes building interactive dashboards simple. You just call the tool and let the AI SDK handle streaming the results into the user's view. It’s fast.

Monitor Inflation Rates

Inflation tracking is key for any finance app. The World Bank Economy MCP Server exposes `get_inflation` to grab annual consumer price changes. This data feeds right into your stream. It’s clean, simple integration: call the tool, and let the AI SDK pipe that number directly to the user's screen. You don't deal with backend loading states; you just build what the end user sees.

Setup guide

Set up World Bank Economy 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 World Bank Economy 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 World Bank Economy transactions",
});

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

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Common questions about World Bank Economy MCP in Vercel AI SDK

You call the MCP Server through `mcpClient.tools()` and pass it to your text generation function. The AI client then knows how to execute the tool calls and stream the results back to your frontend in real time.

It touches various economic metrics, including GDP, inflation rates, and specific indicators retrieved by `get_economy_indicator`. This means you’re working with financial time-series data.

Yeah, absolutely. The SDK supports Edge Function compatibility and streaming responses into frameworks like Next.js. You'll get those economic stats live, without the typical API delay.

The server focuses on national and global indicators (like country GDP or inflation). You pull aggregated metrics like `get_gdp` and use them to make broad, high-level statements in your application.

The server touches public economic indicators (GDP values, inflation percentages, etc.). Since this involves general financial metrics and not personal user information, the risk profile is low.

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