How to Use the World Bank Full Access MCP in Vercel AI SDK

Q: How do I check historical GDP trends using World Bank Full Access and Vercel AI SDK?

You call getindicatordata with the specific indicator code and country. The MCP Server handles the API calls, streaming the data points back to your client in real-time as they populate your UI component.

Q: What kind of environmental data can World Bank Full Access provide for Vercel AI SDK?

You get metrics like getco2emissions (metric tons per capita) and getforestarea (% of land area). These are perfect inputs to build a sustainability dashboard that updates live.

Q: Can World Bank Full Access calculate economic ratios for Vercel AI SDK?

Yep. You fetch components like getgdp and getfdi. The client then takes those streaming values to compute ratios, showing users metrics like the percentage of GDP from foreign investment.

Q: Does World Bank Full Access support global comparison for Vercel AI SDK?

Absolutely. You can use listcountries or searchregions to define your scope, and then query specific indicators like getginiindex across multiple nations simultaneously.

Streamline World Bank Data Visualization with Vercel AI SDK.

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Connect World Bank Full Access MCP to Vercel AI SDK

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

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Real-Time Indicator Fetching in the MCP Server

The `get_indicator_data` tool lets you pull any World Bank indicator for a country or region on demand. When your agent calls this, your AI client streams results directly to the UI, so users see data appear instantly instead of waiting for a loading spinner. You build frontends that feel alive. Since the MCP Server handles the complex API fetching, you just focus on displaying live metrics—like population totals (`get_total_population`) or literacy rates (`get_literacy_rate`)—as they arrive.

Economic Dashboarding with Vercel AI SDK

Need to compare economic health across borders? Use `get_gdp` and `get_exports` to fetch key metrics showing gross domestic product and goods/services exports. This lets your client build interactive dashboards that calculate ratios, like comparing foreign direct investment (`get_fdi`) against overall GDP. Because the MCP Server manages these calculations and calls, you get clean data streams perfect for charting libraries. You can show users how annual GDP growth percentage (`get_gdp_growth`) impacts debt levels (`get_external_debt`).

Social & Environmental Metrics via World Bank Full Access

Track global development challenges by calling `get_co2_emissions` alongside social metrics like `get_life_expectancy`. This allows you to build visualizations that correlate environmental impact with human welfare. It’s also great for visualizing poverty. The tool `get_poverty` retrieves the headcount ratio at $2.15 a day, giving you immediate data points you can chart against other indicators like adult literacy rate (`get_literacy_rate`).

Setup guide

Set up World Bank Full Access 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 Full Access 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 Full Access transactions",
});

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

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Common questions about World Bank Full Access MCP in Vercel AI SDK

You call `get_indicator_data` with the specific indicator code and country. The MCP Server handles the API calls, streaming the data points back to your client in real-time as they populate your UI component.

You get metrics like `get_co2_emissions` (metric tons per capita) and `get_forest_area` (% of land area). These are perfect inputs to build a sustainability dashboard that updates live.

Yep. You fetch components like `get_gdp` and `get_fdi`. The client then takes those streaming values to compute ratios, showing users metrics like the percentage of GDP from foreign investment.

Absolutely. You can use `list_countries` or `search_regions` to define your scope, and then query specific indicators like `get_gini_index` across multiple nations simultaneously.

This server touches economic metrics, specifically Gross Domestic Product (GDP) in current US$.

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