How to Use the World Bank Climate & Energy MCP in Vercel AI SDK
Watch climate data appear live in your UI using Vercel AI SDK streaming capabilities.
Works with every AI agent you already use
…and any MCP-compatible client
Connect World Bank Climate & Energy MCP to Vercel AI SDK
Create your Vinkius account to connect World Bank Climate & Energy 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.
Real-time Indicator Fetching
The `get_climate_indicator` tool pulls any World Bank metric by its code. Your agent client streams the resulting value directly into your React or Next.js frontend, so users see the data pop up instantly instead of waiting for a spinner. This live streaming means you don't hit dead ends with slow API calls. You build user-facing products where the AI output feels immediate and responsive.
Emissions and Forest Tracking
Need to compare CO2 levels or track deforestation? Use `get_co2_emissions` for metric tons per capita, and run `get_forest_area` to check land coverage percentages. The results stream right into your UI, letting users follow climate trends as they happen. This makes comparison dashboards really smooth. You can't afford latency when showing global data; the streaming capability is key here.
Energy Access Status
The `get_electricity_access` tool gives you the population percentage with electric access, and `get_renewable_energy` tells you consumption rates. These metrics stream live into your component. You can build a quick comparison widget that updates as soon as the data is available, which is exactly what Vercel AI SDK excels at.
Set up World Bank Climate & Energy MCP in Vercel AI SDK
Prerequisites
- Node.js 18+ and a TypeScript project
-
ai+@modelcontextprotocol/sdkpackages - Active Vinkius subscription with a valid endpoint token
- 1
Install dependencies
Run
npm install ai @modelcontextprotocol/sdkplus your preferred model provider (e.g.@ai-sdk/openai). - 2
Create the Streamable HTTP transport
Use
StreamableHTTPClientTransportwith 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 Climate & Energy tools. Pass them directly togenerateText()orstreamText()— 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.
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 Climate & Energy 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 World Bank Open Data. 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 World Bank Climate & Energy MCP in Vercel AI SDK
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