World Bank Climate & Energy MCP Server for Vercel AI SDK 5 tools — connect in under 2 minutes
The Vercel AI SDK is the TypeScript toolkit for building AI-powered applications. Connect World Bank Climate & Energy through the Vinkius and every tool is available as a typed function — ready for React Server Components, API routes, or any Node.js backend.
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Vinkius supports streamable HTTP and SSE.
import { createMCPClient } from "@ai-sdk/mcp";
import { generateText } from "ai";
import { openai } from "@ai-sdk/openai";
async function main() {
const mcpClient = await createMCPClient({
transport: {
type: "http",
// Your Vinkius token — get it at cloud.vinkius.com
url: "https://edge.vinkius.com/[YOUR_TOKEN_HERE]/mcp",
},
});
try {
const tools = await mcpClient.tools();
const { text } = await generateText({
model: openai("gpt-4o"),
tools,
prompt: "Using World Bank Climate & Energy, list all available capabilities.",
});
console.log(text);
} finally {
await mcpClient.close();
}
}
main();
* Every MCP server runs on Vinkius-managed infrastructure inside AWS - a purpose-built runtime with per-request V8 isolates, Ed25519 signed audit chains, and sub-40ms cold starts optimized for native MCP execution. See our infrastructure
About World Bank Climate & Energy MCP Server
Turn your AI into a climate change researcher by connecting it directly to the World Bank's environmental metrics.
The Vercel AI SDK gives every World Bank Climate & Energy tool full TypeScript type inference, IDE autocomplete, and compile-time error checking. Connect 5 tools through the Vinkius and stream results progressively to React, Svelte, or Vue components — works on Edge Functions, Cloudflare Workers, and any Node.js runtime.
What you can do
- Emissions — Track metric tons of CO2 emissions per capita.
- Renewables — Measure the transition to renewable energy sources globally.
- Conservation — Map the shrinking or growing forest area relative to land mass.
The World Bank Climate & Energy MCP Server exposes 5 tools through the Vinkius. Connect it to Vercel AI SDK in under two minutes — no API keys to rotate, no infrastructure to provision, no vendor lock-in. Your configuration, your data, your control.
How to Connect World Bank Climate & Energy to Vercel AI SDK via MCP
Follow these steps to integrate the World Bank Climate & Energy MCP Server with Vercel AI SDK.
Install dependencies
Run npm install @ai-sdk/mcp ai @ai-sdk/openai
Replace the token
Replace [YOUR_TOKEN_HERE] with your Vinkius token
Run the script
Save to agent.ts and run with npx tsx agent.ts
Explore tools
The SDK discovers 5 tools from World Bank Climate & Energy and passes them to the LLM
Why Use Vercel AI SDK with the World Bank Climate & Energy MCP Server
Vercel AI SDK provides unique advantages when paired with World Bank Climate & Energy through the Model Context Protocol.
TypeScript-first: every MCP tool gets full type inference, IDE autocomplete, and compile-time error checking out of the box
Framework-agnostic core works with Next.js, Nuxt, SvelteKit, or any Node.js runtime — same World Bank Climate & Energy integration everywhere
Built-in streaming UI primitives let you display World Bank Climate & Energy tool results progressively in React, Svelte, or Vue components
Edge-compatible: the AI SDK runs on Vercel Edge Functions, Cloudflare Workers, and other edge runtimes for minimal latency
World Bank Climate & Energy + Vercel AI SDK Use Cases
Practical scenarios where Vercel AI SDK combined with the World Bank Climate & Energy MCP Server delivers measurable value.
AI-powered web apps: build dashboards that query World Bank Climate & Energy in real-time and stream results to the UI with zero loading states
API backends: create serverless endpoints that orchestrate World Bank Climate & Energy tools and return structured JSON responses to any frontend
Chatbots with tool use: embed World Bank Climate & Energy capabilities into conversational interfaces with streaming responses and tool call visibility
Internal tools: build admin panels where team members interact with World Bank Climate & Energy through natural language queries
World Bank Climate & Energy MCP Tools for Vercel AI SDK (5)
These 5 tools become available when you connect World Bank Climate & Energy to Vercel AI SDK via MCP:
get_climate_indicator
Get any World Bank climate/energy indicator by code
get_co2_emissions
Get CO2 emissions (metric tons per capita)
get_electricity_access
Get access to electricity (% of population)
get_forest_area
Get forest area (% of land area)
get_renewable_energy
Get renewable energy consumption (% of total)
Example Prompts for World Bank Climate & Energy in Vercel AI SDK
Ready-to-use prompts you can give your Vercel AI SDK agent to start working with World Bank Climate & Energy immediately.
"What is the renewable energy consumption in Norway compared to the global average?"
"Compare CO2 emissions per capita: USA versus China over the last 20 years."
"How has deforestation progressed in Brazil over the last 30 years?"
Troubleshooting World Bank Climate & Energy MCP Server with Vercel AI SDK
Common issues when connecting World Bank Climate & Energy to Vercel AI SDK through the Vinkius, and how to resolve them.
createMCPClient is not a function
npm install @ai-sdk/mcpWorld Bank Climate & Energy + Vercel AI SDK FAQ
Common questions about integrating World Bank Climate & Energy MCP Server with Vercel AI SDK.
How does the Vercel AI SDK connect to MCP servers?
createMCPClient from @ai-sdk/mcp and pass the server URL. The SDK discovers all tools and provides typed TypeScript interfaces for each one.Can I use MCP tools in Edge Functions?
Does it support streaming tool results?
useChat and streamText that handle tool calls and display results progressively in the UI.Connect World Bank Climate & Energy with your favorite client
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Connect World Bank Climate & Energy to Vercel AI SDK
Get your token, paste the configuration, and start using 5 tools in under 2 minutes. No API key management needed.