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How to Use the REST Countries MCP in Vercel AI SDK

Pipe global country records directly into your Next.js UI in real-time using Vercel AI SDK.

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Works with every AI agent you already use

…and any MCP-compatible client

REST Countries MCP on Cursor AI Code Editor MCP Client REST Countries MCP on Claude Desktop App MCP Integration REST Countries MCP on OpenAI Agents SDK MCP Compatible REST Countries MCP on Visual Studio Code MCP Extension Client REST Countries MCP on GitHub Copilot AI Agent MCP Integration REST Countries MCP on Google Gemini AI MCP Integration REST Countries MCP on Lovable AI Development MCP Client REST Countries MCP on Mistral AI Agents MCP Compatible REST Countries MCP on Amazon AWS Bedrock MCP Support
MCP Servers — Included with Plan
Vinkius runs on Vercel AI SDK

Connect REST Countries MCP to Vercel AI SDK

Create your Vinkius account to connect REST Countries to Vercel AI SDK — we handle the hosting, security, and runtime updates so you don't have to. No server setup required.

GDPR Included with Plan

Key Capabilities

Real-time UI streaming with REST Countries tools

The `get_all_countries` tool feeds raw geographical datasets straight into your Vercel AI SDK stream without waiting for a massive JSON payload to finish downloading. Your users see country lists, regional groupings, and official names populate their screens immediately as the tokens arrive. By integrating `get_countries_by_region` directly into edge runtimes, your interface updates dynamically as the client processes regional subsets. This setup eliminates loading spinners because the data renders incrementally, transforming how your users search global databases.

Dynamic localized UI states in your Vercel AI SDK app

Use `get_countries_by_currency` to trigger currency-specific interface layouts inside your Vercel AI SDK application the moment a user selects a market. The model calls the tool, grabs the matching countries, and updates your component state on the fly. Linking this MCP Server with your frontend means you can also call `get_countries_by_language` to instantly adjust language dropdowns or regional settings. The interface adapts based on live country data, making your application feel incredibly fast and responsive.

Instant single-country lookups at the edge

The `get_country_by_code` tool resolves two-letter and three-letter ISO codes directly inside your Vercel AI SDK edge functions. You avoid cold starts and heavy database queries by letting your AI client fetch precise country profiles instantly. When users type partial names, `get_country_by_name` matches the correct official record and streams the details straight to the client. This lightweight MCP integration keeps your edge bundle tiny while providing complete global coverage.

Setup guide

Set up REST Countries 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. 1

    Install dependencies

    Run npm install ai @modelcontextprotocol/sdk plus your preferred model provider (e.g. @ai-sdk/openai).

  2. 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. 3

    Discover and use tools

    Call mcpClient.tools() to auto-discover all REST Countries tools. Pass them directly to generateText() or streamText() — no manual schema definitions needed.

  4. 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 REST Countries 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 REST Countries. 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 REST Countries MCP in Vercel AI SDK

Install `@ai-sdk/mcp` to connect your client to the MCP Server and call `get_all_countries` inside `streamText`. The tool results stream directly to your React or Next.js components, rendering data as it arrives.
Yes, you pass `get_countries_by_currency` to the SDK's tool parameter. Your model calls this tool when a user asks for currency associations, returning the filtered list to the UI.
The SDK executes tool calls on Vinkius's managed infrastructure, which handles connection pooling. Your edge functions won't hit rate limits even during high-traffic spikes.
Yes, the `get_country_by_code` tool allows your model to translate ISO codes into full profiles. The server passes this structured data directly to your streaming text generation function.
Your queries for country names, currencies, and languages run inside a secure, ephemeral V8 isolate sandbox. Vinkius never stores the country records or search parameters processed during your session.

Start using the REST Countries MCP today

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Built & Managed by Vinkius 30s setup 6 tools

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