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.
Works with every AI agent you already use
…and any MCP-compatible client
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.
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.
Set up REST Countries 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 REST Countries 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 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
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