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Japan e-Stat MCP Server for Vercel AI SDK 2 tools — connect in under 2 minutes

Built by Vinkius GDPR 2 Tools SDK

The Vercel AI SDK is the TypeScript toolkit for building AI-powered applications. Connect Japan e-Stat through Vinkius and every tool is available as a typed function. ready for React Server Components, API routes, or any Node.js backend.

Vinkius supports streamable HTTP and SSE.

typescript
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 Japan e-Stat, list all available capabilities.",
    });
    console.log(text);
  } finally {
    await mcpClient.close();
  }
}

main();
Japan e-Stat
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Stream every event to Splunk, Datadog, or your own webhook in real-time

* 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 Japan e-Stat MCP Server

The Japan e-Stat MCP Server connects your AI agent to the official Portal of Government Statistics of Japan — the most comprehensive public data repository for the world's third-largest economy.

The Vercel AI SDK gives every Japan e-Stat tool full TypeScript type inference, IDE autocomplete, and compile-time error checking. Connect 2 tools through Vinkius and stream results progressively to React, Svelte, or Vue components. works on Edge Functions, Cloudflare Workers, and any Node.js runtime.

Core Capabilities

  • Table Search — Discover statistical tables across all Japanese government ministries by keyword. Covers census data, national accounts, industrial production, foreign trade, labor force surveys, and more.
  • Data Retrieval — Pull raw numerical data from any table, fully classified by category, geographic area, and time period.
  • English Support — The API supports lang=E for English-translated table names and categories where available.
Free API key required (instant registration at e-stat.go.jp). Japan publishes some of the most detailed and reliable economic statistics in the world, making this an essential resource for global macro analysis, trade research, and market intelligence.

The Japan e-Stat MCP Server exposes 2 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 Japan e-Stat to Vercel AI SDK via MCP

Follow these steps to integrate the Japan e-Stat MCP Server with Vercel AI SDK.

01

Install dependencies

Run npm install @ai-sdk/mcp ai @ai-sdk/openai

02

Replace the token

Replace [YOUR_TOKEN_HERE] with your Vinkius token

03

Run the script

Save to agent.ts and run with npx tsx agent.ts

04

Explore tools

The SDK discovers 2 tools from Japan e-Stat and passes them to the LLM

Why Use Vercel AI SDK with the Japan e-Stat MCP Server

Vercel AI SDK provides unique advantages when paired with Japan e-Stat through the Model Context Protocol.

01

TypeScript-first: every MCP tool gets full type inference, IDE autocomplete, and compile-time error checking out of the box

02

Framework-agnostic core works with Next.js, Nuxt, SvelteKit, or any Node.js runtime. same Japan e-Stat integration everywhere

03

Built-in streaming UI primitives let you display Japan e-Stat tool results progressively in React, Svelte, or Vue components

04

Edge-compatible: the AI SDK runs on Vercel Edge Functions, Cloudflare Workers, and other edge runtimes for minimal latency

Japan e-Stat + Vercel AI SDK Use Cases

Practical scenarios where Vercel AI SDK combined with the Japan e-Stat MCP Server delivers measurable value.

01

AI-powered web apps: build dashboards that query Japan e-Stat in real-time and stream results to the UI with zero loading states

02

API backends: create serverless endpoints that orchestrate Japan e-Stat tools and return structured JSON responses to any frontend

03

Chatbots with tool use: embed Japan e-Stat capabilities into conversational interfaces with streaming responses and tool call visibility

04

Internal tools: build admin panels where team members interact with Japan e-Stat through natural language queries

Japan e-Stat MCP Tools for Vercel AI SDK (2)

These 2 tools become available when you connect Japan e-Stat to Vercel AI SDK via MCP:

01

get_japan_stats_data

Use search_japan_statistics first to find the correct table ID. Returns category-classified data with time periods, areas, and values. Retrieve statistical data from a specific Japanese Government e-Stat table

02

search_japan_statistics

Returns table IDs, organization names, titles, and survey dates. Use the returned table ID with get_japan_stats_data to retrieve actual numbers. Keywords work in both English and Japanese. Common topics: population, GDP, industry, trade, employment, tourism, education, health. Search for statistical tables in the Japanese Government e-Stat database

Example Prompts for Japan e-Stat in Vercel AI SDK

Ready-to-use prompts you can give your Vercel AI SDK agent to start working with Japan e-Stat immediately.

01

"Find Japanese population statistics by prefecture."

02

"Fetch the latest Consumer Price Index (CPI) data for Tokyo."

03

"Show me the industrial production index for the automotive sector."

Troubleshooting Japan e-Stat MCP Server with Vercel AI SDK

Common issues when connecting Japan e-Stat to Vercel AI SDK through the Vinkius, and how to resolve them.

01

createMCPClient is not a function

Install: npm install @ai-sdk/mcp

Japan e-Stat + Vercel AI SDK FAQ

Common questions about integrating Japan e-Stat MCP Server with Vercel AI SDK.

01

How does the Vercel AI SDK connect to MCP servers?

Import createMCPClient from @ai-sdk/mcp and pass the server URL. The SDK discovers all tools and provides typed TypeScript interfaces for each one.
02

Can I use MCP tools in Edge Functions?

Yes. The AI SDK is fully edge-compatible. MCP connections work on Vercel Edge Functions, Cloudflare Workers, and similar runtimes.
03

Does it support streaming tool results?

Yes. The SDK provides streaming primitives like useChat and streamText that handle tool calls and display results progressively in the UI.

Connect Japan e-Stat to Vercel AI SDK

Get your token, paste the configuration, and start using 2 tools in under 2 minutes. No API key management needed.