Do I need an API Key?

No. The ADB KIDB API is completely open and requires zero authentication. The only limit is 20 queries per minute to maintain service stability.

What economies are covered?

The database covers all 49 ADB member economies across the Asia-Pacific region, including China, Japan, India, South Korea, all ASEAN nations, Central Asian republics, and Pacific Island states.

Asian Development Bank MCP Server for Pydantic AI 3 tools — connect in under 2 minutes

Name: Asian Development Bank
Availability: InStock
Author: Vinkius

ai.pydantic.dev/mcp

Built by Vinkius GDPR 3 Tools SDK

Pydantic AI brings type-safe agent development to Python with first-class MCP support. Connect Asian Development Bank through Vinkius and every tool is automatically validated against Pydantic schemas. catch errors at build time, not in production.

Get MCP Server for AI Agents

ASK AI ABOUT THIS MCP SERVER

Open in ChatGPT Open in Claude Open in Perplexity

Vinkius supports streamable HTTP and SSE.

python

import asyncio
from pydantic_ai import Agent
from pydantic_ai.mcp import MCPServerHTTP

async def main():
    # Your Vinkius token. get it at cloud.vinkius.com
    server = MCPServerHTTP(url="https://edge.vinkius.com/[YOUR_TOKEN_HERE]/mcp")

    agent = Agent(
        model="openai:gpt-4o",
        mcp_servers=[server],
        system_prompt=(
            "You are an assistant with access to Asian Development Bank "
            "(3 tools)."
        ),
    )

    result = await agent.run(
        "What tools are available in Asian Development Bank?"
    )
    print(result.data)

asyncio.run(main())

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* 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 Asian Development Bank MCP Server

The Asian Development Bank MCP Server connects your AI agent to the official Key Indicators Database (KIDB) maintained by the ADB — the principal multilateral development finance institution for the Asia-Pacific region.

Pydantic AI validates every Asian Development Bank tool response against typed schemas, catching data inconsistencies at build time. Connect 3 tools through Vinkius and switch between OpenAI, Anthropic, or Gemini without changing your integration code. full type safety, structured output guarantees, and dependency injection for testable agents.

Core Capabilities

GDP & National Accounts — Track economic output, growth rates, and GDP deflators across China, Japan, India, South Korea, and 45 other economies.
Inflation & Consumer Prices — Monitor CPI-based inflation trends that drive monetary policy in the world's fastest-growing markets.
Trade & Balance of Payments — Analyze import/export volumes and current account balances across the entire ASEAN corridor and beyond.
Shortcut Tools — Dedicated quick-access endpoints for GDP and inflation that require only economy codes and a start year.

Zero authentication required. Covers the full breadth of ADB member economies from Afghanistan to Vanuatu. Essential for macro analysts, fund managers, trade consultants, and policy researchers focused on the Asia-Pacific.

The Asian Development Bank MCP Server exposes 3 tools through the Vinkius. Connect it to Pydantic AI 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 Asian Development Bank to Pydantic AI via MCP

Follow these steps to integrate the Asian Development Bank MCP Server with Pydantic AI.

Install Pydantic AI

Run pip install pydantic-ai

Replace the token

Replace [YOUR_TOKEN_HERE] with your Vinkius token

Run the agent

Save to agent.py and run: python agent.py

Explore tools

The agent discovers 3 tools from Asian Development Bank with type-safe schemas

Why Use Pydantic AI with the Asian Development Bank MCP Server

Pydantic AI provides unique advantages when paired with Asian Development Bank through the Model Context Protocol.

Full type safety: every MCP tool response is validated against Pydantic models, catching data inconsistencies before they reach your application

Model-agnostic architecture. switch between OpenAI, Anthropic, or Gemini without changing your Asian Development Bank integration code

Structured output guarantee: Pydantic AI ensures tool results conform to defined schemas, eliminating runtime type errors

Dependency injection system cleanly separates your Asian Development Bank connection logic from agent behavior for testable, maintainable code

Asian Development Bank + Pydantic AI Use Cases

Practical scenarios where Pydantic AI combined with the Asian Development Bank MCP Server delivers measurable value.

Type-safe data pipelines: query Asian Development Bank with guaranteed response schemas, feeding validated data into downstream processing

API orchestration: chain multiple Asian Development Bank tool calls with Pydantic validation at each step to ensure data integrity end-to-end

Production monitoring: build validated alert agents that query Asian Development Bank and output structured, schema-compliant notifications

Testing and QA: use Pydantic AI's dependency injection to mock Asian Development Bank responses and write comprehensive agent tests

Asian Development Bank MCP Tools for Pydantic AI (3)

These 3 tools become available when you connect Asian Development Bank to Pydantic AI via MCP:

get_gdp_asia

Economy codes: PRC, JPN, IND, KOR, INO, THA, VIE, PHI. Get GDP data for Asia-Pacific economies

get_inflation_asia

Economy codes: PRC, JPN, IND, KOR, INO, THA, VIE, PHI. Get consumer price inflation rates for Asia-Pacific

query_adb_indicators

Dataflow IDs: ADB,EO_NA (GDP), ADB,EO_INF (Inflation), ADB,EO_BOP (Trade). Common indicators: NGDP_XDC (GDP), PCPI_PCH (CPI). Economy codes: PRC, JPN, IND, KOR, INO, PHI, THA, VIE. Use + to combine. Query macroeconomic indicators from the Asian Development Bank

Example Prompts for Asian Development Bank in Pydantic AI

Ready-to-use prompts you can give your Pydantic AI agent to start working with Asian Development Bank immediately.

"What is the GDP of China, Japan, and India from 2020 onwards?"

"Compare inflation rates between Southeast Asian countries over the last 5 years."

Troubleshooting Asian Development Bank MCP Server with Pydantic AI

Common issues when connecting Asian Development Bank to Pydantic AI through the Vinkius, and how to resolve them.

MCPServerHTTP not found

Update: pip install --upgrade pydantic-ai

Asian Development Bank + Pydantic AI FAQ

Common questions about integrating Asian Development Bank MCP Server with Pydantic AI.

How does Pydantic AI discover MCP tools?

Create an MCPServerHTTP instance with the server URL. Pydantic AI connects, discovers all tools, and generates typed Python interfaces automatically.

Does Pydantic AI validate MCP tool responses?

Yes. When you define result types as Pydantic models, every tool response is validated against the schema. Invalid data raises a clear error instead of silently corrupting your pipeline.

Can I switch LLM providers without changing MCP code?

Absolutely. Pydantic AI abstracts the model layer. your Asian Development Bank MCP integration works identically with OpenAI, Anthropic, Google, or any supported provider.