Asian Development Bank MCP Server for LangChain 3 tools — connect in under 2 minutes
LangChain is the leading Python framework for composable LLM applications. Connect Asian Development Bank through Vinkius and LangChain agents can call every tool natively. combine them with retrievers, memory, and output parsers for sophisticated AI pipelines.
ASK AI ABOUT THIS MCP SERVER
Vinkius supports streamable HTTP and SSE.
import asyncio
from langchain_mcp_adapters.client import MultiServerMCPClient
from langchain_openai import ChatOpenAI
from langgraph.prebuilt import create_react_agent
async def main():
# Your Vinkius token. get it at cloud.vinkius.com
async with MultiServerMCPClient({
"asian-development-bank": {
"transport": "streamable_http",
"url": "https://edge.vinkius.com/[YOUR_TOKEN_HERE]/mcp",
}
}) as client:
tools = client.get_tools()
agent = create_react_agent(
ChatOpenAI(model="gpt-4o"),
tools,
)
response = await agent.ainvoke({
"messages": [{
"role": "user",
"content": "Using Asian Development Bank, show me what tools are available.",
}]
})
print(response["messages"][-1].content)
asyncio.run(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 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.
LangChain's ecosystem of 500+ components combines seamlessly with Asian Development Bank through native MCP adapters. Connect 3 tools via Vinkius and use ReAct agents, Plan-and-Execute strategies, or custom agent architectures. with LangSmith tracing giving full visibility into every tool call, latency, and token cost.
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.
The Asian Development Bank MCP Server exposes 3 tools through the Vinkius. Connect it to LangChain 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 LangChain via MCP
Follow these steps to integrate the Asian Development Bank MCP Server with LangChain.
Install dependencies
Run pip install langchain langchain-mcp-adapters langgraph langchain-openai
Replace the token
Replace [YOUR_TOKEN_HERE] with your Vinkius token
Run the agent
Save the code and run python agent.py
Explore tools
The agent discovers 3 tools from Asian Development Bank via MCP
Why Use LangChain with the Asian Development Bank MCP Server
LangChain provides unique advantages when paired with Asian Development Bank through the Model Context Protocol.
The largest ecosystem of integrations, chains, and agents. combine Asian Development Bank MCP tools with 500+ LangChain components
Agent architecture supports ReAct, Plan-and-Execute, and custom strategies with full MCP tool access at every step
LangSmith tracing gives you complete visibility into tool calls, latencies, and token usage for production debugging
Memory and conversation persistence let agents maintain context across Asian Development Bank queries for multi-turn workflows
Asian Development Bank + LangChain Use Cases
Practical scenarios where LangChain combined with the Asian Development Bank MCP Server delivers measurable value.
RAG with live data: combine Asian Development Bank tool results with vector store retrievals for answers grounded in both real-time and historical data
Autonomous research agents: LangChain agents query Asian Development Bank, synthesize findings, and generate comprehensive research reports
Multi-tool orchestration: chain Asian Development Bank tools with web scrapers, databases, and calculators in a single agent run
Production monitoring: use LangSmith to trace every Asian Development Bank tool call, measure latency, and optimize your agent's performance
Asian Development Bank MCP Tools for LangChain (3)
These 3 tools become available when you connect Asian Development Bank to LangChain 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 LangChain
Ready-to-use prompts you can give your LangChain 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 LangChain
Common issues when connecting Asian Development Bank to LangChain through the Vinkius, and how to resolve them.
MultiServerMCPClient not found
pip install langchain-mcp-adaptersAsian Development Bank + LangChain FAQ
Common questions about integrating Asian Development Bank MCP Server with LangChain.
How does LangChain connect to MCP servers?
langchain-mcp-adapters to create an MCP client. LangChain discovers all tools and wraps them as native LangChain tools compatible with any agent type.Which LangChain agent types work with MCP?
Can I trace MCP tool calls in LangSmith?
Connect Asian Development Bank with your favorite client
Step-by-step setup guides for every MCP-compatible client and framework:
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GitHub Copilot in VS Code with Agent mode and MCP support.
Purpose-built IDE for agentic AI coding workflows.
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Anthropic's agentic CLI for terminal-first development.
Python SDK for building production-grade OpenAI agent workflows.
Google's framework for building production AI agents.
Type-safe agent development for Python with first-class MCP support.
TypeScript toolkit for building AI-powered web applications.
TypeScript-native agent framework for modern web stacks.
Python framework for orchestrating collaborative AI agent crews.
Leading Python framework for composable LLM applications.
Data-aware AI agent framework for structured and unstructured sources.
Microsoft's framework for multi-agent collaborative conversations.
Connect Asian Development Bank to LangChain
Get your token, paste the configuration, and start using 3 tools in under 2 minutes. No API key management needed.
