How to Use the Asian Development Bank MCP in LangChain

Q: How do I connect the Asian Development Bank MCP Server to LangChain?

Initialize MultiServerMCPClient with the Vinkius HTTP transport URL. Then call client.gettools() and pass the resulting array to your ReAct agent.

Build macroeconomic reasoning pipelines with LangChain by plugging Asian Development Bank data directly into your agents.

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Connect Asian Development Bank MCP to LangChain

Create your Vinkius account to connect Asian Development Bank to LangChain and route execution through our secure gateway. The platform manages server hosting, runtime updates, and security layers. Configuration requires no manual server provisioning.

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Setup Asian Development Bank with LangChain

Ask AI about this MCP

ChatGPT

Claude

Perplexity

Pull regional economic metrics

The `get_gdp_asia` tool pulls gross domestic product metrics for specific economies like JPN or IND into your LangChain workspace. Your ReAct agent reads the request, decides it needs Japanese economic data, and fires off the exact parameter match without prompting. LangSmith captures the entire transaction. You see the token usage for the tool call alongside the actual HTTP latency from the Vinkius endpoint, letting you debug slow chain links immediately.

Calculate real yields

The `get_inflation_asia` tool feeds consumer price index changes into your multi-step workflows. An agent grabs the inflation rate for the Philippines, holds it in memory, and passes that exact float into a math tool to calculate real yield on a local bond. This MCP Server handles the connection logic. You just add the Vinkius endpoint to `MultiServerMCPClient`, call `get_tools()`, and your agent instantly knows how to request regional price data.

query_adb_indicators for LangChain MCP Server

The `query_adb_indicators` tool lets your LangChain setup query complex dataflows like trade balances or national accounts. You pass dataflow IDs like ADB,EO_BOP combined with economy codes to get precise macroeconomic vectors. Because chains are composable, this raw indicator data flows straight into your vector stores. Your agent pulls the numeric data, formats it into a prompt, and generates a regional economic brief in one execution pass.

Setup guide

Set up Asian Development Bank MCP in LangChain

Prerequisites

Python 3.10+ installed
langchain-mcp-adapters + langgraph packages
Active Vinkius subscription with a valid endpoint token

1

Install dependencies
Run pip install langchain-mcp-adapters langgraph langchain-openai. The MCP adapters package converts MCP tools into native LangChain BaseTool objects.
2

Connect via HTTP transport
Use MultiServerMCPClient with "transport": "http" pointing to your Vinkius endpoint. Replace [YOUR_TOKEN_HERE] with your token from cloud.vinkius.com.
3

Create a ReAct agent
Pass the discovered tools to create_react_agent() from LangGraph. The agent automatically routes Asian Development Bank tool calls through the MCP protocol.
4

Run with any LLM
Swap ChatOpenAI for ChatAnthropic, ChatGoogleGenerativeAI, or any LangChain-compatible model. The MCP tools work identically across all providers.

agent.py

from langchain_mcp_adapters.client import MultiServerMCPClient
from langgraph.prebuilt import create_react_agent
from langchain_openai import ChatOpenAI

async with MultiServerMCPClient({
    "asian-development-bank-mcp": {
        "transport": "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,
    )
    result = await agent.ainvoke({
        "messages": "List recent Asian Development Bank transactions"
    })
    print(result["messages"][-1].content)

Get your connection token →

Independent Platform Disclaimer: Vinkius is an independent platform and is not affiliated with, endorsed by, sponsored by, verified by, or otherwise authorized by Asian Development Bank. 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 Asian Development Bank MCP in LangChain

Initialize `MultiServerMCPClient` with the Vinkius HTTP transport URL. Then call `client.get_tools()` and pass the resulting array to your ReAct agent.

Yes. The tools accept multiple economy codes like PRC and IND in a single call. The agent formats the payload automatically based on the tool schema.

Every execution registers as a tool invocation in your LangSmith traces. You track exactly what parameters the agent sent and how long the Vinkius endpoint took to respond.

The tools strictly validate against supported codes like KOR, INO, and THA. An invalid code returns an error message that the ReAct agent reads, allowing it to correct the parameter and retry.

Vinkius runs the MCP Server in an ephemeral V8 isolate sandbox. Your agent requests public GDP and inflation metrics, and zero local application state or proprietary chain logic ever leaves your environment.

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