World Bank Labor & Trade MCP Server for LangChain 5 tools — connect in under 2 minutes
LangChain is the leading Python framework for composable LLM applications. Connect World Bank Labor & Trade through the 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({
"world-bank-labor-trade": {
"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 World Bank Labor & Trade, 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 World Bank Labor & Trade MCP Server
Leverage the World Bank API to power agentic research into international trade and labor markets.
LangChain's ecosystem of 500+ components combines seamlessly with World Bank Labor & Trade through native MCP adapters. Connect 5 tools via the 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.
What you can do
- Labor Markets — Check national unemployment rates and total labor force sizes.
- International Trade — Analyze a nation's reliance on exports and imports.
- Foreign Investment — Audit Foreign Direct Investment (FDI) inflows across borders.
The World Bank Labor & Trade MCP Server exposes 5 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 World Bank Labor & Trade to LangChain via MCP
Follow these steps to integrate the World Bank Labor & Trade 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 5 tools from World Bank Labor & Trade via MCP
Why Use LangChain with the World Bank Labor & Trade MCP Server
LangChain provides unique advantages when paired with World Bank Labor & Trade through the Model Context Protocol.
The largest ecosystem of integrations, chains, and agents — combine World Bank Labor & Trade 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 World Bank Labor & Trade queries for multi-turn workflows
World Bank Labor & Trade + LangChain Use Cases
Practical scenarios where LangChain combined with the World Bank Labor & Trade MCP Server delivers measurable value.
RAG with live data: combine World Bank Labor & Trade tool results with vector store retrievals for answers grounded in both real-time and historical data
Autonomous research agents: LangChain agents query World Bank Labor & Trade, synthesize findings, and generate comprehensive research reports
Multi-tool orchestration: chain World Bank Labor & Trade tools with web scrapers, databases, and calculators in a single agent run
Production monitoring: use LangSmith to trace every World Bank Labor & Trade tool call, measure latency, and optimize your agent's performance
World Bank Labor & Trade MCP Tools for LangChain (5)
These 5 tools become available when you connect World Bank Labor & Trade to LangChain via MCP:
get_exports
Get exports of goods/services (% of GDP)
get_fdi
Get Foreign Direct Investment, net inflows (% of GDP)
get_labor_force
Get total labor force
get_labor_trade_indicator
Get any World Bank labor/trade indicator by code
get_unemployment_rate
Get unemployment total (% of labor force)
Example Prompts for World Bank Labor & Trade in LangChain
Ready-to-use prompts you can give your LangChain agent to start working with World Bank Labor & Trade immediately.
"How heavily does Germany rely on exports compared to the UK?"
"What is the youth unemployment rate in Spain versus France?"
"Which emerging markets attract the most foreign direct investment?"
Troubleshooting World Bank Labor & Trade MCP Server with LangChain
Common issues when connecting World Bank Labor & Trade to LangChain through the Vinkius, and how to resolve them.
MultiServerMCPClient not found
pip install langchain-mcp-adaptersWorld Bank Labor & Trade + LangChain FAQ
Common questions about integrating World Bank Labor & Trade 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 World Bank Labor & Trade with your favorite client
Step-by-step setup guides for every MCP-compatible client and framework:
Anthropic's native desktop app for Claude with built-in MCP support.
AI-first code editor with integrated LLM-powered coding assistance.
GitHub Copilot in VS Code with Agent mode and MCP support.
Purpose-built IDE for agentic AI coding workflows.
Autonomous AI coding agent that runs inside VS Code.
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 World Bank Labor & Trade to LangChain
Get your token, paste the configuration, and start using 5 tools in under 2 minutes. No API key management needed.