World Bank Labor & Trade MCP Server for LlamaIndex 5 tools — connect in under 2 minutes
LlamaIndex specializes in data-aware AI agents that connect LLMs to structured and unstructured sources. Add World Bank Labor & Trade as an MCP tool provider through the Vinkius and your agents can query, analyze, and act on live data alongside your existing indexes.
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Vinkius supports streamable HTTP and SSE.
import asyncio
from llama_index.tools.mcp import BasicMCPClient, McpToolSpec
from llama_index.core.agent.workflow import FunctionAgent
from llama_index.llms.openai import OpenAI
async def main():
# Your Vinkius token — get it at cloud.vinkius.com
mcp_client = BasicMCPClient("https://edge.vinkius.com/[YOUR_TOKEN_HERE]/mcp")
mcp_tool_spec = McpToolSpec(client=mcp_client)
tools = await mcp_tool_spec.to_tool_list_async()
agent = FunctionAgent(
tools=tools,
llm=OpenAI(model="gpt-4o"),
system_prompt=(
"You are an assistant with access to World Bank Labor & Trade. "
"You have 5 tools available."
),
)
response = await agent.run(
"What tools are available in World Bank Labor & Trade?"
)
print(response)
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.
LlamaIndex agents combine World Bank Labor & Trade tool responses with indexed documents for comprehensive, grounded answers. Connect 5 tools through the Vinkius and query live data alongside vector stores and SQL databases in a single turn — ideal for hybrid search, data enrichment, and analytical workflows.
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 LlamaIndex 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 LlamaIndex via MCP
Follow these steps to integrate the World Bank Labor & Trade MCP Server with LlamaIndex.
Install dependencies
Run pip install llama-index-tools-mcp llama-index-llms-openai
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 5 tools from World Bank Labor & Trade
Why Use LlamaIndex with the World Bank Labor & Trade MCP Server
LlamaIndex provides unique advantages when paired with World Bank Labor & Trade through the Model Context Protocol.
Data-first architecture: LlamaIndex agents combine World Bank Labor & Trade tool responses with indexed documents for comprehensive, grounded answers
Query pipeline framework lets you chain World Bank Labor & Trade tool calls with transformations, filters, and re-rankers in a typed pipeline
Multi-source reasoning: agents can query World Bank Labor & Trade, a vector store, and a SQL database in a single turn and synthesize results
Observability integrations show exactly what World Bank Labor & Trade tools were called, what data was returned, and how it influenced the final answer
World Bank Labor & Trade + LlamaIndex Use Cases
Practical scenarios where LlamaIndex combined with the World Bank Labor & Trade MCP Server delivers measurable value.
Hybrid search: combine World Bank Labor & Trade real-time data with embedded document indexes for answers that are both current and comprehensive
Data enrichment: query World Bank Labor & Trade to augment indexed data with live information before generating user-facing responses
Knowledge base agents: build agents that maintain and update knowledge bases by periodically querying World Bank Labor & Trade for fresh data
Analytical workflows: chain World Bank Labor & Trade queries with LlamaIndex's data connectors to build multi-source analytical reports
World Bank Labor & Trade MCP Tools for LlamaIndex (5)
These 5 tools become available when you connect World Bank Labor & Trade to LlamaIndex 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 LlamaIndex
Ready-to-use prompts you can give your LlamaIndex 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 LlamaIndex
Common issues when connecting World Bank Labor & Trade to LlamaIndex through the Vinkius, and how to resolve them.
BasicMCPClient not found
pip install llama-index-tools-mcpWorld Bank Labor & Trade + LlamaIndex FAQ
Common questions about integrating World Bank Labor & Trade MCP Server with LlamaIndex.
How does LlamaIndex connect to MCP servers?
Can I combine MCP tools with vector stores?
Does LlamaIndex support async MCP calls?
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.
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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 World Bank Labor & Trade to LlamaIndex
Get your token, paste the configuration, and start using 5 tools in under 2 minutes. No API key management needed.
