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World Bank Labor & Trade MCP Server for LlamaIndex 5 tools — connect in under 2 minutes

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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.

Vinkius supports streamable HTTP and SSE.

python
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())
World Bank Labor & Trade
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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.

01

Install dependencies

Run pip install llama-index-tools-mcp llama-index-llms-openai

02

Replace the token

Replace [YOUR_TOKEN_HERE] with your Vinkius token

03

Run the agent

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

04

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.

01

Data-first architecture: LlamaIndex agents combine World Bank Labor & Trade tool responses with indexed documents for comprehensive, grounded answers

02

Query pipeline framework lets you chain World Bank Labor & Trade tool calls with transformations, filters, and re-rankers in a typed pipeline

03

Multi-source reasoning: agents can query World Bank Labor & Trade, a vector store, and a SQL database in a single turn and synthesize results

04

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.

01

Hybrid search: combine World Bank Labor & Trade real-time data with embedded document indexes for answers that are both current and comprehensive

02

Data enrichment: query World Bank Labor & Trade to augment indexed data with live information before generating user-facing responses

03

Knowledge base agents: build agents that maintain and update knowledge bases by periodically querying World Bank Labor & Trade for fresh data

04

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:

01

get_exports

Get exports of goods/services (% of GDP)

02

get_fdi

Get Foreign Direct Investment, net inflows (% of GDP)

03

get_labor_force

Get total labor force

04

get_labor_trade_indicator

Get any World Bank labor/trade indicator by code

05

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.

01

"How heavily does Germany rely on exports compared to the UK?"

02

"What is the youth unemployment rate in Spain versus France?"

03

"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.

01

BasicMCPClient not found

Install: pip install llama-index-tools-mcp

World Bank Labor & Trade + LlamaIndex FAQ

Common questions about integrating World Bank Labor & Trade MCP Server with LlamaIndex.

01

How does LlamaIndex connect to MCP servers?

Use the MCP client adapter to create a connection. LlamaIndex discovers all tools and wraps them as query engine tools compatible with any LlamaIndex agent.
02

Can I combine MCP tools with vector stores?

Yes. LlamaIndex agents can query World Bank Labor & Trade tools and vector store indexes in the same turn, combining real-time and embedded data for grounded responses.
03

Does LlamaIndex support async MCP calls?

Yes. LlamaIndex's async agent framework supports concurrent MCP tool calls for high-throughput data processing pipelines.

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.