How do I get started?

Our World Bank Open Data servers require absolutely zero authentication. You do not need to register, get an API key, or setup webhooks. Just instantly connect and your AI agent can begin querying decades of global data.

Can it show me the total size of a competitive workforce?

Yes! Your agent can pull the total labor force number to help multi-national corporations decide on global expansion targets and office placements.

Can my AI analyze foreign direct investment (FDI)?

Precisely. The agent can pull 'FDI net inflows as % of GDP' to measure how effectively a nation attracts international capital.

What is the scale of the data I can access?

You have direct access to 64 years of historical data covering 196+ sovereign states and global regional aggregates, powered directly by the World Bank's robust open data initiatives.

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

Name: World Bank Labor & Trade
Availability: InStock
Author: Vinkius

docs.crewai.com/mcp/overview

Built by Vinkius GDPR 5 Tools Framework

Connect your CrewAI agents to World Bank Labor & Trade through the Vinkius — pass the Edge URL in the `mcps` parameter and every World Bank Labor & Trade tool is auto-discovered at runtime. No credentials to manage, no infrastructure to maintain.

Get MCP Server for AI Agents

ASK AI ABOUT THIS MCP SERVER

Open in ChatGPT Open in Claude Open in Perplexity

Vinkius supports streamable HTTP and SSE.

python

from crewai import Agent, Task, Crew

agent = Agent(
    role="World Bank Labor & Trade Specialist",
    goal="Help users interact with World Bank Labor & Trade effectively",
    backstory=(
        "You are an expert at leveraging World Bank Labor & Trade tools "
        "for automation and data analysis."
    ),
    # Your Vinkius token — get it at cloud.vinkius.com
    mcps=["https://edge.vinkius.com/[YOUR_TOKEN_HERE]/mcp"],
)

task = Task(
    description=(
        "Explore all available tools in World Bank Labor & Trade "
        "and summarize their capabilities."
    ),
    agent=agent,
    expected_output=(
        "A detailed summary of 5 available tools "
        "and what they can do."
    ),
)

crew = Crew(agents=[agent], tasks=[task])
result = crew.kickoff()
print(result)

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* 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.

When paired with CrewAI, World Bank Labor & Trade becomes a first-class tool in your multi-agent workflows. Each agent in the crew can call World Bank Labor & Trade tools autonomously — one agent queries data, another analyzes results, a third compiles reports — all orchestrated through the Vinkius with zero configuration overhead.

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 CrewAI 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 CrewAI via MCP

Follow these steps to integrate the World Bank Labor & Trade MCP Server with CrewAI.

Install CrewAI

Run pip install crewai

Replace the token

Replace [YOUR_TOKEN_HERE] with your Vinkius token from cloud.vinkius.com

Customize the agent

Adjust the role, goal, and backstory to fit your use case

Run the crew

Run python crew.py — CrewAI auto-discovers 5 tools from World Bank Labor & Trade

Why Use CrewAI with the World Bank Labor & Trade MCP Server

CrewAI Multi-Agent Orchestration Framework provides unique advantages when paired with World Bank Labor & Trade through the Model Context Protocol.

Multi-agent collaboration lets you decompose complex workflows into specialized roles — one agent researches, another analyzes, a third generates reports — each with access to MCP tools

CrewAI's native MCP integration requires zero adapter code: pass the Vinkius Edge URL directly in the `mcps` parameter and agents auto-discover every available tool at runtime

Built-in task delegation and shared memory mean agents can pass context between steps without manual state management, enabling multi-hop reasoning across tool calls

Sequential and hierarchical crew patterns map naturally to real-world workflows: enumerate subdomains → analyze DNS history → check WHOIS records → compile findings into actionable reports

World Bank Labor & Trade + CrewAI Use Cases

Practical scenarios where CrewAI combined with the World Bank Labor & Trade MCP Server delivers measurable value.

Automated multi-step research: a reconnaissance agent queries World Bank Labor & Trade for raw data, then a second analyst agent cross-references findings and flags anomalies — all without human handoff

Scheduled intelligence reports: set up a crew that periodically queries World Bank Labor & Trade, analyzes trends over time, and generates executive briefings in markdown or PDF format

Multi-source enrichment pipelines: chain World Bank Labor & Trade tools with other MCP servers in the same crew, letting agents correlate data across multiple providers in a single workflow

Compliance and audit automation: a compliance agent queries World Bank Labor & Trade against predefined policy rules, generates deviation reports, and routes findings to the appropriate team

World Bank Labor & Trade MCP Tools for CrewAI (5)

These 5 tools become available when you connect World Bank Labor & Trade to CrewAI 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 CrewAI

Ready-to-use prompts you can give your CrewAI 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 CrewAI

Common issues when connecting World Bank Labor & Trade to CrewAI through the Vinkius, and how to resolve them.

MCP tools not discovered

Ensure the Edge URL is correct. CrewAI connects lazily when the crew starts — check console output.

Agent not using tools

Make the task description specific. Instead of "do something", say "Use the available tools to list contacts".

Timeout errors

CrewAI has a 10s connection timeout by default. Ensure your network can reach the Edge URL.

Rate limiting or 429 errors

The Vinkius enforces per-token rate limits. Check your subscription tier and request quota in the dashboard. Upgrade if you need higher throughput.

World Bank Labor & Trade + CrewAI FAQ

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

How does CrewAI discover and connect to MCP tools?

CrewAI connects to MCP servers lazily — when the crew starts, each agent resolves its MCP URLs and fetches the tool catalog via the standard tools/list method. This means tools are always fresh and reflect the server's current capabilities. No tool schemas need to be hardcoded.

Can different agents in the same crew use different MCP servers?

Yes. Each agent has its own mcps list, so you can assign specific servers to specific roles. For example, a reconnaissance agent might use a domain intelligence server while an analysis agent uses a vulnerability database server.

What happens when an MCP tool call fails during a crew run?

CrewAI wraps tool failures as context for the agent. The LLM receives the error message and can decide to retry with different parameters, fall back to a different tool, or mark the task as partially complete. This resilience is critical for production workflows.

Can CrewAI agents call multiple MCP tools in parallel?

CrewAI agents execute tool calls sequentially within a single reasoning step. However, you can run multiple agents in parallel using process=Process.parallel, each calling different MCP tools concurrently. This is ideal for workflows where separate data sources need to be queried simultaneously.

Can I run CrewAI crews on a schedule (cron)?

Yes. CrewAI crews are standard Python scripts, so you can invoke them via cron, Airflow, Celery, or any task scheduler. The crew.kickoff() method runs synchronously by default, making it straightforward to integrate into existing pipelines.