How to Use the World Bank Labor & Trade MCP in CrewAI

Q: How does CrewAI manage World Bank Labor & Trade data?

The agents work together. One might call getfdi while a second agent concurrently calls getexports. The crew manages the inputs and ensures all retrieved World Bank Labor & Trade data is passed to the final analysis agent.

Q: What kind of specialized tasks can I assign using CrewAI for World Bank Labor & Trade?

You can specialize agents: one researches getunemploymentrate, another analyzes it, and a third drafts a summary report based on the combined findings.

Q: Can CrewAI pull diverse World Bank Labor & Trade metrics?

Absolutely. By using getlabortradeindicator, you can allow an agent to query any code the World Bank provides, giving your crew maximum flexibility in research.

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Connect World Bank Labor & Trade MCP to CrewAI

Create your Vinkius account to connect World Bank Labor & Trade to CrewAI 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 World Bank Labor & Trade with CrewAI

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Autonomous World Bank Labor & Trade Research

You build a crew where Agent A pulls raw data—say, `get_labor_force` and the `get_unemployment_rate`. Then, Agent B takes over to analyze those numbers against historical trends. The whole process runs autonomously. The specialized agents collaborate on World Bank Labor & Trade topics without needing human intervention for every step.

Coordinated Economic Policy Drafting with CrewAI

Set up a monitoring agent to watch key trade metrics, like `get_exports` and `get_fdi`. If the data suggests a dip in international capital flow, an escalation agent can automatically draft a policy memo. This is ideal for building autonomous operations that monitor global markets based on World Bank Labor & Trade indicators.

Deep Indicator Investigation via MCP Server

Give an investigator agent the task of checking multiple codes using `get_labor_trade_indicator`. The crew automatically runs through a list of potential metrics, gathering data points efficiently. The shared memory feature means that as one agent gathers data on labor force size, another can immediately reference it when writing its analysis.

Setup guide

Set up World Bank Labor & Trade MCP in CrewAI

Prerequisites

Python 3.10+ installed
crewai package (pip install crewai)
Active Vinkius subscription with a valid endpoint token

1

Install CrewAI
Run pip install crewai to install the framework. MCP support is built-in via the mcps parameter.
2

Add the MCP URL to your agent
Pass your Vinkius endpoint directly to the mcps list. Replace [YOUR_TOKEN_HERE] with your token from cloud.vinkius.com. CrewAI handles tool discovery and caching automatically.
3

Kick off your crew
Create a Crew with your agent and tasks. Call crew.kickoff() — the agent will automatically invoke World Bank Labor & Trade tools as needed.

crew.py

from crewai import Agent, Task, Crew

agent = Agent(
    role="World Bank Labor & Trade Analyst",
    goal="Access and analyze World Bank Labor & Trade data via MCP.",
    backstory="Expert analyst with direct World Bank Labor & Trade access.",
    mcps=[
        "https://edge.vinkius.com/[YOUR_TOKEN_HERE]/mcp"
    ],
)

task = Task(
    description="List recent World Bank Labor & Trade transactions",
    agent=agent,
    expected_output="A summary of recent activity",
)

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

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Prerequisites

Python 3.10+ installed
crewai + crewai-tools packages
Active Vinkius subscription with a valid endpoint token

1

Install dependencies
Run pip install crewai crewai-tools. The MCPServerAdapter handles lifecycle management and tool conversion.
2

Connect with MCPServerAdapter
Use MCPServerAdapter as a context manager with SseServerParameters pointing to your Vinkius endpoint. The adapter automatically manages connection lifecycle.
3

Assign tools and run
Pass the returned mcp_tools to your agent's tools parameter. The adapter converts MCP tools to native BaseTool objects compatible with all CrewAI agents.

crew.py

from crewai import Agent, Task, Crew
from crewai_tools import MCPServerAdapter
from mcp import SseServerParameters

server_params = SseServerParameters(
    url="https://edge.vinkius.com/[YOUR_TOKEN_HERE]/mcp"
)

with MCPServerAdapter(server_params) as mcp_tools:
    agent = Agent(
        role="World Bank Labor & Trade Analyst",
        goal="Access and analyze World Bank Labor & Trade data via MCP.",
        backstory="Expert analyst with direct World Bank Labor & Trade access.",
        tools=mcp_tools,
    )

    task = Task(
        description="List recent World Bank Labor & Trade transactions",
        agent=agent,
        expected_output="A summary of recent activity",
    )

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

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 World Bank Open Data. 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 World Bank Labor & Trade MCP in CrewAI

The agents work together. One might call `get_fdi` while a second agent concurrently calls `get_exports`. The crew manages the inputs and ensures all retrieved World Bank Labor & Trade data is passed to the final analysis agent.

You can specialize agents: one researches `get_unemployment_rate`, another analyzes it, and a third drafts a summary report based on the combined findings.

It covers quantitative metrics like percentages of GDP (FDI), absolute counts (labor force), and rates (unemployment). These are the core World Bank Labor & Trade measurements.

Yes. Because it runs specialized agents that collaborate and share memory, it’s perfect for building autonomous operations that require multi-faceted research across various economic indicators.

Absolutely. By using `get_labor_trade_indicator`, you can allow an agent to query any code the World Bank provides, giving your crew maximum flexibility in research.

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