How to Use the World Bank Education & Health MCP in CrewAI

Q: How does World Bank Education & Health data fit into CrewAI operations?

You expose the tools like geteduhealthindicator to your agents. The crew then determines, based on its role definitions, when and how often to call these tools to gather comprehensive social welfare statistics.

Q: What kind of data points can my CrewAI agents access for World Bank Education & Health?

Agents access global rates like getlifeexpectancy, infant mortality rates, and health expenditures. The primary data type is aggregated social welfare statistics from the World Bank.

Automate World Bank Education & Health Analysis Using Autonomous Agents with CrewAI.

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Connect World Bank Education & Health MCP to CrewAI

Create your Vinkius account to connect World Bank Education & Health 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 Education & Health with CrewAI

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Perplexity

Specialized Data Research

Assign a specialized agent to run the `get_edu_health_indicator` tool. This agent researches and gathers any World Bank education or health indicator by code, acting as a dedicated data collector for your crew. The shared memory of CrewAI allows the research findings from this initial step to be immediately passed to another agent for analysis, keeping the operation autonomous.

Complex Metric Synthesis

You can set up a multi-agent crew where one role focuses on economic metrics using `get_health_expenditure`. A second role then takes those spending figures and cross-references them with indicators from `get_infant_mortality`. This hierarchical execution means the agents collaborate to build a full picture of social welfare statistics, not just running tools sequentially.

Autonomous Reporting

Create an autonomous operation where one agent gathers `get_literacy_rate` and another compiles `get_life_expectancy`. The monitor agent watches the session to ensure both metrics are retrieved correctly before generating a final report. The crew handles the entire lifecycle—from tool invocation to final output—without needing human oversight.

Setup guide

Set up World Bank Education & Health 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 Education & Health tools as needed.

crew.py

from crewai import Agent, Task, Crew

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

task = Task(
    description="List recent World Bank Education & Health 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 Education & Health Analyst",
        goal="Access and analyze World Bank Education & Health data via MCP.",
        backstory="Expert analyst with direct World Bank Education & Health access.",
        tools=mcp_tools,
    )

    task = Task(
        description="List recent World Bank Education & Health 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 Education & Health MCP in CrewAI

You expose the tools like `get_edu_health_indicator` to your agents. The crew then determines, based on its role definitions, when and how often to call these tools to gather comprehensive social welfare statistics.

Agents access global rates like `get_life_expectancy`, infant mortality rates, and health expenditures. The primary data type is aggregated social welfare statistics from the World Bank.

Absolutely. You can assign specialized agents to work together: Agent A fetches `get_literacy_rate`, and Agent B fetches `get_edu_health_indicator`. They share the memory and build a unified data report.

The server pulls publicly available global statistics. The tools deal with aggregated indicators, meaning no sensitive individual user information is touched by the crew.

Yes. You can assign a monitor agent whose sole job is to check for status updates or discrepancies across different metric calls, ensuring the integrity of the social welfare statistics throughout the operation.

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