What health topics and indicators does the WHO GHO cover?

The GHO covers 2,200+ indicators across 40+ themes: life expectancy, child and maternal mortality, infectious diseases (HIV, TB, Malaria, COVID-19), non-communicable diseases (cancer, diabetes, cardiovascular), mental health, immunization coverage, nutrition, water/sanitation, air quality, road safety, tobacco use, and the full Sustainable Development Goals (SDG) monitoring framework.

Is the WHO GHO API free and does it require authentication?

Yes, the GHO OData API is completely free and open without any authentication. The data is published by the World Health Organization as a public good. There are no API keys, no registration, and no rate limits for reasonable usage. The data is updated regularly with the latest country reports.

Which countries are covered and what country codes should I use?

All 194 WHO member states plus territories are covered. Use ISO-3 country codes: BRA (Brazil), USA (United States), GBR (United Kingdom), JPN (Japan), DEU (Germany), IND (India), CHN (China), FRA (France), AUS (Australia), ZAF (South Africa), etc. Data availability varies by indicator and country reporting.

WHO GHO MCP Server for CrewAI 3 tools — connect in under 2 minutes

Name: WHO GHO
Availability: InStock
Author: Vinkius

docs.crewai.com/mcp/overview

Built by Vinkius GDPR 3 Tools Framework

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

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python

from crewai import Agent, Task, Crew

agent = Agent(
    role="WHO GHO Specialist",
    goal="Help users interact with WHO GHO effectively",
    backstory=(
        "You are an expert at leveraging WHO GHO 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 WHO GHO "
        "and summarize their capabilities."
    ),
    agent=agent,
    expected_output=(
        "A detailed summary of 3 available tools "
        "and what they can do."
    ),
)

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

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About WHO GHO MCP Server

Connect your AI agent to the WHO Global Health Observatory — the authoritative source for health statistics from all 194 member states of the World Health Organization.

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

What you can do

Indicator Search — Find among 2,200+ health indicators across topics: life expectancy, child mortality, HIV/AIDS, malaria, tuberculosis, obesity, mental health, immunization, water quality, air pollution, and more
Country-Level Data — Retrieve time-series data for any indicator filtered by country (ISO-3 codes), with sex disaggregation where available
Country Health Profiles — Get instant health snapshots for any country with key metrics: life expectancy, healthy life expectancy, child mortality, obesity prevalence, and alcohol consumption

The WHO GHO MCP Server exposes 3 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 WHO GHO to CrewAI via MCP

Follow these steps to integrate the WHO GHO 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 3 tools from WHO GHO

Why Use CrewAI with the WHO GHO MCP Server

CrewAI Multi-Agent Orchestration Framework provides unique advantages when paired with WHO GHO 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 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

WHO GHO + CrewAI Use Cases

Practical scenarios where CrewAI combined with the WHO GHO MCP Server delivers measurable value.

Automated multi-step research: a reconnaissance agent queries WHO GHO 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 WHO GHO, analyzes trends over time, and generates executive briefings in markdown or PDF format

Multi-source enrichment pipelines: chain WHO GHO 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 WHO GHO against predefined policy rules, generates deviation reports, and routes findings to the appropriate team

WHO GHO MCP Tools for CrewAI (3)

These 3 tools become available when you connect WHO GHO to CrewAI via MCP:

get_who_country_profile

Use ISO-3 country codes (BRA, USA, JPN, DEU, IND). Get a health snapshot for any country from WHO data

get_who_indicator_data

Returns values by year with sex disaggregation where available. Use search_who_indicators first to find codes. Get country-level data for a WHO health indicator

search_who_indicators

Returns indicator codes for further data retrieval. Search 2200+ global health indicators from the World Health Organization

Example Prompts for WHO GHO in CrewAI

Ready-to-use prompts you can give your CrewAI agent to start working with WHO GHO immediately.

"What is the life expectancy in Japan and how does it compare globally?"

"Search for WHO indicators related to tuberculosis worldwide."

"Give me a complete health snapshot for Brazil."

Troubleshooting WHO GHO MCP Server with CrewAI

Common issues when connecting WHO GHO 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

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

WHO GHO + CrewAI FAQ

Common questions about integrating WHO GHO 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.