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Harvard WHO Health MCP Server

Bring Global Health
to Claude Code

Learn how to connect Harvard WHO Health to Claude Code and start using 16 AI agent tools in minutes. Fully managed, enterprise secure, and ready to use without writing a single line of code.

MCP Inspector GDPR Free for Subscribers
Compare CountriesGet CountriesGet DimensionsGet Health ExpenditureGet Health WorkforceGet Hiv AidsGet ImmunizationGet Indicator DataGet Life ExpectancyGet MalariaGet Maternal HealthGet MortalityGet NcdGet TuberculosisGet Water SanitationSearch Indicators

Compatible with every major AI agent and IDE

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Harvard WHO Health

What is the Harvard WHO Health MCP Server?

Connect to the WHO Global Health Observatory (GHO) API — the world's most comprehensive source of global health statistics.

What you can do

  • Health Indicators — Search 1000+ indicators across all health domains
  • Life Expectancy — Track life expectancy at birth by country
  • Immunization — DTP3, measles, polio, BCG, and hepatitis B coverage
  • Infectious Diseases — HIV/AIDS prevalence, TB incidence, malaria estimates
  • NCDs — Diabetes, obesity, hypertension, tobacco, and alcohol data
  • Maternal Health — Maternal mortality ratios and reproductive health
  • Health Workforce — Physicians, nurses, dentists, pharmacists per 10,000 pop.
  • Health Expenditure — Per capita spending in PPP dollars
  • Water & Sanitation — WASH indicators for safe water and sanitation
  • Country Comparison — Compare any indicator across multiple countries

Who is this for?

  • Public Health Researchers — global health trends and burden of disease
  • Epidemiologists — disease surveillance and outbreak analysis
  • Policy Makers — evidence-based health policy decisions
  • Global Health Students — coursework and thesis research

Built-in capabilities (16)

compare_countries

Provide a comma-separated list of ISO 3-letter country codes. Returns the most recent 10 years of data for each country. Compare a health indicator across countries

get_countries

Returns ISO codes and country names for use with other indicator queries. Get list of WHO member countries

get_dimensions

Useful for understanding how to filter and disaggregate health data. Get WHO data dimensions metadata

get_health_expenditure

This indicator measures how much each country spends on healthcare, adjusted for purchasing power. Get health expenditure data

get_health_workforce

Supported types: "physicians", "nurses", "dentists", "pharmacists". Get health workforce density data

get_hiv_aids

Tracks the percentage of the population living with HIV, a critical indicator for public health programs and resource allocation. Get HIV/AIDS prevalence data

get_immunization

Supported shortcuts: "dtp3" (diphtheria-tetanus-pertussis), "measles", "polio", "bcg", "hepb3". Or use a WHO indicator code directly. Get immunization coverage data

get_indicator_data

g. "USA", "BRA", "GBR", "CHN", "IND"). Returns country, year, value, confidence intervals, and sex disaggregation. Get time-series data for a WHO indicator

get_life_expectancy

This is one of the most fundamental indicators of population health. Get life expectancy data

get_malaria

Essential for tracking the global burden of malaria, particularly in sub-Saharan Africa and Southeast Asia. Get malaria case estimates

get_maternal_health

This measures the number of maternal deaths per 100,000 live births, a critical indicator of reproductive health and healthcare quality. Get maternal mortality data

get_mortality

Common indicator codes: "NCDMORT3070" (NCD mortality), "CHILDMORTALITY" (under-5), "MATERNALMORTALITY". Use search_indicators to find specific codes. Get mortality data by cause

get_ncd

Supported shortcuts: "diabetes" (prevalence), "obesity" (BMI ≥30), "blood_pressure" (hypertension), "tobacco" (smoking), "alcohol" (consumption). Or use a WHO code. Get non-communicable disease data

get_tuberculosis

TB remains one of the top infectious disease killers worldwide, and this data tracks progress toward elimination. Get tuberculosis incidence data

get_water_sanitation

Supported types: "water" (safely managed drinking water), "sanitation" (safely managed sanitation), "hygiene" (basic hygiene facilities). Get water and sanitation data

search_indicators

Returns indicator codes and names. Use the indicator code with get_indicator_data to retrieve time-series data. Search 1000+ WHO health indicators

Why Claude Code?

Claude Code registers Harvard WHO Health as an MCP server in a single terminal command. Once connected, Claude Code discovers all 16 tools at runtime and can call them headlessly. ideal for CI/CD pipelines, cron jobs, and automated workflows where Harvard WHO Health data drives decisions without human intervention.

  • Single-command setup: claude mcp add registers the server instantly. no config files to edit or applications to restart

  • Terminal-native workflow means MCP tools integrate seamlessly into shell scripts, CI/CD pipelines, and automated DevOps tasks

  • Claude Code runs headlessly, enabling unattended batch processing using Harvard WHO Health tools in cron jobs or deployment scripts

  • Built by the same team that created the MCP protocol, ensuring first-class compatibility and the fastest adoption of new protocol features

See it in action

Harvard WHO Health in Claude Code

AI AgentVinkius
High Security·Kill Switch·Plug and Play
Why Vinkius

Harvard WHO Health and 4,000+ other MCP servers. One platform. One governance layer.

Teams that connect Harvard WHO Health to Claude Code through Vinkius don't need to source, host, or maintain individual MCP servers. Every tool call runs inside a hardened runtime with credential isolation, DLP, and a signed audit chain.

4,000+MCP Servers ready
<40msCold start
60%Token savings
Raw MCP
Vinkius
Server catalogFind and host yourself4,000+ managed
InfrastructureSelf-hostedSandboxed V8 isolates
Credential handlingPlaintext in configVault + runtime injection
Data loss preventionNoneConfigurable DLP policies
Kill switchNoneGlobal instant shutdown
Financial circuit breakersNonePer-server limits + alerts
Audit trailNoneEd25519 signed logs
SIEM log streamingNoneSplunk, Datadog, Webhook
HoneytokensNoneCanary alerts on leak
Custom domainsNot applicableDNS challenge verified
GDPR complianceManual effortAutomated purge + export
Enterprise Security

Why teams choose Vinkius for Harvard WHO Health in Claude Code

The Harvard WHO Health 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. All 16 tools execute in hardened sandboxes optimized for native MCP execution.

Your AI agents in Claude Code only access the data you authorize, with DLP that blocks sensitive information from ever reaching the model, kill switch for instant shutdown, and up to 60% token savings. Enterprise-grade infrastructure, zero maintenance.

Harvard WHO Health
Fully ManagedVinkius Servers
60%Token savings
High SecurityEnterprise-grade
IAMAccess control
EU AI ActCompliant
DLPData protection
V8 IsolateSandboxed
Ed25519Audit chain
<40msKill switch
Stream every event to Splunk, Datadog, or your own webhook in real-time

* 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

The Vinkius Advantage

How Vinkius secures Harvard WHO Health for Claude Code

Every tool call from Claude Code to the Harvard WHO Health MCP Server is protected by DLP redaction, cryptographic audit chains, V8 sandbox isolation, kill switch, and financial circuit breakers.

< 40msCold start
Ed25519Signed audit chain
60%Token savings
FAQ

Frequently asked questions

01

Do I need an API key?

No. The WHO GHO API is completely free and public. No authentication required.

02

How many countries does WHO track?

The WHO Global Health Observatory tracks health data for all 194 Member States, plus territories and regions. Data spans from the 1990s to the present with annual updates.

03

What types of health data are available?

Over 1,000 indicators across mortality, morbidity, immunization, NCDs (diabetes, obesity), infectious diseases (HIV, TB, malaria), maternal health, health workforce, expenditure, water and sanitation, and more.

04

How do I add an MCP server to Claude Code?

Run claude mcp add <name> --transport http "<url>" in your terminal. Claude Code registers the server and discovers all tools immediately.

05

Can Claude Code run MCP tools in headless mode?

Yes. Claude Code supports non-interactive execution, making it ideal for scripts, cron jobs, and CI/CD pipelines that need MCP tool access.

06

How do I list all connected MCP servers?

Run claude mcp in your terminal to see all registered servers and their status, or type /mcp inside an active Claude Code session.

07

Command not found: claude

Ensure Claude Code is installed globally: npm install -g @anthropic-ai/claude-code

08

Connection timeout

Check your internet connection and verify the Edge URL is reachable

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