WHO GHO MCP Server for LlamaIndex 3 tools — connect in under 2 minutes
LlamaIndex specializes in data-aware AI agents that connect LLMs to structured and unstructured sources. Add WHO GHO as an MCP tool provider through Vinkius and your agents can query, analyze, and act on live data alongside your existing indexes.
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Vinkius supports streamable HTTP and SSE.
import asyncio
from llama_index.tools.mcp import BasicMCPClient, McpToolSpec
from llama_index.core.agent.workflow import FunctionAgent
from llama_index.llms.openai import OpenAI
async def main():
# Your Vinkius token. get it at cloud.vinkius.com
mcp_client = BasicMCPClient("https://edge.vinkius.com/[YOUR_TOKEN_HERE]/mcp")
mcp_tool_spec = McpToolSpec(client=mcp_client)
tools = await mcp_tool_spec.to_tool_list_async()
agent = FunctionAgent(
tools=tools,
llm=OpenAI(model="gpt-4o"),
system_prompt=(
"You are an assistant with access to WHO GHO. "
"You have 3 tools available."
),
)
response = await agent.run(
"What tools are available in WHO GHO?"
)
print(response)
asyncio.run(main())
* 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 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.
LlamaIndex agents combine WHO GHO tool responses with indexed documents for comprehensive, grounded answers. Connect 3 tools through Vinkius and query live data alongside vector stores and SQL databases in a single turn. ideal for hybrid search, data enrichment, and analytical workflows.
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 LlamaIndex 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 LlamaIndex via MCP
Follow these steps to integrate the WHO GHO MCP Server with LlamaIndex.
Install dependencies
Run pip install llama-index-tools-mcp llama-index-llms-openai
Replace the token
Replace [YOUR_TOKEN_HERE] with your Vinkius token
Run the agent
Save to agent.py and run: python agent.py
Explore tools
The agent discovers 3 tools from WHO GHO
Why Use LlamaIndex with the WHO GHO MCP Server
LlamaIndex provides unique advantages when paired with WHO GHO through the Model Context Protocol.
Data-first architecture: LlamaIndex agents combine WHO GHO tool responses with indexed documents for comprehensive, grounded answers
Query pipeline framework lets you chain WHO GHO tool calls with transformations, filters, and re-rankers in a typed pipeline
Multi-source reasoning: agents can query WHO GHO, a vector store, and a SQL database in a single turn and synthesize results
Observability integrations show exactly what WHO GHO tools were called, what data was returned, and how it influenced the final answer
WHO GHO + LlamaIndex Use Cases
Practical scenarios where LlamaIndex combined with the WHO GHO MCP Server delivers measurable value.
Hybrid search: combine WHO GHO real-time data with embedded document indexes for answers that are both current and comprehensive
Data enrichment: query WHO GHO to augment indexed data with live information before generating user-facing responses
Knowledge base agents: build agents that maintain and update knowledge bases by periodically querying WHO GHO for fresh data
Analytical workflows: chain WHO GHO queries with LlamaIndex's data connectors to build multi-source analytical reports
WHO GHO MCP Tools for LlamaIndex (3)
These 3 tools become available when you connect WHO GHO to LlamaIndex 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 LlamaIndex
Ready-to-use prompts you can give your LlamaIndex 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 LlamaIndex
Common issues when connecting WHO GHO to LlamaIndex through the Vinkius, and how to resolve them.
BasicMCPClient not found
pip install llama-index-tools-mcpWHO GHO + LlamaIndex FAQ
Common questions about integrating WHO GHO MCP Server with LlamaIndex.
How does LlamaIndex connect to MCP servers?
Can I combine MCP tools with vector stores?
Does LlamaIndex support async MCP calls?
Connect WHO GHO with your favorite client
Step-by-step setup guides for every MCP-compatible client and framework:
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Anthropic's agentic CLI for terminal-first development.
Python SDK for building production-grade OpenAI agent workflows.
Google's framework for building production AI agents.
Type-safe agent development for Python with first-class MCP support.
TypeScript toolkit for building AI-powered web applications.
TypeScript-native agent framework for modern web stacks.
Python framework for orchestrating collaborative AI agent crews.
Leading Python framework for composable LLM applications.
Data-aware AI agent framework for structured and unstructured sources.
Microsoft's framework for multi-agent collaborative conversations.
Connect WHO GHO to LlamaIndex
Get your token, paste the configuration, and start using 3 tools in under 2 minutes. No API key management needed.