WHO Athena API MCP Server for LlamaIndex 4 tools — connect in under 2 minutes
LlamaIndex specializes in data-aware AI agents that connect LLMs to structured and unstructured sources. Add WHO Athena API as an MCP tool provider through Vinkius and your agents can query, analyze, and act on live data alongside your existing indexes.
ASK AI ABOUT THIS MCP SERVER
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 Athena API. "
"You have 4 tools available."
),
)
response = await agent.run(
"What tools are available in WHO Athena API?"
)
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 Athena API MCP Server
Empower your AI agent to orchestrate your entire public health research and policy auditing workflow with the WHO Athena API, the authoritative source for global health indicators from the World Health Organization. By connecting the WHO GHO service to your agent, you transform complex medical searches into a natural conversation. Your agent can instantly retrieve historical datasets, audit regional health trends, and query specific indicator codes without you ever touching a health portal. Whether you are conducting epidemiological research or managing regional policy constraints, your agent acts as a real-time health analyst, ensuring your intelligence is always verified and precise.
LlamaIndex agents combine WHO Athena API tool responses with indexed documents for comprehensive, grounded answers. Connect 4 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 Auditing — Retrieve high-resolution statistical data for thousands of WHO health identifiers and maintain a clear view of global health changes.
- Trend Oversight — Audit historical health statistics to understand the longitudinal distribution of medical scale instantly.
- Dimension Discovery — Browse all available observation dimensions like 'country' or 'year' to maintain strict organizational control over your research.
- Medical Intelligence — Retrieve unique indicator codes and observation metadata to assist in deep-dive archival classification.
- Operational Monitoring — Check API status to ensure your health research workflow is always operational.
The WHO Athena API MCP Server exposes 4 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 Athena API to LlamaIndex via MCP
Follow these steps to integrate the WHO Athena API 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 4 tools from WHO Athena API
Why Use LlamaIndex with the WHO Athena API MCP Server
LlamaIndex provides unique advantages when paired with WHO Athena API through the Model Context Protocol.
Data-first architecture: LlamaIndex agents combine WHO Athena API tool responses with indexed documents for comprehensive, grounded answers
Query pipeline framework lets you chain WHO Athena API tool calls with transformations, filters, and re-rankers in a typed pipeline
Multi-source reasoning: agents can query WHO Athena API, a vector store, and a SQL database in a single turn and synthesize results
Observability integrations show exactly what WHO Athena API tools were called, what data was returned, and how it influenced the final answer
WHO Athena API + LlamaIndex Use Cases
Practical scenarios where LlamaIndex combined with the WHO Athena API MCP Server delivers measurable value.
Hybrid search: combine WHO Athena API real-time data with embedded document indexes for answers that are both current and comprehensive
Data enrichment: query WHO Athena API 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 Athena API for fresh data
Analytical workflows: chain WHO Athena API queries with LlamaIndex's data connectors to build multi-source analytical reports
WHO Athena API MCP Tools for LlamaIndex (4)
These 4 tools become available when you connect WHO Athena API to LlamaIndex via MCP:
check_api_status
Check if the WHO GHO Athena service is operational
get_health_indicator_data
Get data for a specific WHO health indicator code
list_health_dimensions
List all observation dimensions (e.g., country, year) available
list_health_indicators
List all health indicators available in the WHO GHO database
Example Prompts for WHO Athena API in LlamaIndex
Ready-to-use prompts you can give your LlamaIndex agent to start working with WHO Athena API immediately.
"Get data for 'Life expectancy at birth' (WHOSIS_000001) using WHO Athena."
"List all health indicators available in the WHO catalog."
"What are the latest observations for 'Child mortality rate'?"
Troubleshooting WHO Athena API MCP Server with LlamaIndex
Common issues when connecting WHO Athena API to LlamaIndex through the Vinkius, and how to resolve them.
BasicMCPClient not found
pip install llama-index-tools-mcpWHO Athena API + LlamaIndex FAQ
Common questions about integrating WHO Athena API 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 Athena API with your favorite client
Step-by-step setup guides for every MCP-compatible client and framework:
Anthropic's native desktop app for Claude with built-in MCP support.
AI-first code editor with integrated LLM-powered coding assistance.
GitHub Copilot in VS Code with Agent mode and MCP support.
Purpose-built IDE for agentic AI coding workflows.
Autonomous AI coding agent that runs inside VS Code.
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 Athena API to LlamaIndex
Get your token, paste the configuration, and start using 4 tools in under 2 minutes. No API key management needed.