How to Use the WHO GHO MCP in Pydantic AI
Ensure perfect accuracy with WHO GHO using Pydantic AI.
Works with every AI agent you already use
…and any MCP-compatible client
Connect WHO GHO MCP to Pydantic AI
Create your Vinkius account to connect WHO GHO to Pydantic AI and route execution through our secure gateway. The platform manages server hosting, runtime updates, and security layers. Configuration requires no manual server provisioning.
Get a country's health snapshot.
Need a quick view of a nation’s health? Use `get_who_country_profile`. Your agent calls this tool and gets back the data, which Pydantic then validates instantly against defined models. It’s rock solid. This means if the API sends bad or unexpected fields for a code like 'JPN', your agent fails loudly with an error—you never get corrupted data.
Track specific health indicators over time.
For historical context, use `get_who_indicator_data`. Your agent retrieves country-level values for a WHO indicator, detailing years and sex breakdowns. Pydantic ensures the output format is exactly what you expect. This validation layer means you don't have to worry about silent data corruption or hallucinated fields when processing complex time-series numbers.
Search global indicator codes.
Before getting specific data, run `search_who_indicators`. This tool searches through 2,200+ indicators from 194 countries. The result is immediately passed to Pydantic for validation. This gives you confidence that the list of available indicator codes your agent receives is clean and correct before proceeding with data retrieval.
Set up WHO GHO MCP in Pydantic AI
Prerequisites
- Python 3.10+ installed
-
pydantic-ai-slim[fastmcp]package - Active Vinkius subscription with a valid endpoint token
- 1
Install Pydantic AI with FastMCP
Run
pip install "pydantic-ai-slim[fastmcp]". The FastMCP toolset replaces the deprecatedMCPServerHTTPclass with full protocol support. - 2
Configure the FastMCPToolset
Pass a JSON-style config dict to
FastMCPToolsetwith your Vinkius URL. Replace[YOUR_TOKEN_HERE]with your token from cloud.vinkius.com. Supports Streamable HTTP, SSE, and Stdio transports. - 3
Create and run your agent
Pass the toolset to
Agent(toolsets=[toolset])and callagent.run(). Swapopenai:gpt-4ofor any supported model — Anthropic, Google, Mistral, or Groq.
from pydantic_ai import Agent
from pydantic_ai.toolsets.fastmcp import FastMCPToolset
toolset = FastMCPToolset({
"mcpServers": {
"who-gho-mcp": {
"url": "https://edge.vinkius.com/[YOUR_TOKEN_HERE]/mcp"
}
}
})
agent = Agent(
"openai:gpt-4o",
toolsets=[toolset],
system_prompt="You have access to WHO GHO tools.",
)
result = await agent.run("List recent WHO GHO transactions")
print(result.output)Independent Platform Disclaimer: Vinkius is an independent platform and is not affiliated with, endorsed by, sponsored by, verified by, or otherwise authorized by WHO. 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 WHO GHO MCP in Pydantic AI
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