Pricing

Pay per usage

Public Health Intelligence MCP Server

MCP server for public health data. Gives AI assistants access to CDC datasets and WHO Global Health Observatory indicators for epidemiological research.

Pricing

Pay per usage

Rating

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Developer

CoDee

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Monthly active users

10 hours ago

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Categories

Integrations

You can access the Public Health Intelligence MCP Server programmatically from your own applications by using the Apify API. You can also choose the language preference from below. To use the Apify API, you’ll need an Apify account and your API token, found in Integrations settings in Apify Console.

Python

JavaScript

CLI

OpenAPI

HTTP

MCP

1from apify_client import ApifyClient
2
3# Initialize the ApifyClient with your Apify API token
4# Replace '<YOUR_API_TOKEN>' with your token.
5client = ApifyClient("<YOUR_API_TOKEN>")
6
7# Prepare the Actor input
8run_input = {}
9
10# Run the Actor and wait for it to finish
11run = client.actor("martc03/public-health-mcp").call(run_input=run_input)
12
13# Fetch and print Actor results from the run's dataset (if there are any)
14print("💾 Check your data here: https://console.apify.com/storage/datasets/" + run["defaultDatasetId"])
15for item in client.dataset(run["defaultDatasetId"]).iterate_items():
16    print(item)
17
18# 📚 Want to learn more 📖? Go to → https://docs.apify.com/api/client/python/docs/quick-start

Public Health Intelligence MCP Server for AI API in Python

The Apify API client for Python is the official library that allows you to use Public Health Intelligence MCP Server API in Python, providing convenience functions and automatic retries on errors.

Install the apify-client

$pip install apify-client

Other API clients include:

Public Health Intelligence MCP Server API in JavaScript

Public Health Intelligence MCP Server API through CLI

Public Health Intelligence MCP Server OpenAPI definition

Public Health Intelligence MCP Server API

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