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pophive-mcp-server

by Cicatriiz·20·Score 40

MCP server providing access to Yale's PopHIVE public health data with comprehensive tools for health surveillance analysis.

ai-llmhealthdatabase
11
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2
Open issues
10 mo ago
Last commit
2d ago
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Overview

The PopHIVE MCP Server exposes near real-time public health data from authoritative sources including CDC surveillance systems, Epic Cosmos EHR networks, and Google Health Trends. It provides a comprehensive toolkit for epidemiologists and public health professionals with specialized MCP tools for data filtering, state comparisons, time series analysis, and multi-source health data searching. The server is production-ready with comprehensive dataset metadata, enhanced error handling, and full compliance with Anthropic's Desktop Extension specification.

Try asking AI

After installing, here are 5 things you can ask your AI assistant:

you:Epidemiologists analyzing vaccination coverage gaps and disease spread patterns
you:Public health researchers comparing health metrics across multiple states
you:Healthcare professionals monitoring real-time respiratory disease surveillance data
you:Which datasets are available through the PopHIVE MCP server?
you:What geographic levels are supported for data analysis?

When to choose this

Choose this MCP server when you need access to near real-time public health data from authoritative sources including CDC surveillance systems, Epic Cosmos EHR networks, and Google Health Trends for epidemiological research or public health analysis.

When NOT to choose this

Avoid this server if you need international health data, as it currently only covers US public health data, or if you require custom data sources not already available through PopHIVE.

Tools this server exposes

5 tools extracted from the README
  • filter_data

    Filter datasets by state, date range, demographics, and conditions

  • compare_states

    Compare health metrics across multiple states with statistical analysis

  • time_series_analysis

    Analyze health trends over time with aggregation options

  • get_available_datasets

    Get comprehensive catalog of all available datasets

  • search_health_data

    Search across datasets for specific conditions or keywords

Comparable tools

healthdata-mcpcdc-mcpepic-mcp

Installation

Installation

Option 1: Desktop Extension (Recommended)

**For Claude Desktop users:**

  1. Download the .dxt file from the releases page
  2. Double-click the file to open with Claude Desktop
  3. Click "Install" in the installation dialog
  4. Configure any required settings (update frequency, cache size)
  5. The extension will be automatically available in Claude Desktop

**For other MCP-enabled applications:**

  • Use the same .dxt file with any application supporting Desktop Extensions
  • Follow your application's extension installation process

Option 2: Manual Installation

**Prerequisites:**

  • Node.js 18+
  • npm or yarn

**Setup:**

  1. Clone and install dependencies:
git clone <repository-url>
cd pophive-mcp-server
npm install
  1. Configure environment (optional):
# Create .env file for custom configuration
echo "DATA_CACHE_DIR=./data" > .env
echo "UPDATE_FREQUENCY=daily" >> .env
  1. Test the server:
npm test
  1. Start the server:
npm start

Claude Desktop Configuration

Add to your Claude Desktop configuration:

{
  "mcpServers": {
    "pophive": {
      "command": "node",
      "args": ["server/index.js"],
      "cwd": "/path/to/pophive-mcp-server"
    }
  }
}

FAQ

Which datasets are available through the PopHIVE MCP server?
The server exposes 11 datasets including CDC National Immunization Survey data, respiratory disease surveillance, chronic disease prevalence, hospital capacity, injury/overdose data, and youth mental health emergency department visits.
What geographic levels are supported for data analysis?
Dataset support varies: some datasets provide national level data only, others support national and state-level analysis. Always check dataset capabilities using the 'get_available_datasets' tool before querying.

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Last updated · Auto-generated from public README + GitHub signals.