*Featured on Claude!* MCP server for accessing near real-time health data from Yale's PopHIVE platform, as well as additional HHS/CDC data
Config is the same across clients — only the file and path differ.
{
"mcpServers": {
"pophive": {
"cwd": "/path/to/pophive-mcp-server",
"args": [
"server/index.js"
],
"command": "node"
}
}
}Are you the author?
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Featured on Claude, try it out here: https://claude.ai/directory/ant.dir.gh.cicatriiz.pophive
Run this in your terminal to verify the server starts. Then let us know if it worked — your result helps other developers.
npx -y '@anthropic-ai/dxt' 2>&1 | head -1 && echo "✓ Server started successfully"
After testing, let us know if it worked:
Five weighted categories — click any category to see the underlying evidence.
No known CVEs.
Checked @anthropic-ai/dxt against OSV.dev.
Click any tool to inspect its schema.
immunizations_nisCDC National Immunization Survey data
dataset://immunizations_nis
immunizations_epicEpic Cosmos immunization data by demographics
dataset://immunizations_epic
respiratory_edEmergency department visits for respiratory viruses
dataset://respiratory_ed
respiratory_labLaboratory test positivity rates
dataset://respiratory_lab
respiratory_wastewaterWastewater viral surveillance data
dataset://respiratory_wastewater
respiratory_trendsGoogle search trends for respiratory symptoms
dataset://respiratory_trends
chronic_obesityObesity prevalence by state and age group
dataset://chronic_obesity
chronic_diabetesDiabetes prevalence and glycemic control data
dataset://chronic_diabetes
hospital_capacityHHS hospital capacity data
dataset://hospital_capacity
injury_overdoseCDC injury and overdose data
dataset://injury_overdose
youth_ed_mental_healthCDC youth mental health ED visit data
dataset://youth_ed_mental_health
immunization_gapsAnalyze vaccination coverage gaps by demographics
respiratory_surge_detectionDetect and analyze respiratory disease surges
chronic_disease_trendsAnalyze chronic disease prevalence trends
multi_source_analysisComprehensive analysis integrating multiple data sources
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Featured on Claude, try it out here: https://claude.ai/directory/ant.dir.gh.cicatriiz.pophive
A Model Context Protocol (MCP) server that provides access to PopHIVE (Population Health Information Visual Explorer) public health data from Yale School of Public Health. This server exposes comprehensive health surveillance data including immunizations, respiratory diseases, and chronic diseases through standardized MCP tools, resources, and prompts.
🎯 Production-Ready: All critical bugs fixed, enhanced error handling, and comprehensive dataset metadata included.
📦 Desktop Extension Ready: Fully compliant with Anthropic's Desktop Extension (DXT) specification for one-click installation in Claude Desktop and other MCP-enabled applications.
PopHIVE (Population Health Information Visual Explorer) is Yale's comprehensive platform that aggregates near real-time public health data from authoritative sources including CDC surveillance systems, Epic Cosmos EHR networks, and Google Health Trends. It's an invaluable resource for epidemiologists, researchers, and public health professionals.
👉 Explore PopHIVE: https://www.pophive.org/
Implemented scrapers for three new datasets:
Hospital Capacity: Fetches state-level hospital utilization data from HealthData.gov.
Injury & Overdose: Fetches national-level injury and overdose death data from data.cdc.gov.
Youth Mental Health ED Visits: Fetches national-level data on youth mental health-related emergency department visits from data.cdc.gov.
Implemented a parallel, batched initial fetch for the hospital capacity dataset to significantly speed up the first-time data download.
Added incremental update logic to all scrapers to only fetch new data, reducing subsequent load times.
Corrected date parsing logic in the analysis tools to robustly handle various date formats across all datasets.
Fixed an issue where the hospital capacity scraper was not fetching all records.
PopHIVE aggregates near real-time health data from multiple authoritative sources: