Who it is for
Public health analysts, epidemiologists and journalists tracking US disease activity.
AI Connectors · Healthcare & Life Sciences
Harmonised US disease surveillance signals from Yale public health
Overview
PopHIVE, from the Yale School of Public Health, harmonises US surveillance data that normally lives in incompatible systems: CDC reporting, Epic Cosmos records, wastewater monitoring and search trends among them. Coverage spans respiratory disease activity, chronic disease prevalence, injury trends including overdose and firearm data, and childhood vaccination rates, at state and county level. Levels, trends, rankings and correlations are computed on the server rather than in the reply, and each answer carries provenance, caveats and a deep link to the matching chart on pophive.org. Everything returned is public, aggregate and de-identified, and the endpoint answered a listing request without credentials.
Public health analysts, epidemiologists and journalists tracking US disease activity.
Six of the seven tools answer one shaped question each, covering current status, trend, map ranking, comparison, vaccination coverage and a cross-disease overview, while get_data is the escape hatch to the catalogue and raw series when those framings do not fit.
Availability
PopHIVE is listed in the Claude connectors directory only. Yale School of Public Health has no app under the same domain in the ChatGPT directory; 392 of the 3,150 products here are on both marketplaces, and this is not one of them.
The MCP server behind a Claude connector is usually the same server a ChatGPT app would need, so the absence is a distribution decision rather than a technical one.
Claude listing
PopHIVE publishes 7 tools to Claude. That is a mid-sized surface: 33.4% of the 1,253 Claude-listed connectors expose fewer.
The median Claude-listed connector filed under Healthcare & Life Sciences publishes 6, so this one runs one tool above its bucket's median and ranks 19th of 51 by tool count.
It falls in the 7-10 tools band, which holds 14.6% of the Claude directory.
A direct call to the endpoint returned 7 tools, matching the 7 the listing publishes. Probed 2026-08-07.
get_overviewget_current_statusget_trendget_mapcompareget_coverageget_dataPopHIVE publishes a remote MCP endpoint. Claude connects to it over HTTP; there is nothing to install locally.
Every connector in the Claude directory is remote, all 1,253 of them, so transport is not a differentiator there.
https://mcp.pophive.org/mcp PopHIVE carries partner verification in the Claude directory, which 474 of 1,253 listings do (37.8%). That is a review step past self-publishing, not an Anthropic-built server.
In the publisher's words
PopHIVE provides harmonized US public health surveillance data from the Yale School of Public Health. Ask about respiratory disease activity (RSV, flu, COVID, measles), chronic disease prevalence (diabetes, obesity), injury trends (overdose, firearm, heat illness), and childhood vaccination coverage across US states and counties. Signals are synthesized from CDC systems, Epic Cosmos, wastewater monitoring, Google Health Trends, and more. Every level, trend, rank, and correlation is computed server-side with full provenance, caveats, and a deep link to the matching pophive.org chart. All data is public, aggregate, and de-identified.
Quoted from the connector's own Claude directory listing as captured in August 2026. Node8 did not write it and does not vouch for it.
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This is an independent catalogue entry compiled by Node8 from PopHIVE's public marketplace listing as it stood in August 2026. Listing facts come from the marketplaces; the comparisons against the rest of the directory and any live-endpoint measurements are Node8's. Node8 is not affiliated with Yale School of Public Health, and inclusion here is not an endorsement.
Node8 builds MCP servers end to end: deciding which tools are worth exposing, the authentication and permission model, the review submissions, and the onboarding that gets them used. One server serves ChatGPT, Claude, and Microsoft Copilot.