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Integrate PopHIVE MCP with your AI CRM

Yale's harmonized US public health surveillance data, covering disease, vaccination, and health outcome trends.

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Explore Triggers and Actions

Compare

Side-by-side comparison of one disease across 2–5 US places, or agreement between surveillance sources in one place. For straightforward single-slice questions only (e.g. "is RSV worse in CT than NY?", "do wastewater and ED visits agree on COVID?"). If the answer needs anything beyond reading one precomputed evidence block, use get_data. Examples: "Is RSV worse in CT than NY?", "Compare diabetes in Texas vs California", "Do wastewater and ED visits agree on COVID?" Not for: one place's status (get_current_status), ranking many places (get_map). Call example: compare(disease='covid', geographies=['Texas', 'Florida']) Scope: US-only aggregate surveillance; relay the precomputed evidence, never re-derive numbers.

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Get coverage

US childhood vaccination coverage — the rate for one vaccine in one place and whether it meets targets. For straightforward single-slice questions only (e.g. "kindergarten MMR rate in Idaho?", "is Texas below 95% MMR?"). If the answer needs anything beyond reading one precomputed evidence block, use get_data. Examples: "Kindergarten MMR rate in Idaho?", "Is Texas below 95% MMR?", "Polio vaccination rate in Connecticut." Not for: disease activity (get_current_status), trends (get_trend), coverage rankings across states (get_map with disease='mmr'). Call example: get_coverage(vaccine='mmr', geography='Idaho') Scope: US-only aggregate surveillance; relay the precomputed evidence, never re-derive numbers.

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Get current status

Current-status verdict for one disease in one US place — level, direction, and risk right now. For straightforward single-slice questions only (e.g. "is flu rising in Texas?", "how bad is COVID nationally?"). If the answer needs anything beyond reading one precomputed evidence block, use get_data. Examples: "Is RSV rising in Connecticut?", "How bad is flu nationally?", "What is the risk of measles in Texas?", "Current COVID situation in New York." Not for: trends over time (get_trend), ranking geographies (get_map), vaccination coverage (get_coverage). Call example: get_current_status(disease='rsv', geography='Connecticut') Scope: US-only aggregate surveillance; relay the precomputed evidence, never re-derive numbers.

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Get data

Data catalog and raw-data gateway. The six specialized tools answer single-slice questions — current status, trend, map/ranking, A-vs-B compare, coverage — with server-verified evidence; try them first, escalating here costs one call. Use get_data when evidence can't carry the answer: multi-stratum gaps, history beyond the served window, complete lists, cross-dataset joins, custom math. Flow: (1) catalog, (2) disease='about' for the guide, (3) view schema + data_url, (4) download and compute — results are yours but carry the caveats and aren't server-verified. include_query=true returns a runnable pandas snippet. Topics: adhd, annual_wellness_visit, anxiety, breast_cancer_screening, cardiovascular_screening, cervical_cancer_screening, chlamydia_screening, colorectal_cancer_screening, combined7, covid19, depression, depression_screening, diabetes, diabetes_screening, dtap, firearm_injury, flu_vaccine_adult, heat_illness, hepa, hepb, hib, influenza, injury_deaths, measles, mmr, obesity, opioid_overdose, opioid_use_disorder, pcv, pelvic_exam, pneumococcal_vaccine_adult, polio, prostate_cancer_screening, rotavirus, rsv, vaccine_exemptions, varicella. Examples: "What does PopHIVE track?", "Do you have Lyme disease data?", "Vaccination gaps across insurance types", "Raw RSV data for Connecticut." Not for: 'is flu rising in Texas?' → get_current_status; 'rank states by COVID wastewater' → get_map; 'is RSV worse in CT than NY?' → compare. Call example: get_data(disease='rsv', view='overall_trend') Scope: US-only aggregate surveillance; relay the precomputed evidence, never re-derive numbers.

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Get map

Geographic ranking — which US states or counties are highest or lowest on one disease, by current level or recent change. For straightforward single-slice questions only (e.g. "which counties have the highest RSV?", "how does Texas rank on flu?"). If the answer needs anything beyond reading one precomputed evidence block, use get_data. Examples: "What parts of the US have the highest rates of flu right now?", "How do diabetes rates differ across the US by county?", "How does Texas rank?", "Which states are improving fastest on opioid overdose?" Not for: trends over time (get_trend), one place's status (get_current_status). Call example: get_map(disease='flu', geo_level='state', top_n=10) Scope: US-only aggregate surveillance; relay the precomputed evidence, never re-derive numbers.

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Get overview

Cross-disease situation report for one US state or the nation — what's elevated, rising, declining, or stale across every PopHIVE topic. For straightforward single-slice questions only (e.g. "anything elevated in Connecticut?", "public health sitrep for Florida?"). If the answer needs anything beyond reading one precomputed evidence block, use get_data. Examples: "What's going on health-wise in Texas?", "Public health sitrep for Florida", "Anything elevated in Connecticut?" Not for: a single disease (get_current_status), time series (get_trend), ranking states by one disease (get_map). Call example: get_overview(geography='Texas') Scope: US-only aggregate surveillance; relay the precomputed evidence, never re-derive numbers.

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Get trend

Trend over time for one disease in one US place — direction, peak, and change, optionally stratified or pinned to one source. For straightforward single-slice questions only (e.g. "how has RSV changed since January?", "flu trend in Ohio"). If the answer needs anything beyond reading one precomputed evidence block, use get_data. Examples: "What are the latest trends in COVID?", "How has flu changed since January?", "Diabetes trend in Ohio over 5 years." season_over_season evidence compares the current season to the immediately prior season only; for older seasons use get_data. Not for: a current-status verdict (get_current_status), ranking geographies (get_map), vaccination coverage (get_coverage). Call example: get_trend(disease='flu', geography='US', period='12w') Scope: US-only aggregate surveillance; relay the precomputed evidence, never re-derive numbers.

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How the PopHIVE MCP integration works

The PopHIVE MCP integration connects your Dench AI CRM directly to PopHIVE MCP, so agents can read and act on your PopHIVE MCP data as part of everyday work — answering questions in chat, keeping your CRM in sync, and running automations without anyone copying data between tools.

7 actions are available for agents to invoke on your behalf. Every call runs through PopHIVE MCP's own authorization, scoped to the account you connect.

Set up PopHIVE MCP in Dench

  1. 1

    Sign in to your Dench workspace and open Integrations.

  2. 2

    Find PopHIVE MCP and click Connect — you'll authorize access through PopHIVE MCP's own sign-in flow. No API keys or code required.

  3. 3

    Ask an agent to use PopHIVE MCP in chat, or call it from an automation.

  4. 4

    Manage or disconnect the connection any time from workspace settings.

Frequently asked questions

How does the PopHIVE MCP integration work with Dench?

The Dench PopHIVE MCP integration connects your AI CRM to PopHIVE MCP, so AI agents can work with your PopHIVE MCP data as part of chats, automations, and CRM workflows. You connect your account once, and every agent in your workspace can use it — governed by your workspace permissions.

What actions can AI agents perform with PopHIVE MCP via Dench?

The PopHIVE MCP integration currently exposes 7 actions, including Compare, Get coverage, Get current status, Get data, Get map, and Get overview. Agents invoke them on your behalf from chat or from automations.

Do I need to write code to connect PopHIVE MCP to Dench?

No. You connect PopHIVE MCP from your Dench workspace using PopHIVE MCP's own sign-in and authorization flow — no API keys to copy, no glue code to maintain.

Is the PopHIVE MCP integration secure?

Connections are authorized through PopHIVE MCP's own authentication flow, and Dench stores only the authorization needed to act on your behalf. You can review and disconnect the PopHIVE MCP connection from your workspace settings at any time.