# PopHIVE MCP

```json
{
  "name": "PopHIVE MCP",
  "slug": "pophive_mcp",
  "url": "https://composio.dev/toolkits/pophive_mcp",
  "markdown_url": "https://composio.dev/toolkits/pophive_mcp.md",
  "logo_url": "https://logos.composio.dev/api/pophive_mcp",
  "categories": [
    "data & analytics"
  ],
  "is_composio_managed": false,
  "updated_at": "2026-08-09T06:42:33.014Z"
}
```

![PopHIVE MCP logo](https://logos.composio.dev/api/pophive_mcp)

## Description

Securely connect your AI agents and chatbots (Claude, ChatGPT, Cursor, etc) with PopHIVE MCP or direct API to query surveillance datasets, compare disease trends, analyze vaccination patterns, and summarize health outcomes through natural language.

## Summary

PopHIVE MCP is Yale's harmonized US public health surveillance dataset for disease, vaccination, and health outcome trends.
Use it to query consistent public health signals across locations, time periods, and measures.

## Categories

- data & analytics

## Toolkit Details

- Tools: 7

## Images

- Logo: https://logos.composio.dev/api/pophive_mcp

## Authentication

- **No Auth**
  - Type: `custom`
  - Description: No Auth authentication for PopHIVE MCP.
  - Setup:
    - Configure No Auth credentials for PopHIVE MCP.
    - Use the credentials when creating an auth config in Composio.

## Suggested Prompts

- Compare COVID vaccination trends by state
- Track influenza surveillance changes this season
- Analyze county disease outcome disparities

## Supported Tools

| Tool slug | Name | Description |
|---|---|---|
| `POPHIVE_MCP_COMPARE` | 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. |
| `POPHIVE_MCP_GET_COVERAGE` | 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. |
| `POPHIVE_MCP_GET_CURRENT_STATUS` | 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. |
| `POPHIVE_MCP_GET_DATA` | 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. |
| `POPHIVE_MCP_GET_MAP` | 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. |
| `POPHIVE_MCP_GET_OVERVIEW` | 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. |
| `POPHIVE_MCP_GET_TREND` | 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. |

## Supported Triggers

None listed.

## Installation and MCP Setup

### Path 1: SDK Installation

#### Path 1, Step 1: Install Composio

Install the Composio SDK
```python
pip install composio_openai
```

```typescript
npm install @composio/openai
```

#### Path 1, Step 2: Initialize Composio and Create Tool Router Session

Import and initialize Composio client, then create a Tool Router session
```python
from openai import OpenAI
from composio import Composio
from composio_openai import OpenAIResponsesProvider

composio = Composio(provider=OpenAIResponsesProvider())
openai = OpenAI()
session = composio.create(user_id='your-user-id')
```

```typescript
import OpenAI from 'openai';
import { Composio } from '@composio/core';
import { OpenAIResponsesProvider } from '@composio/openai';

const composio = new Composio({
  provider: new OpenAIResponsesProvider(),
});
const openai = new OpenAI({});
const session = await composio.create('your-user-id');
```

#### Path 1, Step 3: Execute PopHIVE MCP Tools via Tool Router with Your Agent

Get tools from Tool Router session and execute PopHIVE MCP actions with your Agent
```python
tools = session.tools
response = openai.responses.create(
  model='gpt-4.1',
  tools=tools,
  input=[{
    'role': 'user',
    'content': 'Compare PopHIVE COVID-19 vaccination trends across California, Texas, and New York for the latest available period'
  }]
)
result = composio.provider.handle_tool_calls(
  response=response,
  user_id='your-user-id'
)
print(result)
```

```typescript
const tools = session.tools;
const response = await openai.responses.create({
  model: 'gpt-4.1',
  tools: tools,
  input: [{
    role: 'user',
    content: 'Compare PopHIVE COVID-19 vaccination trends across California, Texas, and New York for the latest available period'
  }],
});
const result = await composio.provider.handleToolCalls(
  'your-user-id',
  response.output
);
console.log(result);
```

### Path 2: MCP Server Setup

#### Path 2, Step 1: Install Composio

Install the Composio SDK for Python or TypeScript
```python
pip install composio claude-agent-sdk
```

```typescript
npm install @composio/core ai @ai-sdk/openai @ai-sdk/mcp
```

#### Path 2, Step 2: Initialize Client and Create Tool Router Session

Import and initialize the Composio client, then create a Tool Router session for PopHIVE MCP
```python
from composio import Composio
from claude_agent_sdk import ClaudeSDKClient, ClaudeAgentOptions

composio = Composio(api_key='your-composio-api-key')
session = composio.create(user_id='your-user-id')
url = session.mcp.url
```

```typescript
import { Composio } from '@composio/core';

const composio = new Composio({ apiKey: 'your-api-key' });
const session = await composio.create('your-user-id');
console.log(`Tool Router session created: ${session.mcp.url}`);
```

#### Path 2, Step 3: Connect to AI Agent

Use the MCP server with your AI agent (Anthropic Claude or Mastra)
```python
import asyncio

options = ClaudeAgentOptions(
    permission_mode='bypassPermissions',
    mcp_servers={
        'tool_router': {
            'type': 'http',
            'url': url,
            'headers': {
                'x-api-key': 'your-composio-api-key'
            }
        }
    },
    system_prompt='You are a helpful assistant with access to PopHIVE MCP tools.',
    max_turns=10
)

async def main():
    async with ClaudeSDKClient(options=options) as client:
        await client.query('Summarize recent influenza-like illness trends from PopHIVE across the Northeast United States')
        async for message in client.receive_response():
            if hasattr(message, 'content'):
                for block in message.content:
                    if hasattr(block, 'text'):
                        print(block.text)

asyncio.run(main())
```

```typescript
import { openai } from '@ai-sdk/openai';
import { experimental_createMCPClient as createMCPClient } from '@ai-sdk/mcp';
import { generateText } from 'ai';

const client = await createMCPClient({
  transport: {
    type: 'http',
    url: session.mcp.url,
    headers: {
      'x-api-key': 'your-composio-api-key',
    },
  },
});

const tools = await client.tools();
const { text } = await generateText({
  model: openai('gpt-4o'),
  tools,
  messages: [{
    role: 'user',
    content: 'Summarize recent influenza-like illness trends from PopHIVE across the Northeast United States'
  }],
  maxSteps: 5,
});

console.log(`Agent: ${text}`);
```

## Why Use Composio?

### 1. AI Native PopHIVE MCP Integration

- Supports both PopHIVE MCP and direct API based integrations
- Structured, LLM-friendly schemas for reliable public health data queries
- Rich coverage for querying, filtering, and summarizing PopHIVE disease, vaccination, and outcome trends

### 2. No Auth Setup

- PopHIVE MCP uses no authentication, so agents can start querying public health data fast
- No API keys, OAuth setup, or user credential flows to manage
- Composio still gives you a central place to route, observe, and control agent tool access

### 3. Agent Optimized Design

- Tools are tuned for AI agents to ask clear questions about public health surveillance data
- Reliable execution patterns help agents compare trends without messy custom integration code
- Comprehensive execution logs so you always know what ran, when, and on whose behalf

### 4. Enterprise Grade Security

- Fine-grained RBAC so you control which agents and users can access PopHIVE MCP
- Scoped access to public health surveillance tools through managed Tool Router sessions
- Full audit trail of agent actions to support review and compliance

## Use PopHIVE MCP with any AI Agent Framework

Choose a framework you want to connect PopHIVE MCP with:

- [ChatGPT Work](https://composio.dev/toolkits/pophive_mcp/framework/chatgpt)
- [Claude Cowork](https://composio.dev/toolkits/pophive_mcp/framework/claude-cowork)

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## Frequently Asked Questions

### Do I need my own developer credentials to use PopHIVE MCP with Composio?

No. PopHIVE MCP uses no authentication, so you don't need developer credentials. Composio still handles the agent-facing tool session, execution routing, logs, and access controls for your PopHIVE MCP workflows.

### Can I use multiple toolkits together?

Yes! Composio's Tool Router enables agents to use multiple toolkits. [Learn more](https://docs.composio.dev/tool-router/overview).

### Is Composio secure?

Composio is SOC 2 and ISO 27001 compliant with all data encrypted in transit and at rest. [Learn more](https://trust.composio.dev).

### What if the API changes?

Composio maintains and updates all toolkit integrations automatically, so your agents always work with the latest API versions.

---
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