# How to integrate PopHIVE MCP with ChatGPT Work

```json
{
  "title": "How to integrate PopHIVE MCP with ChatGPT Work",
  "toolkit": "PopHIVE MCP",
  "toolkit_slug": "pophive_mcp",
  "framework": "ChatGPT Work",
  "framework_slug": "chatgpt",
  "url": "https://composio.dev/toolkits/pophive_mcp/framework/chatgpt",
  "markdown_url": "https://composio.dev/toolkits/pophive_mcp/framework/chatgpt.md",
  "updated_at": "2026-08-09T06:42:33.014Z"
}
```

## Introduction

### How to integrate PopHIVE MCP with ChatGPT Work
[ChatGPT Work](https://openai.com/chatgpt-work/) is an agent inside ChatGPT built for your most ambitious work. It takes action across your apps and files, stays with a project for hours, and turns a goal into finished materials like sheets, slides, and docs - not just answers.
In this guide, I will explain the easiest and most secure way to connect your PopHIVE account to ChatGPT Work via Composio Connect, so it can compare covid vaccination trends by state, track influenza surveillance changes this season, analyze county disease outcome disparities through natural language commands without ever putting your account credentials at risk.

## Also integrate PopHIVE MCP with

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

## TL;DR

### Why use Composio over default connectors?
- Apps with read and write access. Default connectors mostly can read your data. Composio's PopHIVE integration lets ChatGPT Work take actions like creating drafts, sending updates, labeling records, and more.
- 1,000+ SaaS toolkits out of the box. Composio gives you instant access to a vast catalog of pre-built connectors, from Gmail and Slack to Notion, Linear, and Salesforce.
- One MCP server for every app. Connect any of your applications on demand through a single endpoint, rather than juggling a separate server for each app.
- Smart, context-aware tool loading. Unlike traditional MCP servers that dump every available tool into the LLM context window, Composio searches for and loads only the tools relevant to the task at hand.
- Cross-app automation. Chain actions across multiple apps in a single run - fetch a thread, summarize it in Notion, and post highlights to Slack without leaving the conversation.

## Connect PopHIVE MCP to ChatGPT Work

### Prerequisites
- A ChatGPT account with access to ChatGPT Work (rolling out across Pro, Enterprise, Edu, Plus, and Business plans). We will use the [ChatGPT desktop app](https://openai.com/chatgpt/download/), which is available on every plan.
- Access to the PopHIVE workspace you want to connect.
- [Composio MCP](https://dashboard.composio.dev/login?utm_source=toolkits&utm_medium=framework_template&utm_campaign=chatgpt&utm_content=composio_connect&next=%2F~%2Forg%2Fconnect%2Fclients%2Fchatgpt).
Note: Composio connects through OAuth. You will be asked to sign in and approve specific permissions. Review the permission screen carefully if you are using a work account.
### Step-by-step: Connect PopHIVE to ChatGPT Work
### 1. Open the MCP settings
In ChatGPT Work, go to Settings and open the Plugins section. Inside the Plugins page, click the MCP tab.
### 2. Add the server
Click Add server. In the Name field enter Composio, for Type select Streamable HTTP, and in the URL field paste the Composio MCP server URL:

```bash
https://connect.composio.dev/mcp
```

## What is the PopHIVE MCP server, and what's possible with it?

The PopHIVE MCP server is an implementation of the Model Context Protocol that connects your AI agent and assistants like Claude, Cursor, etc directly to your PopHIVE account. It provides structured and secure access so your agent can perform PopHIVE operations on your behalf.

## 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.

## Creating MCP Server - Stand-alone vs Composio SDK

Once connected, ChatGPT Work can access the PopHIVE MCP server via Composio to run actions that you authorize, directly in your workspace.

## Complete Code

None listed.

## How to build PopHIVE MCP Agent with another framework

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

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## Frequently Asked Questions

### What are the differences in Tool Router MCP and PopHIVE MCP?

With a standalone PopHIVE MCP server, the agents and LLMs can only access a fixed set of PopHIVE tools tied to that server. However, with the Composio Tool Router, agents can dynamically load tools from PopHIVE and many other apps based on the task at hand, all through a single MCP endpoint.

### Can I use Tool Router MCP with ChatGPT Work?

Yes, you can. ChatGPT Work fully supports MCP integration. You get structured tool calling, message history handling, and model orchestration while Tool Router takes care of discovering and serving the right PopHIVE tools.

### Can I manage the permissions and scopes for PopHIVE while using Tool Router?

Yes, absolutely. You can configure which PopHIVE scopes and actions are allowed when connecting your account to Composio. You can also bring your own OAuth credentials or API configuration so you keep full control over what the agent can do.

### How safe is my data with Composio Tool Router?

All sensitive data such as tokens, keys, and configuration is fully encrypted at rest and in transit. Composio is SOC 2 Type 2 compliant and follows strict security practices so your PopHIVE data and credentials are handled as safely as possible.

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