# pandemic-biosurveillance-mcp

> pandemic-biosurveillance-mcp — apifyforge-pandemic-biosurveillance-mcp. Use this tool when you need to analyze and predict the spread of infectious diseases, leveraging live data from multiple public health sources to inform epidemic modeling and decision-making. It solves problems related to disease outbreak forecasting, risk assessment, and resource allocation, providing outputs such as transmission rates and outbreak probability. Ideal for use in public health emergencies, research, and policy development, this tool accepts inputs from various data sources and outputs actionable insights for stakeholders.

Canonical page: https://skillsregistry.net/skills/apifyforge-pandemic-biosurveillance-mcp  
JSON: https://api.skillsregistry.net/v1/skills/apifyforge-pandemic-biosurveillance-mcp

## Description

Pandemic biosurveillance intelligence for AI agents — 8 mathematically rigorous epidemic modeling tools backed by live data from 16 public health, ecological, and environmental sources.

## Trust

- **Trust score (0–1):** 1.00
- **Verification tier:** verified
- **Last scanned:** 2026-09-28

## Facts

- **Version:** 1.0.0
- **Skill type:** atomic
- **Execution layer:** container
- **Runtime environment:** vm
- **License:** MIT
- **Updated:** 2026-09-28

## Source

- **Source listing:** [GitHub](https://github.com/apifyforge/pandemic-biosurveillance-mcp)

## Use it

Resolve this record through the SkillsRegistry MCP server (no auth, read-only):

```
claude mcp add --transport http --scope user skillsregistry https://api.skillsregistry.net/mcp
```

```json
{
  "jsonrpc": "2.0",
  "id": 1,
  "method": "tools/call",
  "params": {
    "name": "get_skill",
    "arguments": {
      "slug": "apifyforge-pandemic-biosurveillance-mcp"
    }
  }
}
```

REST: `GET https://api.skillsregistry.net/v1/skills/apifyforge-pandemic-biosurveillance-mcp` · pull for local use: `GET https://api.skillsregistry.net/v1/skills/apifyforge-pandemic-biosurveillance-mcp/pull`

---
SkillsRegistry indexes agent skills from public registries and GitHub. Skills we have analysed are scanned with Circle-IR and scored on six dimensions; each listing states its scan coverage. More: https://skillsregistry.net/llms.txt
