What is Pandemic Supply Chain Cascade?
Pandemic Supply Chain Cascade is a Model Context Protocol (MCP) server for pharmaceutical supply chain disruption modelling during health emergencies. It gives AI agents eight analytical tools built on six quantitative algorithms, grounded in live data from 15 public-data actors, to compute shortage risk, supply-demand crossover timing, and critical preparedness gaps.
How to use Pandemic Supply Chain Cascade?
Add the server’s endpoint URL and your Apify API token to your MCP client configuration (e.g., Claude Desktop, Cursor, Windsurf). Then ask your AI agent to call any of the eight tools—for example, “predict drug shortage risk for amoxicillin”—and the server returns structured JSON results.
Key features of Pandemic Supply Chain Cascade
- Pharma supply chain hypergraph construction with typed nodes and edges
- Substitutability scoring per entity with single-source dependency flags
- Concentration risk per drug computed as 1/alternative manufacturer paths
- Buldyrev interdependent network percolation for cascading disruption
- SEIR-supply coupling ODE model over a 120-day horizon
- Bond percolation shortage prediction with probability and severity rating
Use cases of Pandemic Supply Chain Cascade
- Government and public health emergency preparedness analysis
- Pharmaceutical company supply chain resilience assessment
- Healthcare investment and pipeline risk evaluation
- Regulatory and compliance reporting for drug shortage prevention
- AI agent supply chain monitoring workflows with periodic assessments
- Academic and policy research on pandemic preparedness scenarios
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