连接

Civilizational Fragility

apifyforgebyapifyforge
•
数据科学与机器学习
分析与监控

Provides AI agents with access to cross-domain cascading collapse risk analysis, backed by 17 live data sources and 10 mathematical frameworks.

This MCP server empowers AI agents like Claude and GPT-4 with a sophisticated civilizational fragility assessment capability. It offers quantitative insights into systemic collapse, tipping points, and cross-domain contagion, making it invaluable for researchers, national security analysts, and institutional risk teams. The server automates the entire analytical pipeline, fetching fresh data from 17 sources in parallel and processing it through a stack of 10 advanced algorithms to produce structured fragility reports with domain-level stress scores, risk grades, tipping-point proximity maps, and prioritized intervention recommendations.

主要功能

010 GitHub stars
02Queries 17 diverse live data sources in parallel, including FRED, IMF, World Bank, NOAA, FEMA, and CISA KEV.
03Integrates 10 advanced mathematical frameworks (e.g., sheaf cohomology, Dec-POMDP, Leontief I-O) for comprehensive risk analysis.
04Optimized for AI agent consumption, providing grounded, quantitative answers to complex macro risk questions.
05Utilizes a 6-domain architecture modeling economics, climate, health, cybersecurity, governance, and environment.
06Generates structured fragility reports with domain-level stress scores, risk grades (A-F), and actionable recommendations.

使用案例

01Supporting national security and strategic intelligence with multi-domain risk briefings and resource allocation decisions.
02Developing automated early warning systems for systemic collapse and critical transitions based on real-time data.
03Augmenting AI agents with grounded, quantitative macro risk reasoning capabilities for complex inquiries.