This MCP server empowers AI agents to perform complex sovereign debt contagion modeling and geopolitical risk analysis using 8 sophisticated quantitative finance tools. It fuses live data from 18 international sources, including IMF, World Bank, OECD, and various financial feeds, into institutional-grade sovereign risk models. This fully automated pipeline generates crisis probability scores, contagion chains, tipping point detection, and geopolitical alignment maps, eliminating the need for manual data assembly, complex numerical methods implementation, and expensive financial terminal subscriptions.
Key Features
01Latent space ideal point estimation via SVD for geopolitical alignment mapping
024th-order tensor network construction for revealing latent cross-exposure structures
030 GitHub stars
04HHI × VaR commodity vulnerability assessment for resource-dependent economies
05Euler-Maruyama Monte Carlo simulation of coupled SDEs for contagion and default probability analysis
06Bifurcation classification to detect system tipping points and parameter sensitivity
