Systemic Risk Contagion MCP Server

What is Systemic Risk Contagion?

Systemic Risk Contagion is an MCP server for financial network contagion analysis. It integrates 16 public data sources to construct 4‑layer multiplex financial networks and runs algorithms such as DebtRank, Eisenberg‑Noe clearing, multivariate Hawkes processes, and supra‑adjacency tensor spectral decomposition. It is designed for financial stability professionals, regulators, researchers, and risk managers who need to quantify systemic risk without proprietary data or custom network code.

How to use Systemic Risk Contagion?

Add the server to an MCP‑compatible client (Claude Desktop, Cursor, Windsurf, Cline) by providing the URL https://systemic-risk-contagion-mcp.apify.actor/mcp and your Apify API token in the Authorization: Bearer header. Then issue natural‑language queries such as “Compute DebtRank for the US banking sector” to trigger one of the eight available tools (e.g., compute_debtrank, simulate_cascade_failure, generate_stability_report). Each tool call costs $0.045.

Key features of Systemic Risk Contagion

• Integrates 16 publicly available data sources simultaneously.
• Constructs 6‑layer multiplex networks with inter‑layer coupling tensors.
• Implements four published mathematical frameworks for systemic risk.
• Always‑on standby via Apify with no cold‑start delays.
• Spend controls per session to cap runaway agent costs.
• Scheduled recurring stability monitoring and webhook alerts.

Use cases of Systemic Risk Contagion

• G‑SIB and D‑SIB identification using DebtRank scores.
• Stress testing and resolution planning with cascade failure simulation.
• Criticality regime assessment via supra‑adjacency eigenanalysis.
• Temporal stress event monitoring using Hawkes branching ratios.
• Sanctions compliance stress testing with BFS propagation.
• Cross‑layer contagion channel mapping via tensor decomposition.