Adversarial Geopolitical Equilibrium

What is Adversarial Geopolitical Equilibrium?

Adversarial Geopolitical Equilibrium is an MCP server that gives AI agents access to eight quantitative game-theoretic tools for geopolitical analysis. It integrates with 16 live Apify data sources (including OFAC, OpenSanctions, UN COMTRADE, IMF, World Bank, and Finnhub) and operates across 20 pre-calibrated state actors. The server is designed for defense researchers, sanctions analysts, wargamers, and AI agents requiring structured, data‑grounded geopolitical intelligence.

How to use Adversarial Geopolitical Equilibrium?

Add the server to your MCP client (Claude Desktop, Cursor, Windsurf) by pasting a JSON configuration with the server URL and your Apify API token. After configuration, open a chat and ask your AI to analyze a geopolitical scenario; tools are available immediately. Results arrive as formatted JSON within the client.

Key features of Adversarial Geopolitical Equilibrium

• Eight quantitative game‑theoretic frameworks (sequential equilibrium, hypergame theory, sanctions hypergraph propagation, VCG mechanism design, Hamilton‑Jacobi‑Isaacs differential games, Colonel Blotto, replicator dynamics, Crawford‑Sobel cheap talk)
• Bayesian extensive‑form sequential equilibrium across up to five geopolitical arenas
• Sanctions cascade modeling on trade‑weighted hypergraphs with GDP impact estimation
• Continuous‑time Hamilton‑Jacobi‑Isaacs escalation dynamics with viscosity solutions
• VCG alliance mechanism design with Shapley value fair allocation and core stability tests
• 20 pre‑calibrated state actors (US, CN, RU, GB, FR, DE, JP, IN, KR, AU, IL, IR, SA, TR, BR, KP, UA, TW, PK, PL)
• 16 live data sources orchestrated in parallel with 180‑second timeouts
• Seeded deterministic PRNG (Mulberry32) for reproducible stochastic results

Use cases of Adversarial Geopolitical Equilibrium

• Defense and intelligence research with citable mathematical outputs for briefings and reports
• Sanctions policy assessment to evaluate secondary sanctions exposure and cascade effects
• Crisis scenario wargaming for Taiwan Strait, Iran nuclear breakout, and North Korea provocation
• Alliance viability analysis before committing to new coalitions (QUAD expansion, NATO enlargement)
• AI agent geopolitical reasoning with structured quantitative tools grounded in live data
• Competitive intelligence and country risk for investment managers and sovereign debt analysts

FAQ from Adversarial Geopolitical Equilibrium

What data sources does the server use?

The server pulls live data from 16 Apify actors including OFAC Sanctions Search, OpenSanctions Search, Interpol Red Notices, FBI Most Wanted Search, Congress Bill Search, Federal Register Search, UN COMTRADE, World Bank Data, IMF Economic Data, Finnhub Stock Data, Congressional Stock Tracker, GDACS Disaster Alerts, NVD CVE Search, REST Countries, Wikipedia Search, and Bluesky Social Search.

Which state actors are pre‑calibrated?

The 20 pre‑calibrated actors are US, CN, RU, GB, FR, DE, JP, IN, KR, AU, IL, IR, SA, TR, BR, KP, UA, TW, PK, and PL. Each includes GDP, military spending, nuclear capability, cyber capability score, internal stability, trade openness, region, and alliance memberships (NATO, SCO, BRICS, QUAD, AUKUS, FVEY, CSTO, EU, OPEC).

How do I connect the server to Claude Desktop?

Add the following JSON to ~/Library/Application Support/Claude/claude_desktop_config.json (macOS) or %APPDATA%\Claude\claude_desktop_config.json (Windows): {"mcpServers":{"adversarial-geopolitical-equilibrium":{"type":"url","url":"https://adversarial-geopolitical-equilibrium-mcp.apify.actor/mcp?token=YOUR_APIFY_TOKEN"}}}. Replace YOUR_APIFY_TOKEN with your Apify API token.

What mathematical frameworks are used?

The server implements eight frameworks: Bayesian extensive‑form sequential equilibrium, hypergame theory with belief hierarchies, sanctions cascade on trade‑weighted hypergraphs, VCG mechanism design, Hamilton‑Jacobi‑Isaacs differential games, Colonel Blotto across five domains, replicator dynamics with level‑