Futuristic Risk Intelligence — MCP Server & Data Feed

Geopolitical conflict risk data for AI agents via Model Context Protocol (MCP). Updated daily.

MCP Tools

Tool	Description
get_conflict_risks	Risk probabilities for 6 major geopolitical conflicts (escalation, ceasefire, regime change) with 1d/7d/30d horizons
get_political_events	High-impact political, economic, and natural disaster events with probability estimates
get_maritime_traffic	Vessel counts in critical maritime chokepoints (Strait of Hormuz, Taiwan Strait, etc.)

Quick Start

Claude Desktop

Add to your claude_desktop_config.json:

{
  "mcpServers": {
    "futuristic-risk": {
      "command": "python3",
      "args": ["path/to/mcp_server/server.py"]
    }
  }
}

Then ask Claude: "What's the current escalation risk for Russia-Ukraine?"

Direct API (REST)

curl https://raw.githubusercontent.com/cct15/war-dashboard-data/main/conflicts.json

Coverage

6 conflict regions: Russia-Ukraine, Iran-Israel/US, Israel-Palestine, China-Taiwan, India-Pakistan, US-Latin America

5 event types with clear risk direction:

Event Type	Meaning	Direction
escalation	Military escalation (strikes, invasion, nuclear test)	risk_increase
ceasefire	Ceasefire or peace agreement reached	risk_decrease
ceasefire_cancel	Existing ceasefire breaks down	risk_increase
regime_change	Government falls or changes	risk_increase
diplomatic	Major diplomatic event (nuclear deal, treaty)	neutral

Data Schema

conflicts.json

Each conflict includes:

• probability_30d / 7d / 1d: P(event occurs within time horizon)
• risk_events: Breakdown by event type
• direction: risk_increase (higher probability = more danger) or risk_decrease (higher probability = less danger)
• change_vs_yesterday / change_vs_7d_ago: Probability deltas
• risk_level: high / medium / low
• anomaly_detected: Whether probability diverges from news intensity

maritime.json

Vessel counts in 6 critical chokepoints, broken down by type (tanker, cargo, military, other). Snapshot-based from AIS data.

political_events.json

High-impact events with probability, deadline, category, and data confidence level.

Use Cases

• Trading agents: Adjust crypto/commodity positions based on geopolitical risk changes
• Risk management: Monitor conflict escalation probabilities for portfolio hedging
• DeFi protocols: Dynamic collateral ratios based on geopolitical risk
• Research agents: Track probability trends across 6 conflict regions
• News agents: Get structured risk data instead of parsing headlines

Technical Details

• Zero dependencies: MCP server uses only Python stdlib (works with Python 3.9+)
• Data source: Proprietary multi-source modeling
• Update frequency: Daily
• Latency: Public data has ~24h delay

License

Data is free for non-commercial use. Contact for commercial licensing.

Built by Futuristic Risk Intelligence.