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Futuristic Risk Intelligence — MCP Server & Data Feed

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

PyPI

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.)

Install

pip install war-dashboard-data

Quick Start

Claude Desktop

Add to your claude_desktop_config.json:

{
  "mcpServers": {
    "futuristic-risk": {
      "command": "war-dashboard-data"
    }
  }
}

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.

Metadata

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