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.)

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?"

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

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

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

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

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

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

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