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`	⚠️ Suspended — AIS snapshot data does not meet reliability standards. Returns `status: unavailable`.

Install

Terminal

pip install war-dashboard-data

Quick Start

Claude Desktop

Add to your claude_desktop_config.json:

config.json

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

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

Direct API (REST)

Terminal

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:

Field	Description
`conflict_id`	Region identifier (e.g. `russia_ukraine`, `iran_israel_us`)
`importance`	Editorial priority: `high` (active/major conflict, recommended for display) or `low` (low probability, included for data completeness)
`risk_level`	Overall risk: `high` / `medium` / `low`
`probability_30d / 7d / 1d`	P(event occurs within time horizon)
`situation_briefing`	Daily situation summary in Chinese, based on latest news
`risk_impact`	Structured impact analysis: `industries[]`, `assets[]`, `channels[]` (transmission paths)
`risk_events[]`	Breakdown by event type with per-type probabilities
`risk_events[].direction`	`risk_increase` (higher prob = more danger) or `risk_decrease` (higher prob = less danger)
`risk_events[].change_vs_7d_ago`	Probability delta vs. 7 days ago
`data_points`	Number of data sources (for confidence assessment)
`anomaly_detected`	Whether probability diverges from news intensity

political_events.json

Political, economic, and natural disaster events with probability estimates.

Field	Description
`event_summary`	Event description (Chinese)
`event_summary_en`	Event description (English)
`category`	`political` / `economic` / `natural_disaster`
`probability`	Estimated probability of occurrence
`importance`	Editorial priority: `high` (recommended for display) or `low` (data completeness)
`deadline`	Event deadline (YYYY-MM-DD), if applicable
`data_confidence`	`high` / `medium` / `low` (based on trading volume)

`importance` field

Both conflicts.json and political_events.json include an importance field:

high — Editorially recommended. Active conflicts, high-probability events, or events with significant recent changes. Matches the daily intelligence report's display filter.
low — Included for data completeness. Low probability, no active events, or not a current focus area. Agents may still find these useful for comprehensive monitoring.

maritime.json

⚠️ Suspended: Free AIS data (45-second snapshots) produces sporadic zero-vessel readings in busy straits, which could mislead agents into inferring blockades. Returns {"status": "unavailable", "zones": []}. Will resume when a reliable AIS source is found.

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.

Website & Research

futuristicrisks.com — Live risk dashboard, cascade impact analysis, daily verified intelligence, and API documentation.

Research articles:

Built by Futuristic Risk Intelligence.