Futuristic Risk Intelligence — MCP Server & Data Feed
Geopolitical conflict risk data for AI agents via Model Context Protocol (MCP). Updated daily.
| 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
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:
| 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.