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Built for the Claude Code community with Claude Code by @mertduzgun

Independent project, not affiliated with Anthropic

Futuristic Risk Intelligence

cct15/war-dashboard-data
1STDIOregistry active
Summary

Wraps daily geopolitical risk data into three MCP tools: get_conflict_risks returns escalation probabilities across six regions (Russia-Ukraine, Iran-Israel, China-Taiwan, etc.) with 1/7/30-day horizons, get_political_events surfaces high-impact political and economic events with probability estimates, and get_maritime_traffic is currently suspended due to AIS data quality issues. Each conflict includes structured risk breakdowns by event type (escalation, ceasefire, regime change) with directional indicators and probability deltas versus seven days prior. The data updates daily from proprietary modeling with roughly 24-hour latency. Reach for this when you need structured geopolitical risk inputs for trading agents, portfolio hedging logic, or dynamic protocol parameters that respond to conflict probability shifts instead of parsing news headlines yourself.

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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 war-dashboard-data MCP server

MCP Tools

ToolDescription
get_conflict_risksRisk probabilities for 6 major geopolitical conflicts (escalation, ceasefire, regime change) with 1d/7d/30d horizons
get_political_eventsHigh-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 TypeMeaningDirection
escalationMilitary escalation (strikes, invasion, nuclear test)risk_increase
ceasefireCeasefire or peace agreement reachedrisk_decrease
ceasefire_cancelExisting ceasefire breaks downrisk_increase
regime_changeGovernment falls or changesrisk_increase
diplomaticMajor diplomatic event (nuclear deal, treaty)neutral

Data Schema

conflicts.json

Each conflict includes:

FieldDescription
conflict_idRegion identifier (e.g. russia_ukraine, iran_israel_us)
importanceEditorial priority: high (active/major conflict, recommended for display) or low (low probability, included for data completeness)
risk_levelOverall risk: high / medium / low
probability_30d / 7d / 1dP(event occurs within time horizon)
situation_briefingDaily situation summary in Chinese, based on latest news
risk_impactStructured impact analysis: industries[], assets[], channels[] (transmission paths)
risk_events[]Breakdown by event type with per-type probabilities
risk_events[].directionrisk_increase (higher prob = more danger) or risk_decrease (higher prob = less danger)
risk_events[].change_vs_7d_agoProbability delta vs. 7 days ago
data_pointsNumber of data sources (for confidence assessment)
anomaly_detectedWhether probability diverges from news intensity

political_events.json

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

FieldDescription
event_summaryEvent description (Chinese)
event_summary_enEvent description (English)
categorypolitical / economic / natural_disaster
probabilityEstimated probability of occurrence
importanceEditorial priority: high (recommended for display) or low (data completeness)
deadlineEvent deadline (YYYY-MM-DD), if applicable
data_confidencehigh / 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:

  • 2026年全球地缘政治风险全景分析
  • 伊朗局势对油价和供应链的影响分析
  • 台海冲突对全球半导体供应链的风险评估

Built by Futuristic Risk Intelligence.

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Categories
Data & Analytics
Registryactive
Packagewar-dashboard-data
TransportSTDIO
UpdatedMar 26, 2026
View on GitHub

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