War Dashboard Data

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Geopolitical conflict risk probabilities, political events, and maritime traffic data for AI agents.

автор: cct15

GitHub Embed

Описание

Geopolitical conflict risk probabilities, political events, and maritime traffic data for AI agents.

README

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

PyPI war-dashboard-data MCP server

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

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.

from github.com/cct15/war-dashboard-data

Установка War Dashboard Data

У этого сервера нет опубликованного пакета — он собирается из исходников. Открой репозиторий и следуй инструкции в README.

▸ github.com/cct15/war-dashboard-data

FAQ