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

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

... View full README on GitHub