Official description๐ โ๏ธ - Daily geopolitical risk probabilities (escalation, ceasefire, regime change) for conflicts like Russia-Ukraine and China-Taiwan, plus chokepoint vessel data.
Config template (adjust for your client)
claude mcp add war-dashboard-data -- npx -y war-dashboard-data
A pasteable skeleton generated from the repository name. Check the project README for the exact package and arguments.
Star count
2 โ ยท cct15/war-dashboard-data ยท read from the repository page ยท (checked 2026-10-16 20:00:20)
Source
collected from the punkpeye/awesome-mcp-servers list ยท type: MCP server
Harvest history
first seen 2026-10-09 ยท last seen 2026-10-16 ยท seen 32ร ยท listed by 7 sources
Score
score 703 ยท 2 โ ยท 7 sources ยท mcp
FAQ (answers come from our records)
How do I install it?
We did not find an install command for this repository (our install coverage is only about 4%). Check its README or releases page.
Who is it for?
We filed it under these tags: MCP ๆๅก. The tags come from the entry itself, not a taxonomy we imposed.
Who maintains it?
repository cct15/war-dashboard-data๏ผfirst catalogued 2026-10-09๏ผlast seen 2026-10-16ใThere is no official certification or quality rating here โ we record sources and dates only.
Third-party quality signals
Futuristic Risk Intelligence โ 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 | โ ๏ธ **Suspended** โ AIS snapshot data does not meet reliability standards. Returns status: unavailable. | Install Quick Start Claude Desktop Add to your claude_desktop_config.json: Then ask Claude: *"What's the current escalation risk for Russia-Ukraine?"* Direct API (REST) 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: