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  1. Home
  2. πŸ’° Finance & Fintech
  3. War Dashboard Data
War Dashboard Data logo
Health: ActiveRecent health check succeeded.Last checked 9/9/2026, 2:16:26 PM

War Dashboard Data

User RatingsBe the first to rate and review this MCP server!
View Repository2 GitHub StarsTotal stargazers on GitHub for the source repository (2 stars).Visit Website
geopoliticsrisk-intelligencefinanceconflict-monitoring

Daily geopolitical risk probabilities and political event data for AI agents across six conflict regions.

Quick Install

Automated & IDE Setup

Copy the AI prompt to install this server into Claude Code, Cursor, or another agent β€” or use 1-click editor setup below.

Add to CursorAdd to VS Code
Not yet automatically verified

We haven't yet run this listing's install command through our automated sandbox check. This isn't a red flag β€” we're steadily working through the catalog.

Manual Client & Custom JSON ConfigExpand JSON β–Ύ

Client Config & Setup

Choose your client or environment
Target File:~/Library/Application Support/Claude/claude_desktop_config.json
claude_desktop_config.json
{
  "mcpServers": {
    "cct15-war-dashboard-data": {
      "command": "uvx",
      "args": [
        "war-dashboard-data"
      ]
    }
  }
}

πŸ’‘ Paste the JSON block into your client's configuration file under mcpServers, then restart the application.

Install Tool Schemas (3) Directory Badge Claim listing AlternativesπŸ’° More in Finance & Fintech

Overview

This MCP server provides daily risk probabilities for six geopolitical conflict regions, covering escalation, ceasefire, and regime-change events across 1-day, 7-day, and 30-day horizons. It also exposes political, economic, and natural-disaster event estimates with English and Chinese summaries. Maritime traffic data is currently suspended and returns an unavailable status.

Use cases

β€’Monitor conflict escalation probabilities across six regions
β€’Track political, economic, and natural-disaster event risks
β€’Compare probability changes with values from seven days earlier
β€’Assess potential impacts on industries, assets, and transmission channels
β€’Support trading, hedging, research, or news-monitoring agents

Key features

β€’Conflict risk probabilities at 1-day, 7-day, and 30-day horizons
β€’Six-region coverage including Russia-Ukraine and China-Taiwan
β€’Political event estimates with categories and deadlines
β€’Structured risk impacts for industries, assets, and channels
β€’Daily situation briefings in Chinese with English event summaries
β€’Maritime traffic tool suspended and marked unavailable

Capabilities & Tool Schemas (3) ~91 tokensApproximate context cost of this server’s tool schemas (~4 chars/token), before any tool is called. Actual usage depends on your client and model.Self-reported Self-reportedParsed from the repository README, not verified against a live server β€” may be incomplete or out of date.

Inspect callable tools, capabilities, and parameters exposed to AI agents by War Dashboard Data.

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** β€” AIS snapshot data does not meet reliability standards. Returns `status: unavailable`.

Documentation Overview

Futuristic Risk Intelligence β€” 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 β€” AIS snapshot data does not meet reliability standards. Returns status: unavailable.

Install

Terminal
pip install war-dashboard-data

Quick Start

Claude Desktop

Add to your claude_desktop_config.json:

config.json
{
  "mcpServers": {
    "futuristic-risk": {
      "command": "war-dashboard-data"
    }
  }
}

Then ask Claude: "What's the current escalation risk for Russia-Ukraine?"

Direct API (REST)

Terminal
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 β€” Editorially recommended. Active conflicts, high-probability events, or events with significant recent changes. Matches the daily intelligence report's display filter.
  • low β€” 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 β€” Live risk dashboard, cascade impact analysis, daily verified intelligence, and API documentation.

Research articles:

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  • δΌŠζœ—ε±€εŠΏε―Ήζ²Ήδ»·ε’ŒδΎ›εΊ”ι“Ύηš„ε½±ε“εˆ†ζž
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Built by Futuristic Risk Intelligence.

Read the full README β†’View source on GitHub β†’

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Adoption & maintenance

Factual signals from GitHub, npm, and our automated checks β€” not a rating.

GitHub stars
2
Stargazers on the source repository.
Last commit
2mo ago
Most recent push to the default branch.
Tools exposed
3
Callable tools this server registers over MCP.
Directory activity
2 views
Config copies, upvotes, and views on AllMCPs.

Reviews

No reviews yet β€” be the first to share how this listing worked for you.

Frequently Asked Questions about War Dashboard Data

It covers Russia-Ukraine, Iran-Israel/US, Israel-Palestine, China-Taiwan, India-Pakistan, and US-Latin America.

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Technical Specs & Signals

CategoryπŸ’°Finance & Fintech
PricingFree
More technical detailsExpand β–Ύ
TransportSTDIO
RuntimePython
AuthNo auth required
ClientsClaude Desktop
Last updatedAug 9, 2026
11/11 checks healthy over the last 33d
Views2
Unique ViewsTotal visits recorded for this listing page on AllMCPs.
Installs0
Installs & Copy ActionsTotal times users copied install commands or configuration snippets for this server.
GitHub stars2
GitHub Star CountTotal stargazers on GitHub representing community popularity (2 stars).
Last commit2mo ago
Last Repository CommitThe most recent commit or push recorded for this server's GitHub repository.Last commit on Jun 19, 2026
56Quality signal: Good Β· 56/100How this signal is calculated β–Ύ
Server availabilityNot measured

Not scored for repo-hosted servers β€” we can't reach the running server, only its GitHub page. Hosted MCP endpoints are health-checked live.

Verified ownership10/20
Documentation & tools29/30
Adoption & activity3/15
Community engagement0/10

A guidance signal from public completeness & health data β€” not a user rating. New listings start lower and rise as they add docs, get verified, and grow adoption. Signals we can't observe for a listing are skipped, not counted against it.

Supply-chain signal

No high-severity advisories surfaced by our automated scan.

Critical 0High 0Medium 0Low 0

Scanned 23d ago via OSV.dev Β· war-dashboard-data (PyPI)

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