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world-intel-mcp

by marc-shade·26·Score 47

A comprehensive MCP server with 110+ tools for real-time global intelligence across markets, geopolitics, military, climate, and other domains.

financesecuritydeveloper-tools
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Overview

World Intel MCP Server is an extensive intelligence tool providing 110 MCP tools across 30+ domains including financial markets, forex, bonds, earnings, SEC filings, conflict analysis, military posture, cyber threats, climate data, and more. The server features a live dashboard with Leaflet maps, vector search capabilities, and streaming data feeds. All data comes from free public APIs with enterprise-grade caching, circuit breakers, and a Qdrant vector store for semantic search across historical intelligence. The architecture supports both MCP stdio interface and a standalone CLI with options for PDF/HTML report generation.

Try asking AI

After installing, here are 7 things you can ask your AI assistant:

you:AI agents requiring real-time global awareness for decision making
you:Financial analysis and market intelligence gathering
you:Geopolitical risk assessment and military monitoring
you:Cyber threat intelligence and infrastructure monitoring
you:Climate and environmental disaster tracking
you:What data sources does this server use?
you:How is the data cached and updated?

When to choose this

Choose this MCP server for comprehensive real-time global intelligence across multiple domains when you need deep market insights, geopolitical monitoring, or environmental data for AI agents.

When NOT to choose this

Avoid this if you need domain-specific deep expertise in a single area, or if you require offline capabilities as all data relies on external public APIs.

Tools this server exposes

12 tools extracted from the README
  • intel_market_quotes

    Stock index quotes (S&P 500, Dow, Nasdaq, FTSE, Nikkei)

  • intel_crypto_quotes

    Top crypto prices and market caps from CoinGecko

  • intel_forex_rates

    Latest FX rates from ECB. Filter by base/target currencies

  • intel_yield_curve

    US Treasury yield curve (2Y-30Y), 2s10s/3m10y spreads, inversion flag

  • intel_earthquakes

    USGS earthquakes (configurable magnitude/time/limit)

  • intel_military_flights

    Military aircraft via adsb.lol (OpenSky fallback)

  • intel_news_feed

    80+ global RSS feeds with 4-tier source ranking

  • intel_signal_convergence

    Geographic convergence of multi-domain signals

  • intel_extract_entities

    Named entity extraction (countries, leaders, orgs, CVEs, APTs)

  • intel_world_brief

    Structured daily intelligence summary

  • intel_macro_composite

    Weighted market score (0-100) with verdict: RISK_ON to STRONG_CAUTION

  • intel_strategic_posture

    Composite global risk from 9 weighted domains

Comparable tools

mcp-server-market-datamcp-weather-servermcp-news-server

Installation

git clone https://github.com/marc-shade/world-intel-mcp.git
cd world-intel-mcp
pip install -e .

# Optional extras
pip install -e ".[dashboard]"  # Live ops-center dashboard
pip install -e ".[vector]"     # Qdrant vector store + FastEmbed

Claude Code Configuration

Add to ~/.claude.json:

{
  "mcpServers": {
    "world-intel-mcp": {
      "command": "world-intel-mcp"
    }
  }
}

FAQ

What data sources does this server use?
All data comes from free, public APIs including Yahoo Finance, CoinGecko, SEC EDGAR, USGS, NASA, ACLED, Cloudflare Radar, and 30+ other sources. No paid subscriptions are required.
How is the data cached and updated?
The server uses SQLite with TTL caching and a circuit breaker pattern that trips after 3 consecutive failures for 5 minutes. A collector daemon can be run to refresh data every 5 minutes.

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Last updated · Auto-generated from public README + GitHub signals.