mcp · Global

world-intel-mcp

139-tool MCP server for real-time global intelligence from free public APIs: markets, SEC filings, conflict, military, aircraft-cohort early warning, refugee and migration flows, cyber, climate, news, and 30+ domains. Cited AI situation briefs, geofences with change detection, live SSE dashboard. MIT, no paid API keys.

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What's in it

Data offered llm-inferred: earthquakes (USGS) · wildfire hotspots (NASA FIRMS) · disaster alerts (GDACS) and environmental events (NASA EONET) · conflict events (ACLED, UCDP) · refugee and IDP displacement (UNHCR) · FX rates (ECB) · macro and economic indicators (FRED, World Bank, EIA) · internet outages and cloud service status (Cloudflare Radar, cloud status) · severe weather alerts (NWS, Meteoalarm) · tropical cyclones (NHC, JTWC) · volcano activity (Smithsonian GVP) · news feeds and trending keywords (RSS, GDELT)
Coverage docs-verified: Global
Update frequency docs-verified: Default 5-minute interval when the collector runs as a daemon; per-tool refresh rates not stated
Formats llm-inferred: MCP stdio · PDF · HTML · markdown · SSE (live dashboard)
Access docs-verified: Free public APIs with no paid subscription; MIT licence. Several tools need free API credentials set as env vars (ACLED_ACCESS_TOKEN, CLOUDFLARE_API_TOKEN, EIA_API_KEY, FRED_API_KEY, NASA_FIRMS_API_KEY, OPENSKY_CLIENT_ID, OPENSKY_CLIENT_SECRET)

Useful for

Use cases llm-inferred: Hazard screening for a client site: recent earthquakes, wildfire hotspots and GDACS disaster alerts for context in an environmental or civils risk note · Severe weather context for a project briefing using NWS and Meteoalarm alerts where the site falls in US or EU coverage · Macro and cost-escalation inputs for civils and infrastructure budgets using FRED, World Bank and EIA energy price series
Audience llm-inferred: environmental consultants · civils and infrastructure risk analysts · planners · GIS analysts · AI agent developers

Limitations

Constraints llm-inferred: Global geopolitical, market and security focus; no UK hydrology, flood, rainfall or ground-model datasets are listed in DOCS · Severe weather coverage is limited to US (NWS) and EU (Meteoalarm); UK coverage is not listed in DOCS · Requires local install of a Python package (pip install -e .) and Python 3.11+; not a hosted service · PDF reports need native dependencies, e.g. pango on macOS · A source that fails three times in a row is paused for 5 minutes by its circuit breaker · Several tools need API credentials; per-source rate limits and free-tier quotas are not stated in DOCS · Source maintenance risk: the server aggregates 30+ third-party public APIs that can change or disappear

Licence: MIT
Authentication: Credentials via env: ACLED_ACCESS_TOKEN, CLOUDFLARE_API_TOKEN, EIA_API_KEY, FRED_API_KEY, NASA_FIRMS_API_KEY, OPENSKY_CLIENT_ID, OPENSKY_CLIENT_SECRET (README-verified)
GitHub stars: 945
Last commit: 12/10/2026
Last successful page check: 14/10/2026
Page health: healthy
Package: Not recorded
Verification: Not independently verified

Provenance & evidence

Tools/install/auth auto-extracted from README; quality score heuristic (stars, recency, tool count, licence).

Metadata observed 15/10/2026 · research sweep: github-search