An MCP server for world event intelligence

Query geolocated world event signals (Delta Signals: geopolitical, security, disaster, and infrastructure events distilled from global news media, AI-enriched with severity/GEOINT scores and satellite-collection recommendations).

Aggregate statistics over the signal corpus — total event count plus per-category and per-day breakdown (trend) for a bounding box and date window.

Geographic hotspots — signal density grid-binned into cells, ranked by event count, each with peak severity, the categories present, and up to 5 representative event_ids (trace a cell back to its signals).

Fetch the Daily World Brief — an AI-synthesized OSINT/GEOINT digest of the previous UTC day's worldwide event signals (headline, executive summary, top developments with why-it-matters and what-to-watch, per-theme roll-up, ranked signals).

What actually CHANGED about the events in an area — not which articles are new.

The full history of ONE event: its current state, and every change in the order it happened.

Search the satellite imagery catalog (Sentinel-1, Sentinel-2, NISAR L-band) for scenes over an area and date window — the natural follow-up to a signal (find imagery over the event location).

Plan the imagery evidence for ONE event in a single call, instead of guessing collections one at a time.

WHERE — and with what class (and therefore cost) of satellite — is observation most worthwhile right now?

Which events in a window can a given in-app sensor actually RESOLVE?

WHEN can this place next be imaged, and by WHAT — the timing half of collection planning.

Measure terrain height from the Copernicus DEM GLO-30 — a point (lat + lon), an area (bbox), or a drawn polygon, for which the statistics are computed over the samples INSIDE the ring rather than its bounding box.

Compute FROM the terrain rather than reading heights out of it (that is lookup_elevation).

Run an AI RS (remote-sensing) deep-dive assessment for a specific signal: what to observe, recommended sensors, and a collection window.

Ask the Delta Analyst an OSINT/GEOINT question.

Fetch the status and result of an ask_analyst run by job_id.

Read the LEDGER of claims this key has been given — every factual assertion the Analyst made, with its evidence class (CONFIRMED / REPORTED / PARTY_CLAIM / ASSESSMENT), how many INDEPENDENT source families backed it, and the publishers.

Research one signal's location further and, if the sources genuinely narrow it, store and return the better coordinate.

Measure a spectral index over an area, scene by scene, back through the Sentinel-2 archive — the answer to "how has this changed since <year>".

Count vessel-like targets in ONE SAR scene over an area, using CFAR detection on Sentinel-1.

Put an area under CONTINUOUS watch: save a question plus a bounding box and Delta re-answers it on a schedule, notifying only when the answer actually changed.

List the standing orders on this key, with each one’s cadence, watched area, when it last checked, when it last actually fired, and how many consecutive checks found nothing (quiet_checks — a high number means the watch is not earning its place).

Delete a standing order by id, or pause/resume it instead by passing active=false/true.

List the places under continuous satellite measurement on this key (Delta Monitor), with each area’s metric, most recent value, change since the previous measurement, whether that value was flagged anomalous, and coverage — how many acquisitions were measured versus how many exist.

Fetch one monitored area with its full measurement history — every acquisition that was measured, its value, and whether it was flagged anomalous.

Put a place under continuous satellite measurement: pick an area and what to count, and every new Sentinel-1 / Sentinel-2 / VIIRS acquisition over it is measured automatically from then on.

Check the calling key's remaining token balance and plan capabilities — monthly allocation, tokens used this period, tokens remaining, and whether the plan includes AI tools over the API (assess_signal / ask_analyst).