gdelt_get_coverage_breakdown

MCP tool from Gdelt MCP Server by cyanheads

Break down coverage volume by source language or source country — a multi-series time series showing geographic propagation. Values are normalized shares of media output, not article counts.

How to use it

gdelt_get_coverage_breakdown is exposed by the Gdelt MCP Server MCP server. Add the server to your MCP client (Claude Desktop, Cursor, Windsurf and others), and the gdelt_get_coverage_breakdown tool becomes available to the model automatically. See the full listing for setup details and every tool this server provides.

Install Gdelt MCP Server

$docker run --rm -p 3010:3010 gdelt-mcp-server

FULL GDELT MCP SERVER LISTING

Other tools in Gdelt MCP Server (12)

gdelt_get_coverage_timeline

Retrieve a time series of coverage volume or average tone for a query. volumewitharticles mode includes top articles per spike timestep, with points to render a timestep's full article list.

gdelt_get_tone_distribution

Get a tone histogram (bins ~−30 to +30) showing whether coverage is uniformly negative, bimodal, or clustered near neutral.

gdelt_get_tv_clips

Retrieve up to 3,000 matching TV clips with transcript excerpts and Internet Archive viewing links, and the date windows to re-query when that ceiling is hit.

gdelt_get_tv_context

Get the most frequent co-occurring words and phrases from TV clips matching a query.

gdelt_get_tv_trending

Retrieve trending topics currently dominating US television news (updated every 15 minutes; no query required).

gdelt_list_tv_stations

List all TV stations with market, network, and monitoring date ranges to verify station availability before querying.

gdelt_search_articles

Search the last 3 months of global news coverage (65 languages) with full-text and filter operators. Returns up to 250 articles, and hands back the date windows to re-query when that ceiling is hit.

gdelt_search_tv

Search US television news closed captions (2009–Oct 2024) and return per-station airtime time series.

isActive

flag — true when end date is within the last 24 hours

tone

average sentiment score per timestep (combine with gdeltgettonedistribution for the full picture)

volume

normalized percentage of all global coverage per timestep

volume_with_articles

volume plus top articles driving each spike; use for signal detection without a follow-up search call