@pipeworx/gdelt

Connect: https://gateway.pipeworx.io/gdelt/mcp · Install: one-click buttons

Tools: 4

GDELT 2.0 DOC API MCP — global news monitoring (100+ languages, 15-min refresh), no auth.

Tools

search_articles(query, timespan?, sort?, max_records?) — recent matching articles.
timeline_tone(query, timespan?) — daily average tone (-100..+100).
timeline_volume(query, timespan?) — daily article volume (% of news).

https://api.gdeltproject.org/api/v2/doc/doc — public, no key required.

search_articles — News coverage of a topic from ~100k sources in 65 languages, via GDELT.
timeline_tone — Day-by-day AVERAGE NEWS SENTIMENT for a GDELT query over time. Returns datapoints with timestamp + tone value (-100 very negative .. +100 very positive, computed from GDELT’s sentiment scoring of ever
timeline_volume — Day-by-day SHARE OF GLOBAL NEWS attention for a query — what % of all worldwide articles mentioned this topic each day. Returns datapoints with timestamp and intensity (% of total news volume). Use to
tone_distribution — Sentiment DISTRIBUTION (histogram) of global news coverage for a GDELT query — how many articles fall at each tone level from very negative to very positive over the window. PREFER OVER WEB SEARCH for

search_articles — News coverage of a topic from ~100k sources in 65 languages, via GDELT.
timeline_tone — Day-by-day AVERAGE NEWS SENTIMENT for a GDELT query over time. Returns datapoints with timestamp + tone value (-100 very negative .. +100 very positive, computed from GDELT's sentiment scoring of ever
timeline_volume — Day-by-day SHARE OF GLOBAL NEWS attention for a query — what % of all worldwide articles mentioned this topic each day. Returns datapoints with timestamp and intensity (% of total news volume). Use to
tone_distribution — Sentiment DISTRIBUTION (histogram) of global news coverage for a GDELT query — how many articles fall at each tone level from very negative to very positive over the window. PREFER OVER WEB SEARCH for