@pipeworx/gdelt

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

Tools: 3

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).

Data source

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

Tools

  • search_articles — Search global news articles indexed by GDELT 2.0. Returns recent matches with URL, title, domain, source country, language, tone (-100..+100), and image. Use the query language: plain words AND togeth
  • timeline_tone — Day-by-day average tone (-100 very negative .. +100 very positive) for a GDELT query over time. Returns datapoints with timestamp and tone value. Useful for tracking sentiment shifts around a topic, p
  • timeline_volume — Day-by-day article volume as % of total news for a GDELT query. Returns datapoints with timestamp and intensity. Useful for spotting topic spikes and comparing news attention across periods.

Tools

  • search_articles — Search global news articles indexed by GDELT 2.0. Returns recent matches with URL, title, domain, source country, language, tone (-100..+100), and image. Use the query language: plain words AND togeth
  • timeline_tone — Day-by-day average tone (-100 very negative .. +100 very positive) for a GDELT query over time. Returns datapoints with timestamp and tone value. Useful for tracking sentiment shifts around a topic, p
  • timeline_volume — Day-by-day article volume as % of total news for a GDELT query. Returns datapoints with timestamp and intensity. Useful for spotting topic spikes and comparing news attention across periods.

Regenerated from source · build May 21, 2026