Context7
Up-to-date docs for AI agents
Beschreibung vom Entwickler (englisches Original)
Search and analyze global news coverage and US TV transcripts via the GDELT Project APIs.
Diese drei werden nie zu einer Punktzahl zusammengefasst: Meinungen, Messungen und Beliebtheit sind verschiedene Dinge.
Für diesen Server haben wir noch keine Zusammenfassung in einfacher Sprache geschrieben. Unten stehen die Fakten, die wir aus der Registry gelesen haben.
Wähle die KI-App, die du nutzt, und kopiere die Einstellungen.
GDELT_CLAMP_LIMITS, GDELT_BASE_URL, GDELT_REQUEST_DELAY_MS, GDELT_REQUEST_TIMEOUT_MS, GDELT_MIRROR_PATH, GDELT_MIRROR_WINDOW_DAYS, MCP_LOG_LEVELDu brauchst
Welche App nutzt du?
Wähle oben deine App. Wir merken sie uns, damit der Button beim nächsten Mal „In … installieren“ anzeigt.
Funktioniert in Claude im Web, auf dem Desktop und auf dem Handy:
https://gdelt.caseyjhand.com/mcpÖffne Claude Desktop → Settings → Developer → Edit Config und füge dies in claude_desktop_config.json ein
{
"mcpServers": {
"gdelt": {
"command": "npx",
"args": [
"-y",
"@cyanheads/gdelt-mcp-server"
],
"env": {
"GDELT_CLAMP_LIMITS": "your-value",
"GDELT_BASE_URL": "your-value",
"GDELT_REQUEST_DELAY_MS": "your-value",
"GDELT_REQUEST_TIMEOUT_MS": "your-value",
"GDELT_MIRROR_PATH": "your-value",
"GDELT_MIRROR_WINDOW_DAYS": "your-value",
"MCP_LOG_LEVEL": "your-value"
}
}
}
}Führe das in deinem Terminal aus
claude mcp add --transport http gdelt https://gdelt.caseyjhand.com/mcpclaude mcp add gdelt --env GDELT_CLAMP_LIMITS=your-value --env GDELT_BASE_URL=your-value --env GDELT_REQUEST_DELAY_MS=your-value --env GDELT_REQUEST_TIMEOUT_MS=your-value --env GDELT_MIRROR_PATH=your-value --env GDELT_MIRROR_WINDOW_DAYS=your-value --env MCP_LOG_LEVEL=your-value -- npx -y @cyanheads/gdelt-mcp-serverTrag die leeren Werte ein, bevor du ihn startest.
In .cursor/mcp.json in deinem Projekt oder in ~/.cursor/mcp.json einfügen
{
"mcpServers": {
"gdelt": {
"url": "https://gdelt.caseyjhand.com/mcp"
}
}
}In .cursor/mcp.json in deinem Projekt oder in ~/.cursor/mcp.json einfügen
{
"mcpServers": {
"gdelt": {
"command": "npx",
"args": [
"-y",
"@cyanheads/gdelt-mcp-server"
],
"env": {
"GDELT_CLAMP_LIMITS": "your-value",
"GDELT_BASE_URL": "your-value",
"GDELT_REQUEST_DELAY_MS": "your-value",
"GDELT_REQUEST_TIMEOUT_MS": "your-value",
"GDELT_MIRROR_PATH": "your-value",
"GDELT_MIRROR_WINDOW_DAYS": "your-value",
"MCP_LOG_LEVEL": "your-value"
}
}
}
}Dein Browser fragt, ob er die App öffnen darf, dann zeigt die App die Einstellungen und bittet dich um Bestätigung. Schlüsselwerte bleiben leer, damit du sie selbst einträgst.
In .vscode/mcp.json in deinem Projekt einfügen
{
"servers": {
"gdelt": {
"type": "http",
"url": "https://gdelt.caseyjhand.com/mcp"
}
}
}In .vscode/mcp.json in deinem Projekt einfügen
{
"servers": {
"gdelt": {
"type": "stdio",
"command": "npx",
"args": [
"-y",
"@cyanheads/gdelt-mcp-server"
],
"env": {
"GDELT_CLAMP_LIMITS": "your-value",
"GDELT_BASE_URL": "your-value",
"GDELT_REQUEST_DELAY_MS": "your-value",
"GDELT_REQUEST_TIMEOUT_MS": "your-value",
"GDELT_MIRROR_PATH": "your-value",
"GDELT_MIRROR_WINDOW_DAYS": "your-value",
"MCP_LOG_LEVEL": "your-value"
}
}
}
}Dein Browser fragt, ob er die App öffnen darf, dann zeigt die App die Einstellungen und bittet dich um Bestätigung. Schlüsselwerte bleiben leer, damit du sie selbst einträgst.
ChatGPT verbindet sich nur mit Servern im Internet:
https://gdelt.caseyjhand.com/mcpMenünamen können sich je nach Tarif und mit der Zeit leicht unterscheiden.
Deine Auswahl bleibt in einem Cookie auf diesem Gerät; kein Konto nötig.
GDELT_CLAMP_LIMITS envGDELT_BASE_URL envGDELT_REQUEST_DELAY_MS envGDELT_REQUEST_TIMEOUT_MS envGDELT_MIRROR_PATH envGDELT_MIRROR_WINDOW_DAYS envMCP_LOG_LEVEL envDiese Einstellungen werden aus dem Registry-Eintrag des Entwicklers erzeugt. Wenn in der README etwas anderes steht, folge der README.
Tool-Namen und -Beschreibungen genau so, wie der Server sie am 6. Nov. 2026 gemeldet hat. Geschrieben hat sie der Entwickler, nicht wir; wir zeigen sie als reinen Text.
gdelt_search_articlesSearch the last 3 months of global news coverage (65+ languages) using the GDELT DOC API. Fetches up to 250 articles with URL, title, source domain, language, country, publication date, and social image URL, and returns every fetched article inside the requested window. Query sup
gdelt_get_coverage_timelineRetrieve a time series showing when news coverage of a topic spiked, or how average tone shifted over time. Use mode "volume" for normalized coverage intensity (% of all global coverage per timestep). Use "volume_raw" for distinct matching-article counts per timestep and norm, th
gdelt_get_tone_distributionGet the tonal distribution of articles matching a query as a histogram (bins approximately -30 to +30). Unlike a single average tone score, the histogram reveals whether coverage is uniformly negative, bimodal (some articles extremely positive and some extremely negative), or clu
gdelt_get_coverage_breakdownBreak down news coverage volume over time by source language or source country, returning a multi-series time series (one series per language or country). Shows which countries or languages drove early vs. late coverage — useful for tracing how a story propagated geographically o
gdelt_search_themesFind GDELT Global Knowledge Graph (GKG) theme identifiers for the theme: operator that gdelt_search_articles, gdelt_get_coverage_timeline, gdelt_get_tone_distribution, and gdelt_get_coverage_breakdown accept in query. Searches the identifiers in the GDELT GKG theme lookup, which
gdelt_search_tvSearch television news closed captions for spoken mentions of a query. Returns a bounded, paged per-station time series showing airtime devoted to the topic — 500 points by default, up to 20,000 per page. Each series carries GDELT's display name for the station and, when that nam
gdelt_get_tv_breakdownRank TV stations or shows mentioning a query. Station values are percentages of each station’s monitored airtime, or raw matching 15-second clip counts with normalize=false. Show values always represent percentages of matching clips, even with normalize=false. Labels are preserve
gdelt_get_tv_clipsRetrieve the top matching TV news clips for a query from the Internet Archive's Television News Archive: returns every fetched in-window clip, up to 3,000. Each clip includes show name, the station's display name — with its station ID when that name resolves to one — air timestam
gdelt_get_tv_contextGet the top co-occurring words and phrases from TV news clips matching a query — the vocabulary framing a topic on television. Returns the most frequent non-stopword terms with relative frequency scores (0–100, where 100 = the query term itself). Terms and scores come from GDELT'
gdelt_list_tv_stationsList the television stations available for TV search with their market, network, monitoring start date, and monitoring end date — every station by default, or only those matching the optional stations, network, and market filters (each an exact, case-insensitive match; combined w
Wir prüfen Informationen, die jeder sehen kann; den Code haben wir nicht gelesen. Checks, die nicht zutreffen, werden nicht mitgezählt. · Geprüft am 7. Nov. 2026
Der Registry-Name wurde mit dem GitHub-Konto cyanheads bestätigt, dem das Repo gehört
Dieses Repo haben wir noch nicht von GitHub gelesen
Dieses Repo haben wir noch nicht von GitHub gelesen
Antwort in 79 ms (HTTP 200)
Keine Anmeldung nötig
Wir haben 10 Tool-Beschreibungen gelesen und keine versteckten Anweisungen an die KI gefunden
Verglichen mit allen aktiven Servern dieser Kategorie in der Registry. Sterne zählen nur, wenn dem Herausgeber das Repo gehört.
Er hat 3 von 3 zutreffenden Basischecks bestanden. Den Code haben wir nicht gelesen. Bevor du einen Schlüssel oder Token hinzufügst, sieh nach, welche Zugriffe der Server verlangt, und nutze einen Schlüssel, der nur die Berechtigungen hat, die du brauchst.
Die Registry nennt keinen erforderlichen Schlüssel, manche Server bitten dich aber bei der ersten Nutzung, dich anzumelden.
Beides geht: Installiere ihn auf deinem Computer oder verbinde dich mit der Cloud-Version.
Das GitHub-Repo wurde zuletzt – geändert, und die neueste Version (0.8.1) kam vor 6 Tagen in die Registry.
Apps, die MCP unterstützen, etwa Claude Desktop, Claude Code, Cursor und VS Code. Er verbindet sich per URL, also funktionieren auch Apps, die Remote-MCP-Server akzeptieren, zum Beispiel ChatGPT im Entwicklermodus.
In derselben Kategorie: Context7, Codebase Memory, Exa
Server derselben Kategorie von anderen Entwicklern, sortiert nach Sternen.
So liest du eine Karte:★ GitHub-SterneiDrei Säulen: Bewertungen · Checks · NutzungiAktualisiert = neueste Version in der Registry veröffentlichti
Up-to-date docs for AI agents
Codebase knowledge graph for AI agents — 162 languages, sub-ms queries, 99% fewer tokens.
Connect AI agents to Exa for web search, content fetching, and multi-step research.
Unverändert aus dem Repo des Entwicklers übernommen. PopNx MCP hat den Inhalt weder geprüft noch empfiehlt es ihn. HTML, Bilder und Skripte wurden entfernt. Links führen von dieser Website weg.
@cyanheads/gdelt-mcp-server Search and analyze global news coverage and US television transcripts from the GDELT Project's real-time APIs via MCP. STDIO or Streamable HTTP. 10 Tools
Public Hosted Server: https://gdelt.caseyjhand.com/mcp
News and TV coverage analysis from the GDELT Project: global news in 65+ languages, and historical TV transcripts across 150+ stations, with coverage dates varying by station. Article search and relative timespan windows cover the last 3 months; explicit dates reach older windows in the coverage timeline's volume and tone modes, the language and country breakdowns, and the tone distribution. Search articles and clips, track coverage spikes, analyze tone, and compare coverage across languages, countries, stations, and shows.
| Tool | Description |
|---|---|
gdelt_search_articles | Search recent global news with full-text and filter operators. Returns every fetched in-window article, up to 250 per call, with date-window continuation guidance at the provider ceiling. |
gdelt_get_coverage_timeline | Track normalized coverage, raw matching-article counts with monitored denominators, or average tone. Expand supplied article references for selected timesteps. |
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_coverage_breakdown | Compare coverage by source language or source country. Values are normalized shares of each source population's media output, not additive article counts. |
gdelt_search_themes | Find GKG theme identifiers for the theme: operator the DOC tools accept — drought finds NATURAL_DISASTER_DROUGHT, cyberattack finds CYBER_ATTACK — ranked by the count GDELT's theme lookup lists. |
gdelt_search_tv | Search television news closed captions and return separate station timelines or pooled coverage. |
gdelt_get_tv_breakdown | Rank stations by airtime share or matching-clip count, and shows by share of matching clips. |
gdelt_get_tv_clips | Retrieve up to 3,000 matching TV clips with transcript excerpts and Internet Archive viewing links, returning every fetched in-window clip. |
gdelt_get_tv_context | Get the most frequent co-occurring words and phrases from GDELT's relevance-ranked sample of TV clips matching a query. |
gdelt_list_tv_stations | List TV stations with market, network, and monitoring date ranges — all of them, or filtered by station ID, network, or market — to verify station availability before querying. |
gdelt_search_articles toolsourcecountry:, sourcelang:, domain:, theme:, tone</tone>), proximity (near20:) and repetition (repeat3:) — gdelt_search_themes finds the identifiers theme: takesrelevance, dateDesc, dateAsc, toneDesc, toneAsc, hybridRel) and fetch count, up to 250 per call; larger maxRecords values clamp to 250 by defaultcontinuationWindows gives narrower date windows to re-query (de-duplicate by url). The ceiling is not a cursor; an indivisible window can still contain more matches than GDELT returnsstartDatetime/endDatetime window are dropped, and the notice counts themgdelt_get_coverage_timeline toolvolume (normalized % per timestep), volume_raw (matching-article counts with the monitored-article denominator norm), volume_with_articles (volume plus supplied top articles), and tone (average sentiment)referenceCount, the number of references GDELT supplied, not all matching articles. points: [" "] selects named timesteps with every supplied link; GDELT's reference list itself is capped at tenoffset and limit (default 10, cap 400); nextOffset retrieves the next page. Each series' pointCount and peak cover the full series on every pagevolume_raw, smoothing changes value, not normtimespan (up to 3 months) or explicit startDatetime/endDatetime; date resolution (15min/hour/day) is inferred from returned intervals. In volume and tone modes an explicit window may predate the last 3 months; volume_raw and volume_with_articles cover only the last 3 monthspoints date matching no timestep, or an offset past the last timestep, is rejected with the valid valuesgdelt_get_tone_distribution toolcount counts matching articles, while referenceCount counts supplied links. The default preview shows 3 links; bins: [ ] selects named bins with every supplied link. An unknown bin is rejected with the available binspeakNegativeBin, peakPositiveBin, neutralPct (% of articles in the −2 to +2 range)offset and limit (default 10, cap 400), returning nextOffset when more remain. This is a snapshot across matching articles, unlike the tone timelinetimespan (up to 3 months) or explicit startDatetime/endDatetime, and an explicit window may predate the last 3 monthsgdelt_get_coverage_breakdown toollanguage or country into a multi-series time series: the top 10 series by summed value, with every other series named in otherSeriesLabelsseries: [" "] returns only those series, complete, under selectedSeries; a label matching no series is rejected with the available labelsoffset and limit (default 10, cap 75), returning nextOffset when more remain. Copy exact labels from the response for series selectionstimespan (up to 3 months) or explicit startDatetime/endDatetime, and an explicit window may predate the last 3 monthsgdelt_search_themes tooloperator such as theme:TAX_DISEASE_OUTBREAKcyberattack → CYBER_ATTACK, plant disease → TAX_PLANTDISEASE). If nothing matches, it retries once with a trailing s dropped (protests → PROTEST) and the notice says sooffset / limit (default 25, cap 100); larger limits clamp by default. nextOffset appears only when more matches remain, and an offset past a non-empty result fails offset_out_of_rangegdelt_search_tv toolstations (e.g. ["CNN", "FOXNEWS"]) preserve the entire requested list. TV queries can also use station, network, or market selectors; verify IDs and coverage dates through the station catalognormalize toggles relative airtime % (default) vs. raw matching 15-second clip counts; optional dateres aggregation (hour/day/week/month/year). TV operators: station:, network:, market:, show:, context:station (the ID the stations input takes, FOXNEWS) and stationName (GDELT's label, FOX News). If an ID can't be resolved, the series keeps stationName without station and the notice says sonextOffset with the same inputs for the next page. The text surface's per-station count, sum, and peak cover only the returned pagecombined: true pools stations into a Combined timeline. Normalized values use pooled matching clips divided by pooled monitored clips, not an average of station percentages; no station ID is assigned to the combined seriesgdelt_list_tv_stations before querying recent eventsgdelt_get_tv_clips toolmaxRecords values clamp to 3,000 by defaultstation and stationName (resolved as in gdelt_search_tv, so a series' station passes straight into stations), air timestamp, 15-second transcript excerpt, direct Archive.org link, and optional thumbnailstartDatetime/endDatetime window are dropped and counted in the notice (a timespan call drops nothing)continuationWindows gives narrower windows to re-query (de-duplicate by archiveUrl); whole-hour retrieval can still prevent reaching every match in a dense hourgdelt_get_tv_breakdown toolNur der Anfang wird gezeigt; den Rest findest du im Repo