프로토타입 · 미리 보기: 공식 레지스트리의 모든 서버를 담고 있으며 30분마다 동기화해요. 리뷰와 계정 기능은 다음 단계에서 열려요.
PopNx MCPAI를 쓰는 사람을 위한 MCP 서버 · 쉬운 말로 설명해요

Gdelt MCP Server

제작자: cyanheads버전 0.8.1i★ –i컴퓨터 또는 클라우드
레지스트리 이름io.github.cyanheads/gdelt-mcp-server

설치

개요

제작자가 쓴 설명(영어 원문)

Search and analyze global news coverage and US TV transcripts via the GDELT Project APIs.

PopNx MCP의 세 기둥

이 세 가지는 절대 하나의 점수로 합치지 않아요. 의견, 측정, 인기는 서로 다른 것이니까요.

할 수 있는 일

이 서버는 아직 쉬운 말로 된 요약을 쓰지 못했어요. 아래는 레지스트리에서 읽어 온 사실이에요.

  • 연결 방식: 컴퓨터 또는 클라우드
  • 전송 방식: stdio, Streamable HTTP
  • 카테고리: 검색 및 AI 기억

설치

쓰고 있는 AI 앱을 고른 다음 설정을 복사하세요.

설치하기 전에

  • 기본 점검: 3개 중 3개 통과
  • 제작자의 서버에서 실행돼요. 내가 요청한 내용은 제작자의 서버를 거쳐요.
  • 할 수 있는 일 10가지(도구) gdelt_search_articles, gdelt_get_coverage_timeline, gdelt_get_tone_distribution, gdelt_get_coverage_breakdown …
  • 직접 입력할 값: GDELT_CLAMP_LIMITS, GDELT_BASE_URL, GDELT_REQUEST_DELAY_MS, GDELT_REQUEST_TIMEOUT_MS, GDELT_MIRROR_PATH, GDELT_MIRROR_WINDOW_DAYS, MCP_LOG_LEVEL

필요한 것

어떤 앱을 쓰세요?

위에서 앱을 고르세요. 기억해 두었다가 다음부터는 버튼에 “…에 설치”라고 표시해요.

웹, 데스크톱, 모바일의 Claude에서 쓸 수 있어요:

  1. Settings → Connectors 열기
  2. Add custom connector 누르기
  3. 아래 주소를 붙여 넣고 Add 누르기
  4. 로그인하라고 하면 제작자의 서비스에 로그인하기
SettingsConnectors1+ Add2https://…3
https://gdelt.caseyjhand.com/mcp

또는 내 컴퓨터에서 실행하기

Claude Desktop → Settings → Developer → Edit Config를 열고 claude_desktop_config.json에 이 내용을 붙여 넣으세요

{
  "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"
      }
    }
  }
}

터미널에서 이 명령어를 실행하세요

claude mcp add --transport http gdelt https://gdelt.caseyjhand.com/mcp

또는 내 컴퓨터에서 실행하기

claude 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-server

실행하기 전에 빈 값을 채워 주세요.

Cursor에서 열기

또는 설정을 직접 복사하기

프로젝트의 .cursor/mcp.json 또는 ~/.cursor/mcp.json에 붙여 넣으세요

{
  "mcpServers": {
    "gdelt": {
      "url": "https://gdelt.caseyjhand.com/mcp"
    }
  }
}

또는 내 컴퓨터에서 실행하기

Cursor에서 열기

또는 설정을 직접 복사하기

프로젝트의 .cursor/mcp.json 또는 ~/.cursor/mcp.json에 붙여 넣으세요

{
  "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"
      }
    }
  }
}

브라우저가 앱을 열지 물어본 다음, 앱이 설정을 보여 주고 확인을 요청해요. 키 값은 비워 두니 직접 입력하세요.

VS Code에서 열기

또는 설정을 직접 복사하기

프로젝트의 .vscode/mcp.json에 붙여 넣으세요

{
  "servers": {
    "gdelt": {
      "type": "http",
      "url": "https://gdelt.caseyjhand.com/mcp"
    }
  }
}

또는 내 컴퓨터에서 실행하기

VS Code에서 열기

또는 설정을 직접 복사하기

프로젝트의 .vscode/mcp.json에 붙여 넣으세요

{
  "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"
      }
    }
  }
}

브라우저가 앱을 열지 물어본 다음, 앱이 설정을 보여 주고 확인을 요청해요. 키 값은 비워 두니 직접 입력하세요.

ChatGPT는 인터넷에 있는 서버에만 연결할 수 있어요:

  1. 웹에서 ChatGPT 열기 → Settings → Connectors (Apps)
  2. Create 또는 Add 누르기(일부 요금제는 먼저 Advanced에서 Developer mode를 켜야 해요)
  3. 아래 주소를 붙여 넣고 이름을 정한 뒤 저장하기
  4. 로그인하라고 하면 제작자의 서비스에 로그인하기
SettingsConnectors1+ Create2https://…3
https://gdelt.caseyjhand.com/mcp

메뉴 이름은 요금제나 시기에 따라 조금 다를 수 있어요.

선택한 앱은 이 기기의 쿠키에만 저장돼요. 계정은 필요 없어요.

직접 입력할 값

  • GDELT_CLAMP_LIMITS env
    Clamp counts above each per-call cap; false rejects them.
  • GDELT_BASE_URL env
    Override the base URL for the GDELT DOC and TV APIs.
  • GDELT_REQUEST_DELAY_MS env
    Minimum milliseconds between GDELT requests, enforcing the 1 req/5s rate limit.
  • GDELT_REQUEST_TIMEOUT_MS env
    Deadline in milliseconds for a single GDELT request; the whole call, retries included, is bounded at twice this value.
  • GDELT_MIRROR_PATH env
    SQLite file of the optional local GKG mirror the DOC tools fall back to when the DOC API refuses requests. Unset leaves it off. Built with `bun run mirror:init` from a checkout or the Docker image; o…
  • GDELT_MIRROR_WINDOW_DAYS env
    Days of GKG slots the local mirror keeps (1-90).
  • MCP_LOG_LEVEL env
    Sets the minimum log level for output (e.g., 'debug', 'info', 'warn').

이 설정은 제작자의 레지스트리 정보로 만들었어요. README와 다르면 README를 따르세요.

할 수 있는 일

도구 이름과 설명은 서버가 2026년 11월 6일에 알려 준 그대로예요. 우리가 아니라 제작자가 쓴 글이고, 일반 텍스트로만 보여 드려요.

  • gdelt_search_articles

    Search 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_timeline

    Retrieve 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_distribution

    Get 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_breakdown

    Break 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_themes

    Find 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_tv

    Search 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_breakdown

    Rank 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_clips

    Retrieve 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_context

    Get 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_stations

    List 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

기본 점검i

누구나 볼 수 있는 정보를 점검했고, 코드는 읽지 않았어요. 해당하지 않는 항목은 개수에서 뺐어요. · 2026년 11월 8일 점검

  • ✓ 통과

    제작자와 저장소 일치

    레지스트리 이름이 GitHub 계정 cyanheads 기준으로 확인되었고, 이 계정이 저장소를 소유하고 있어요

  • … 아직 점검 안 함

    계속 관리되고 있음

    아직 GitHub에서 이 저장소를 읽어 오지 않았어요

  • … 아직 점검 안 함

    라이선스 있음

    아직 GitHub에서 이 저장소를 읽어 오지 않았어요

  • ✓ 통과

    엔드포인트 응답

    79ms 만에 응답(HTTP 200)

  • – 해당 없음

    OAuth로 로그인

    로그인 필요 없음

  • ✓ 통과

    도구 설명에 숨겨진 지시 없음

    도구 설명 10개를 읽었고, AI에게 보내는 숨겨진 지시는 없었어요

검색 및 AI 기억 카테고리의 다른 서버와 비교i

  • 이 카테고리의 다른 서버 5668개 중 0%보다 스타가 많아요
  • 이 카테고리의 다른 서버 5668개 중 86%보다 최근에 레지스트리에 공개됐어요
  • 기본 점검 결과가 이 카테고리의 다른 서버 5668개 중 100%와 같거나 더 좋아요

레지스트리에서 이 카테고리의 활성 서버 전체와 비교했어요. 스타는 게시자가 저장소를 소유한 경우에만 세요.

자주 묻는 질문

Gdelt MCP Server, 안전한가요?

해당하는 기본 점검 3개 중 3개를 통과했어요. 코드는 읽지 않았어요. 키나 토큰을 넣기 전에 서버가 어떤 권한을 요구하는지 확인하고, 꼭 필요한 권한만 있는 키를 쓰세요.

어떤 키나 코드가 필요한가요?

레지스트리에 필수 키가 나와 있지 않아요. 다만 처음 쓸 때 로그인을 요구하는 서버도 있어요.

내 컴퓨터에서 실행되나요, 클라우드에서 실행되나요?

둘 다 가능해요. 내 컴퓨터에 설치해도 되고, 클라우드 버전에 연결해도 돼요.

아직 관리되고 있나요?

GitHub 저장소는 마지막으로 – 변경됐고, 최신 버전(0.8.1)은 6일 전 레지스트리에 올라왔어요.

어떤 앱에서 쓸 수 있나요?

Claude Desktop, Claude Code, Cursor, VS Code처럼 MCP를 지원하는 앱에서 쓸 수 있어요. URL로 연결되기 때문에, 원격 MCP 서버를 지원하는 앱(예: 개발자 모드의 ChatGPT)에서도 쓸 수 있어요.

대신 쓸 수 있는 건 뭐가 있나요?

같은 카테고리에는: Context7, Codebase Memory, Exa

대안

같은 카테고리에서 다른 제작자가 만든 서버예요. 스타 순으로 정렬했어요.

카드 보는 법:★ GitHub 스타i세 기둥: 리뷰 · 점검 · 사용 정도i업데이트 = 최신 버전을 레지스트리에 공개한 날i

Context7

제작자: upstash

Up-to-date docs for AI agents

컴퓨터 또는 클라우드★ 64,224MIT어제 업데이트
설치

Codebase Memory

제작자: DeusData

Codebase knowledge graph for AI agents — 162 languages, sub-ms queries, 99% fewer tokens.

내 컴퓨터에서 실행★ 48,148MIT21일 전 업데이트
설치

Exa

제작자: exa-labs

Connect AI agents to Exa for web search, content fetching, and multi-step research.

클라우드에서 실행★ 5,213MIT2개월 전 업데이트
설치

제작자의 README

README 열기

제작자의 저장소에서 쓰인 그대로 가져왔어요. PopNx MCP가 검토하거나 보증한 내용이 아니에요. HTML, 이미지, 스크립트는 제거했어요. 링크를 누르면 이 사이트를 벗어나요.

@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


Overview

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.

Tools
ToolDescription
gdelt_search_articlesSearch 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_timelineTrack normalized coverage, raw matching-article counts with monitored denominators, or average tone. Expand supplied article references for selected timesteps.
gdelt_get_tone_distributionGet a tone histogram (bins ~−30 to +30) showing whether coverage is uniformly negative, bimodal, or clustered near neutral.
gdelt_get_coverage_breakdownCompare coverage by source language or source country. Values are normalized shares of each source population's media output, not additive article counts.
gdelt_search_themesFind 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_tvSearch television news closed captions and return separate station timelines or pooled coverage.
gdelt_get_tv_breakdownRank stations by airtime share or matching-clip count, and shows by share of matching clips.
gdelt_get_tv_clipsRetrieve up to 3,000 matching TV clips with transcript excerpts and Internet Archive viewing links, returning every fetched in-window clip.
gdelt_get_tv_contextGet the most frequent co-occurring words and phrases from GDELT's relevance-ranked sample of TV clips matching a query.
gdelt_list_tv_stationsList 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.

Capability reference

gdelt_search_articles tool
  • Full GDELT query syntax: phrases, boolean OR, exclusion, filter operators (sourcecountry:, sourcelang:, domain:, theme:, tone</tone>), proximity (near20:) and repetition (repeat3:) — gdelt_search_themes finds the identifiers theme: takes
  • Configurable sort (relevance, dateDesc, dateAsc, toneDesc, toneAsc, hybridRel) and fetch count, up to 250 per call; larger maxRecords values clamp to 250 by default
  • Returns URL, title, publication date, domain, language, source country, and social image URL
  • Returns every fetched in-window article. At the provider ceiling, continuationWindows 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 returns
  • Articles outside an explicit startDatetime/endDatetime window are dropped, and the notice counts them

gdelt_get_coverage_timeline tool
  • Four modes: volume (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)
  • Reference-bearing timesteps carry their first 3 links beside 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 ten
  • Pages whole timesteps with offset and limit (default 10, cap 400); nextOffset retrieves the next page. Each series' pointCount and peak cover the full series on every page
  • Smoothing accepts 0–30 timesteps. Width N > 1 returns trailing moving averages: the first N−1 source steps cannot produce a value, and peaks can appear later. In volume_raw, smoothing changes value, not norm
  • Time range uses timespan (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 months
  • A points date matching no timestep, or an offset past the last timestep, is rejected with the valid values

gdelt_get_tone_distribution tool
  • Histogram bins from approximately −30 to +30; each bin's count 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 bins
  • Summary fields over the whole histogram: peakNegativeBin, peakPositiveBin, neutralPct (% of articles in the −2 to +2 range)
  • Pages whole bins with offset and limit (default 10, cap 400), returning nextOffset when more remain. This is a snapshot across matching articles, unlike the tone timeline
  • Time range uses timespan (up to 3 months) or explicit startDatetime/endDatetime, and an explicit window may predate the last 3 months

gdelt_get_coverage_breakdown tool
  • Breaks down by language or country into a multi-series time series: the top 10 series by summed value, with every other series named in otherSeriesLabels
  • series: [" "] returns only those series, complete, under selectedSeries; a label matching no series is rejected with the available labels
  • Pages whole series with offset and limit (default 10, cap 75), returning nextOffset when more remain. Copy exact labels from the response for series selections
  • Smoothing accepts 0–30 timesteps with the same moving-average disclosure as coverage timelines
  • Time range uses timespan (up to 3 months) or explicit startDatetime/endDatetime, and an explicit window may predate the last 3 months
  • Values are normalized shares of each source's media output, not article counts, so don't sum them across sources

gdelt_search_themes tool
  • Searches the identifiers in GDELT's GKG theme lookup (59,315 themes); each match is the identifier, its listed count, and a paste-ready operator such as theme:TAX_DISEASE_OUTBREAK
  • Case-insensitive, with no stemming or synonyms: words match parts of an identifier (cyberattack → CYBER_ATTACK, plant disease → TAX_PLANTDISEASE). If nothing matches, it retries once with a trailing s dropped (protests → PROTEST) and the notice says so
  • Ranked by exact match, then listed count (a static prevalence figure, not a live article total), then identifier
  • Pages with offset / 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_range
  • Does not queue behind the DOC and TV rate limit

gdelt_search_tv tool
  • Structured stations (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 catalog
  • normalize 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:
  • Each series carries 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 so
  • Pages points in date-then-station-name order (default 500, cap 20,000); pass nextOffset with the same inputs for the next page. The text surface's per-station count, sum, and peak cover only the returned page
  • combined: 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 series
  • Smoothing accepts 0–30 timesteps and discloses leading-window loss and possible lag. Recognized upstream date resolution takes precedence over requested or inferred resolution
  • Check station date ranges with gdelt_list_tv_stations before querying recent events

gdelt_get_tv_clips tool
  • Up to 3,000 clips fetched per call, sorted by relevance, date descending, or date ascending; larger maxRecords values clamp to 3,000 by default
  • Each clip: show name, station 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 thumbnail
  • The server requests whole clock hours, so any window width works; clips outside an explicit startDatetime/endDatetime window are dropped and counted in the notice (a timespan call drops nothing)
  • Returns every fetched in-window clip. At the provider ceiling, continuationWindows gives narrower windows to re-query (de-duplicate by archiveUrl); whole-hour retrieval can still prevent reaching every match in a dense hour

gdelt_get_tv_breakdown tool
  • Sta

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