gdelt-mcp-server

<div align="center"> <h1>@cyanheads/gdelt-mcp-server</h1> <p><b>Search and analyze global news coverage and US television transcripts via the GDELT Project's real-time APIs via MCP. STDIO or Streamable HTTP.</b> <div>9 Tools</div> </p> </div> <div align="center">

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Public Hosted Server: https://gdelt.caseyjhand.com/mcp

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Tools

Nine tools across two GDELT APIs — DOC API for global print/web news (last 3 months, 65 languages, no auth) and TV API for US television transcripts (2009–Oct 2024, 150+ stations):

| Tool | Description | |:---|:---| | 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_get_coverage_timeline | Retrieve a time series of coverage volume or average tone for a query. volume_with_articles 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_coverage_breakdown | 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. | | gdelt_search_tv | Search US television news closed captions (2009–Oct 2024) and return per-station airtime time series. | | 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 with GDELT's full query syntax.

• Keywords, phrases ("bird flu"), boolean OR, and exclusion (-sports)
• Filter operators: sourcecountry:, sourcelang:, domain:, theme: (GKG taxonomy), tone</tone>
• Proximity and repetition: near20:"flu virus", repeat3:"outbreak"
• Configurable sort (relevance, date) and result count (up to 250)
• Returns URL, title, publication date, domain, language, source country, and social image URL
• 250 is a hard per-call ceiling, not a page size — GDELT exposes no cursor. Fill it and the response returns continuationWindows: the queried window halved, ready to re-query. The halves overlap by a second so nothing falls through the seam; de-duplicate by url
• Query is echoed in response for chaining

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gdelt_get_coverage_timeline

Retrieve when coverage of a topic spiked, with three modes:

• 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
• tone — average sentiment score per timestep (combine with gdelt_get_tone_distribution for the full picture)
• Every article reference is always in structuredContent; the text surface renders the first 3 links per timestep beside that timestep's true count, and points: ["<date>"] renders named timesteps in full
• Configurable smoothing and time range

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gdelt_get_tone_distribution

Snapshot tone histogram across all articles matching a query.

• Bins from approximately −30 to +30; each bin includes representative article URLs
• Summary fields: peakNegativeBin, peakPositiveBin, neutralPct (% of articles in the −2 to +2 range)
• Distinct from the tone timeline — distribution across all matching articles, not over time

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gdelt_get_coverage_breakdown

Multi-series time series showing which countries or languages drove coverage.

• Break down by language or country
• Top 10 series by total volume; remaining series aggregated into an "Other" bucket and named in otherSeriesLabels
• Nothing is dissolved into "Other" anonymously — pass any label to series: ["<label>"] and that series comes back complete under selectedSeries, alongside the usual overview
• Values are normalized — the topic's share of media output, not absolute article counts. Small media markets with concentrated coverage rank above large markets with diverse output, so a high value means the topic dominated that source's coverage rather than that it published the most articles
• Use to trace how a story propagated geographically

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gdelt_search_tv

Search US television news transcripts (2009–Oct 2024) with per-station airtime analysis.

• Structured stations parameter (e.g. ["CNN", "FOXNEWS"]) — the server embeds station filters in the query string
• Normalize results to relative % or return raw counts
• TV-specific operators: market:, show:, context:
• Use gdelt_list_tv_stations to verify station active date ranges before querying recent events

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gdelt_get_tv_clips

Retrieve actual TV news clips driving a coverage signal.

• Up to 3,000 clips per call
• Each clip: show name, station, air timestamp, 15-second transcript excerpt, direct Archive.org link, and optional thumbnail
• 3,000 is a hard per-call ceiling, not a page size — GDELT exposes no cursor. Fill it and the response returns continuationWindows: the queried window halved, ready to re-query. The halves overlap by a second so nothing falls through the seam; de-duplicate by archiveUrl
• Sort by relevance, date descending, or date ascending

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gdelt_get_tv_context

Vocabulary framing analysis for TV coverage of a topic.

• Returns the most frequent non-stopword terms from matching clips
• Relative frequency scores (query term = 100)
• Use to identify narrative framing, related concepts, or follow-up search terms

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gdelt_get_tv_trending

Zero-argument entry point for the current TV news cycle.

• Returns trending topics, keywords, and phrases dominating national networks
• Updated every 15 minutes
• Note: coverage data ends Oct 2024; results reflect the archive endpoint, not a live feed

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gdelt_list_tv_stations

Station metadata lookup before querying.

• All available stations with market, network, monitoring start date, and end date
• isActive flag — true when end date is within the last 24 hours
• Use to verify a station was active during a target time period

Features

Built on @cyanheads/mcp-ts-core:

• Declarative tool definitions — single file per tool, framework handles registration and validation
• Unified error handling — handlers throw, framework catches, classifies, and formats
• Pluggable auth: none, jwt, oauth
• Swappable storage backends: in-memory, filesystem, Supabase, Cloudflare KV/R2/D1
• Structured logging with optional OpenTelemetry tracing
• STDIO and Streamable HTTP transports

GDELT-specific:

• Shared rate-limit queue (1 req/5s) across all tools — enforces GDELT's published limit without caller coordination
• Two service layers (GdeltDocService, GdeltTvService) mapping clean tool parameters to the DOC and TV API URL conventions
• TV station filter operators embedded in query strings internally — callers pass structured stations arrays, not raw query syntax

Agent-friendly output:

• Query echo on every response — searches return the original query and applied timespan so agents can chain calls without re-deriving parameters
• Discriminated series labels — timeline and breakdown responses carry typed label fields ("Volume Intensity", "Average Tone", language/country names) rather than positional arrays
• Structured station metadata — isActive boolean and ISO 8601 date fields let agents reason about TV station availability without parsing date strings
• Partial-coverage signals in distribution output — neutralPct, peakNegativeBin, peakPositiveBin summary fields let agents branch on sentiment without histogramming the raw bins themselves

Getting started

Public Hosted Instance

A public instance is available at https://gdelt.caseyjhand.com/mcp — no installation required. Point any MCP client at it via Streamable HTTP:

{
  "mcpServers": {
    "gdelt-mcp-server": {
      "type": "streamable-http",
      "url": "https://gdelt.caseyjhand.com/mcp"
    }
  }
}

Self-Hosted / Local

Add the following to your MCP client configuration file.

{
  "mcpServers": {
    "gdelt-mcp-server": {
      "type": "stdio",
      "command": "bunx",
      "args": ["@cyanheads/gdelt-mcp-server@latest"],
      "env": {
        "MCP_TRANSPORT_TYPE": "stdio",
        "MCP_LOG_LEVEL": "info"
      }
    }
  }
}

Or with npx (no Bun required):

{
  "mcpServers": {
    "gdelt-mcp-server": {
      "type": "stdio",
      "command": "npx",
      "args": ["-y", "@cyanheads/gdelt-mcp-server@latest"],
      "env": {
        "MCP_TRANSPORT_TYPE": "stdio",
        "MCP_LOG_LEVEL": "info"
      }
    }
  }
}

Or with Docker:

{
  "mcpServers": {
    "gdelt-mcp-server": {
      "type": "stdio",
      "command": "docker",
      "args": [
        "run", "-i", "--rm",
        "-e", "MCP_TRANSPORT_TYPE=stdio",
        "ghcr.io/cyanheads/gdelt-mcp-server:latest"
      ]
    }
  }
}

For Streamable HTTP, set the transport and start the server:

MCP_TRANSPORT_TYPE=http MCP_HTTP_PORT=3010 bun run start:http
# Server listens at http://localhost:3010/mcp

Prerequisites

• Bun v1.3.0 or higher (or Node.js v24+).
• No API key required — GDELT is a free public API.

Installation

1. Clone the repository:

git clone https://github.com/cyanheads/g