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">

[![Version](https://img.shields.io/badge/Version-0.2.7-blue.svg?style=flat-square)](./CHANGELOG.md) [![License](https://img.shields.io/badge/License-Apache%202.0-orange.svg?style=flat-square)](./LICENSE) [![Docker](https://img.shields.io/badge/Docker-ghcr.io-2496ED?style=flat-square&logo=docker&logoColor=white)](https://github.com/users/cyanheads/packages/container/package/gdelt-mcp-server) [![MCP SDK](https://img.shields.io/badge/MCP%20SDK-^2.0.0-green.svg?style=flat-square)](https://modelcontextprotocol.io/) [![npm](https://img.shields.io/npm/v/@cyanheads/gdelt-mcp-server?style=flat-square&logo=npm&logoColor=white)](https://www.npmjs.com/package/@cyanheads/gdelt-mcp-server) [![TypeScript](https://img.shields.io/badge/TypeScript-^7.0.2-3178C6.svg?style=flat-square)](https://www.typescriptlang.org/) [![Bun](https://img.shields.io/badge/Bun-v1.4.0-blueviolet.svg?style=flat-square)](https://bun.sh/)

</div>

<div align="center">

[![Install in Claude Desktop](https://img.shields.io/badge/Install_in-Claude_Desktop-D97757?style=for-the-badge&logo=anthropic&logoColor=white)](https://github.com/cyanheads/gdelt-mcp-server/releases/latest/download/gdelt-mcp-server.mcpb) [![Install in Cursor](https://cursor.com/deeplink/mcp-install-dark.svg)](https://cursor.com/en/install-mcp?name=gdelt-mcp-server&config=eyJjb21tYW5kIjoibnB4IiwiYXJncyI6WyIteSIsIkBjeWFuaGVhZHMvZ2RlbHQtbWNwLXNlcnZlciJdfQ==) [![Install in VS Code](https://img.shields.io/badge/VS_Code-Install_Server-0098FF?style=for-the-badge&logo=visualstudiocode&logoColor=white)](https://vscode.dev/redirect?url=vscode:mcp/install?%7B%22name%22%3A%22gdelt-mcp-server%22%2C%22command%22%3A%22npx%22%2C%22args%22%3A%5B%22-y%22%2C%22%40cyanheads%2Fgdelt-mcp-server%22%5D%7D)

[![Framework](https://img.shields.io/badge/Built%20on-@cyanheads/mcp--ts--core-67E8F9?style=flat-square)](https://www.npmjs.com/package/@cyanheads/mcp-ts-core)

</div>

<div align="center">

**Public Hosted Server:** [https://gdelt.caseyjhand.com/mcp](https://gdelt.caseyjhand.com/mcp)

</div>

---

## 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

---

### `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

---

### `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

---

### `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

---

### `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

---

### `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

---

### `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

---

### `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

---

### `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`](https://www.npmjs.com/package/@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` b