Media

Data source: GDELT 2.0 API, Hacker News (Algolia)

MCP Endpoint (Streamable HTTP) https://context.gnist.ai/mcp/news-intelligence/

Authentication

All requests require a Gnist-API-Key header (or api_key query parameter).

Free tier: 100 calls/day. Get your API key.

Tools (7)

search_news
get_trending_stories
get_news_sentiment
get_news_coverage
get_news_geography
list_news_intelligence_sources
report_feedback

search_news

Search news across GDELT (global media, 150+ countries) and Hacker News (tech community) in parallel.

Queries both sources concurrently, normalizes articles into a unified format,
and deduplicates by URL when the same story appears in both sources.

Examples:
search_news(query="artificial intelligence")
search_news(query="climate change", timespan="7d", source_country="US")
search_news(query="Norway oil", source_lang="Norwegian")

Parameter	Type	Required	Description
`query`	`string`	required	Search query for news articles.
`timespan`	`string`	optional	GDELT time window (e.g. '24h', '7d', '3m'). (default: "24h")
`max_results`	`integer`	optional	Max articles to return. (default: 25)
`source_country`	`any`	optional	Filter GDELT by source country code.
`source_lang`	`any`	optional	Filter GDELT by source language code.

JSON-RPC Request

{
  "jsonrpc": "2.0",
  "method": "tools/call",
  "id": 1,
  "params": {
    "name": "search_news",
    "arguments": {
      "query": "example"
    }
  }
}

get_trending_stories

Get trending tech and startup stories from Hacker News.

Returns stories sorted by engagement (points) from the specified time window.
Great for monitoring what the tech community is discussing right now.

Examples:
get_trending_stories()
get_trending_stories(hours_ago=6, min_points=50)
get_trending_stories(hours_ago=168, min_points=100, max_results=10)

Parameter	Type	Required	Description
`hours_ago`	`integer`	optional	Lookback window in hours. (default: 24)
`min_points`	`integer`	optional	Minimum points threshold. (default: 10)
`max_results`	`integer`	optional	Max stories to return. (default: 25)

JSON-RPC Request

{
  "jsonrpc": "2.0",
  "method": "tools/call",
  "id": 1,
  "params": {
    "name": "get_trending_stories",
    "arguments": {}
  }
}

get_news_sentiment

Get media sentiment timeline for a topic from global news sources (GDELT).

Returns tone values (-100 to +100) over time. Negative values indicate
negative coverage, positive values indicate positive coverage.

Examples:
get_news_sentiment(query="Tesla")
get_news_sentiment(query="Norway economy", timespan="3m")
get_news_sentiment(query="OpenAI", timespan="30d", smooth=5)

Parameter	Type	Required	Description
`query`	`string`	required	Topic to analyze sentiment for.
`timespan`	`string`	optional	Time window (e.g. '24h', '7d', '3m'). (default: "7d")
`smooth`	`integer`	optional	Smoothing factor for timeline. (default: 0)

JSON-RPC Request

{
  "jsonrpc": "2.0",
  "method": "tools/call",
  "id": 1,
  "params": {
    "name": "get_news_sentiment",
    "arguments": {
      "query": "example"
    }
  }
}

get_news_coverage

Get media coverage volume timeline for a topic from global news sources (GDELT).

Returns the volume of articles published over time, useful for detecting
when a topic spikes in media attention.

Examples:
get_news_coverage(query="Bitcoin")
get_news_coverage(query="climate summit", timespan="30d")
get_news_coverage(query="election", timespan="3m", smooth=3)

Parameter	Type	Required	Description
`query`	`string`	required	Topic to measure coverage for.
`timespan`	`string`	optional	Time window (e.g. '24h', '7d', '3m'). (default: "7d")
`smooth`	`integer`	optional	Smoothing factor for timeline. (default: 0)

JSON-RPC Request

{
  "jsonrpc": "2.0",
  "method": "tools/call",
  "id": 1,
  "params": {
    "name": "get_news_coverage",
    "arguments": {
      "query": "example"
    }
  }
}

get_news_geography

Get geographic breakdown of media coverage for a topic from GDELT.

Shows which countries' media are covering a topic and their relative volume.
Useful for understanding the geographic spread of news coverage.

Examples:
get_news_geography(query="Ukraine")
get_news_geography(query="oil prices", timespan="7d")
get_news_geography(query="artificial intelligence", timespan="3m")

Parameter	Type	Required	Description
`query`	`string`	required	Topic to analyze geographic coverage for.
`timespan`	`string`	optional	Time window (e.g. '24h', '7d', '3m'). (default: "24h")

JSON-RPC Request

{
  "jsonrpc": "2.0",
  "method": "tools/call",
  "id": 1,
  "params": {
    "name": "get_news_geography",
    "arguments": {
      "query": "example"
    }
  }
}

list_news_intelligence_sources

List all news intelligence data sources, their coverage, and data types.

Shows which news databases and community platforms are queried
during news intelligence operations.

Examples:
list_news_intelligence_sources()

JSON-RPC Request

{
  "jsonrpc": "2.0",
  "method": "tools/call",
  "id": 1,
  "params": {
    "name": "list_news_intelligence_sources",
    "arguments": {}
  }
}

report_feedback

Report a bug, feature request, or general feedback for this data source.

Use this when something doesn't work as expected, when you'd like
a new feature, or when you have suggestions for improvement.

Args:
feedback: Describe the issue or suggestion.
feedback_type: One of 'bug', 'feature_request', or 'general'.

Parameter	Type	Required	Description
`feedback`	`string`	required
`feedback_type`	`string`	optional	(default: "general")

JSON-RPC Request

{
  "jsonrpc": "2.0",
  "method": "tools/call",
  "id": 1,
  "params": {
    "name": "report_feedback",
    "arguments": {
      "feedback": "example"
    }
  }
}

Quick Start

Shell

curl -X POST "https://context.gnist.ai/mcp/news-intelligence/" \
  -H "Content-Type: application/json" \
  -H "Accept: application/json, text/event-stream" \
  -H "Gnist-API-Key: YOUR_API_KEY" \
  -d '{"jsonrpc": "2.0", "method": "tools/call", "id": 1, "params": {"name": "search_news", "arguments": {"query": "example"}}}'

Python

import httpx

resp = httpx.post(
    "https://context.gnist.ai/mcp/news-intelligence/",
    headers={"Gnist-API-Key": "YOUR_API_KEY", "Content-Type": "application/json"},
    json={
  "jsonrpc": "2.0",
  "method": "tools/call",
  "id": 1,
  "params": {
    "name": "search_news",
    "arguments": {
      "query": "example"
    }
  }
},
)
print(resp.json())