NewsMCP — News Search

What does NewsMCP News Search do?

NewsMCP News Search returns live world news deduplicated into story events — one dataset item per real-world story rather than hundreds of near-identical articles. Each story carries a headline, abstract, key actors, industry and event-type labels, corroboration counts (how many independent newsrooms carried it, separate from syndicated reprints), and links to original sources. Learn more at newsmcp.com.

Why use it?

• Deduplicated stories, not article noise — hundreds of reprints collapse into one story event with a corroboration count.
• Verification built in — the newsrooms field counts outlets that reported independently, mirrors excluded.
• Integration-ready — one JSON dataset item per story, usable from Make, n8n, Zapier, schedules, and the API.

How to use it

1. Optionally enter a Query (keywords) or a Subject (one company, person, or place).
2. Optionally narrow by event type, sector, content type, minimum newsrooms, or date.
3. Run. Each matching story lands in the dataset as one item. You can download the dataset in formats such as JSON, CSV, or Excel.

Running with no input at all returns the most-corroborated stories of the last 24 hours.

Output

One dataset item per story event:

{
    "event_id": "evt_68a39482537d58170c374a0ec880684b",
    "headline": "Cargo Plane Crashes at Miami Airport",
    "abstract": "A Boeing 767 cargo plane crashed at Miami International Airport...",
    "entities": [{ "name": "Miami International Airport", "salience": 0.9 }],
    "event_type": "accidents_disasters.transport_accident",
    "content_type": "news_report",
    "sector": "transport_logistics",
    "newsrooms": 835,
    "reports": 1205,
    "source_count": 1628,
    "language_count": 41,
    "mirror_ratio": 0.53,
    "first_seen": "2026-09-06T18:33:35",
    "last_seen": "2026-09-08T12:50:35",
    "sources": ["https://www.nytimes.com/..."]
}

Event type values

Use exact family.leaf values, comma-separated for OR: corporate_finance.earnings_report, corporate_finance.analyst_rating, corporate_finance.dividends, markets.stock_move, markets.commodity_price, markets.currency_move, deals.merger_acquisition, deals.ipo_filing, deals.asset_sale, governance.board_change, governance.shareholder_vote, governance.executive_departure, society_environment.climate_event, society_environment.public_health, society_environment.environmental_incident, sports.match_result, sports.transfer_signing, sports.championship, justice_crime.arrest_charge, justice_crime.trial_verdict, justice_crime.investigation, security.cyberattack, security.data_breach, security.physical_security_incident, macro_policy.central_bank_decision, macro_policy.trade_policy, macro_policy.fiscal_policy, research_science.scientific_discovery, research_science.clinical_trial_result, research_science.publication, religion_society.religious_event, religion_society.social_movement, politics.election, politics.policy_announcement, politics.diplomacy, legal_regulatory.regulatory_action, legal_regulatory.lawsuit_filed, legal_regulatory.compliance_ruling, culture_media.celebrity_news, culture_media.entertainment_release, culture_media.award, product.product_launch, product.product_recall, product.feature_update, accidents_disasters.natural_disaster, accidents_disasters.industrial_accident, accidents_disasters.transport_accident, operations.plant_closure, operations.layoffs, operations.supply_chain_disruption, funding.venture_funding_round, funding.grant_award, local_civic.local_government_action, local_civic.infrastructure_project, geopolitics.armed_conflict, geopolitics.sanctions, geopolitics.diplomacy_summit, corporate_comms.press_release, corporate_comms.leadership_statement, unclassifiable.

Sector values

government_public_sector, media_entertainment, financial_services, healthcare_pharma, energy_utilities, retail_consumer, real_estate, agriculture_food, telecommunications, automotive, manufacturing_industrial, transport_logistics, aerospace_defense, mining_metals, construction_infrastructure, education, hospitality_travel, sports_recreation, nonprofit_ngo, legal_services, insurance, software_it_services, ecommerce, banking, defense_security, chemicals, fashion_apparel, gaming_esports, biotechnology, semiconductors, other_sector.

Pricing

Priced to be effectively free — a tiny fee per story stored in the dataset. A typical run costs a fraction of a cent.

Related Actors

• get-story — full detail of one story, including its complete source list.
• check-coverage — how widely and independently a claim was reported.
• newsmcp-server — the same data as an MCP server for AI agents.

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