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NewsMCP Review

NewsMCP is a specialized, read-only news product designed for AI agents, providing real-time, deduplicated news events with AI-clustered topics and geographic filtering.

shipped Sep 11, 2026freemium
NewsMCP — product screenshot

Why it matters

1NewsMCP was launched by NewsCatcher on September 7, 2026.
2It offers five read-only tools for AI agents, including 'news' and 'get_story'.
3The platform operates on the Model Context Protocol (MCP) specification (2026-07-28), which transitioned to a stateless architecture.
4NewsMCP provides a 'Keyless' free tier with a 7-day lookback and 20 calls per hour.

Specs

API Available

Yes, public API

overview

What is NewsMCP?

NewsMCP is a specialized AI news aggregation tool developed by NewsCatcher that enables AI agents to access structured, deduplicated news events. It operates on the Model Context Protocol (MCP), an open standard designed for AI assistants to connect with external data sources, optimizing for token efficiency within an agent's context window by providing events rather than raw article links.

NewsMCP offers five distinct read-only tools for AI agents: news for searching synthesized story events with filters, get_story for expanding a single story into a summary with classifications and source links, check_coverage to assess reporting independence, check_limits to report current usage quotas, and check_health to confirm API reachability. Its primary use cases include providing real-time world news to AI agents, deduplicating news stories by clustering multiple sources into a single event, classifying news by topic and geography, and enabling AI agents to reason over events rather than raw headlines. The platform is distinct from NewsCatcher's broader News API, which is designed for production workflows requiring full article text and extensive archives.

features

Key Features of NewsMCP

NewsMCP is engineered to provide AI agents with highly structured and relevant news data, focusing on efficiency and accuracy. Its feature set is tailored to support advanced AI reasoning over current events.

  • Live news, deduplicated into events, searchable within minutes of publication.
  • AI-clustered events, classifying news by topic and geography.
  • Geographic filtering and filtering by language, country, entity, and topic.
  • Independent newsroom corroboration counts for assessing claim coverage.
  • Five read-only tools: news, get_story, check_coverage, check_limits, check_health.
  • Full commercial license included with every plan, even free tiers.
  • Data freshness: searchable within minutes of publication.
  • Event data fields include event_id, headline, abstract, entities, source_count, and newsrooms.
  • Supports worldwide sources across dozens of languages, with cross-language clustering.
  • Response format: Markdown digest by default over MCP, JSON via response_format: json or REST endpoint.

use cases

Who Should Use NewsMCP?

NewsMCP is specifically designed for AI agents, developers building AI agents, and enterprise teams requiring real-time news for AI applications. Its structured output and token efficiency make it suitable for various AI-driven tasks.

  • AI agents requiring real-time world news for answering questions, ad hoc research, or providing context during coding sessions.
  • Developers building AI agents who need to integrate current, structured news data efficiently.
  • Enterprise teams automating news research for business processes, requiring deduplicated events and topic classification.
  • Users needing to quickly understand a topic with AI-generated news summaries or evaluate arguments for a subject.
  • Individuals or projects automating news research for personal or educational purposes, visualizing event sequences in long-running stories.

how to use

How to Use NewsMCP

NewsMCP is designed for straightforward integration with AI agent platforms and offers a browser-based playground for initial testing without an API key. It leverages the Model Context Protocol (MCP) for agent interaction.

  • 1Access the browser-based playground on newsmcp.com for keyless testing of the API.
  • 2Integrate with platforms like Claude Code or Cursor using one-click setup options.
  • 3Utilize the news tool to search for synthesized story events, applying filters such as subject, event type, and start date.
  • 4Employ the get_story tool to expand a specific story, retrieving a full summary, classification, actors, and source links.
  • 5Monitor API usage and health with the check_limits and check_health tools.
  • 6For production workflows, integrate via the REST API or MCP, specifying response_format: json for structured JSON output.

pricing

NewsMCP Pricing & Plans

NewsMCP operates on a freemium model, offering both keyless and free key tiers, alongside an enterprise option for advanced requirements. All plans include a full commercial license.

  • Keyless: Free. Includes a 7-day lookback, 20 calls per hour, and 20 stories per call.
  • Free key: Free. Provides a 14-day lookback, 50 calls per hour, and 50 stories per call.
  • Enterprise: 'Talk to us' for pricing. Features include standing queries pushing new events to endpoints, access to 2.5 billion+ articles indexed across 7+ years, 40+ filters, 30+ data fields, and Service Level Agreements (SLAs) with SOC 2 Type II compliance.

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Pros

  • +Provides deduplicated news events, optimizing token efficiency for AI agents.
  • +Offers AI-clustered events with topic classification and geographic filtering.
  • +Includes independent newsroom corroboration counts for assessing claim reliability.
  • +Features five specialized read-only tools for comprehensive news interaction.
  • +Supports worldwide sources across dozens of languages, with cross-language clustering.
  • +Offers a generous free tier with a 14-day lookback and 50 calls per hour.

Cons

  • −Primarily read-only, limiting interactive capabilities for agents.
  • −Lookback period is limited to 14 days for free tiers, requiring Enterprise for deeper archives.
  • −Specific individual user reviews are not extensively detailed in public information.
  • −Enterprise pricing requires direct contact, lacking transparency for larger deployments.

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