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📰 News MCP Server — Real-Time News, Press Releases & Media Monitoring for AI Agents

Connect AI agents to live news + press-release data through the Model Context Protocol — AP News, PR Newswire, Reddit, Hacker News, and broad-web media monitoring. A drop-in alternative to NewsAPI ($449/mo), GDELT, Webhose, and Aylien — without the enterprise contracts.

Why This MCP Server Beats NewsAPI, GDELT, Webhose & Aylien

Most media-intel teams pick this MCP server because it is cheaper than NewsAPI's monthly minimums and the only way to give Claude or ChatGPT live access to AP News + PR Newswire + Reddit + Hacker News in one tool surface.

What You Get

Tools exposed to your AI agent:

• search_news — keyword + date-range + source filter across major news sources
• get_press_releases — fresh PR Newswire releases by company, industry, region
• monitor_reddit — top posts + sentiment from any subreddit
• monitor_hackernews — top stories + comments by score / recency
• get_ap_breaking — AP News breaking-news feed
• media_sentiment — aggregate sentiment score across recent coverage of a brand / ticker / topic
• source_compare — same story across multiple outlets for bias / framing analysis

All responses are clean JSON optimized for LLM function-calling.

Use Cases

• Brand monitoring agents — Claude wakes hourly, scans coverage of a brand, alerts on negative sentiment spikes
• Equity research bots — auto-summarize headline news + press releases for a ticker before earnings
• PR / comms teams — draft response memos when competitor PRs land in the wire
• Crisis comms — real-time MCP alerts during a developing news cycle
• Investor relations — auto-monitor analyst coverage and trade-press takes
• Content creators — agents draft trend-of-the-day posts from news + Reddit + HN signal
• Policy / regulatory teams — agents track Federal Register + AP coverage of a rule change

Quick Start

from apify_client import ApifyClient
client = ApifyClient("YOUR_APIFY_TOKEN")
run = client.actor("nexgendata/news-mcp-server").call(run_input={
"tool":"search_news",
"params":{"query":"Federal Reserve rate decision","from":"2026-05-01","limit":50}
})
for item in client.dataset(run["defaultDatasetId"]).iterate_items():
print(item["headline"], item["source"], item["publishedAt"])

Or hook this MCP server directly into Claude Desktop or Cursor and ask in natural language: "Summarize all AP and Reuters coverage of NVDA earnings from the last 24 hours and rank by financial-analyst quote density."

Pricing

Pay-per-event:

• Actor Start: ~$0.0002
• Tool call: $0.002 per call

A media-intel agent making 50 tool calls per task spends ~$0.10. Compare to NewsAPI Business at $449/mo flat.

Related NexGenData Actors

FAQ

Q: Is the news data licensed? The server scrapes publicly available news pages and press-wire RSS feeds. For redistribution beyond internal analysis, check the target source's ToS.

Q: Does it cover non-English news? Reddit + HN are English-first. AP + PR Newswire serve mostly English. Roadmap includes multilingual sources — open an issue if you have a specific language priority.

Q: How fresh is the data? AP + PR Newswire are near-real-time (60-second poll). Reddit + HN refresh every 5 minutes. Sentiment aggregation runs on the freshest data at call time.

Q: Can the AI agent stream news as it arrives? The MCP call pattern is request-response. For streaming, schedule the actor on a webhook and POST to your agent endpoint.

Q: How do I avoid duplicate stories across sources? The source_compare tool de-duplicates by canonical URL + title fuzzy-match.

Q: Can I export historical archives? Each tool call returns live data. Schedule the actor + capture to your warehouse for an archive.

Q: Is this safe for production trading bots? Yes — runs on Apify auto-scaling infrastructure. For sub-100ms latency, run a dedicated actor instance.

About NexGenData

NexGenData publishes 260+ buyer-intent actors plus a family of MCP servers for AI agent workflows. All pay-per-result. Browse the full catalog at https://apify.com/nexgendata?fpr=2ayu9b

How NexGenData Pricing Works

Every NexGenData actor uses pay-per-event pricing — you only pay for results that actually land in your dataset. No monthly minimum, no seat fees, no surprise overage bills.

• Actor Start: a single-event charge each time you spin the actor up (scaled to memory size)
• Result: charged per item written to the default dataset
• No charge for retries, internal proxy rotation, or failed sub-requests — those are absorbed by the platform

If you only need the data once a quarter, you only pay once a quarter. If you scale to millions of records, the unit cost stays the same.

Apify Platform Bonus

New to Apify? Sign up with the NexGenData referral link — you get free platform credits on signup (enough for several thousand free results) and you help fund the maintenance of this actor fleet.

Integration Surface

Every actor in the NexGenData catalog can be triggered from:

• Apify console — point-and-click run
• Apify API — REST + webhooks
• Apify Python / JS SDKs — programmatic batch
• Zapier, Make.com, n8n — official integrations
• MCP — many actors are exposed as MCP tools for Claude / ChatGPT / Cursor agents
• Schedules — built-in cron for daily / weekly / monthly runs
• Webhooks — POST results to any HTTPS endpoint on dataset write

Support

NexGenData maintains 260+ Apify actors and ships updates regularly. Bug reports via the Apify console issues tab get a response within 24 hours. Roadmap requests are welcome — high-demand features ship in the next version.

🏠 Home: thenextgennexus.com 📦 Full catalog: apify.com/nexgendata