News MCP Server

This Actor is paid per event and usage. You are charged both the fixed price for specific events and for Apify platform usage.

Actors are web data automations that power AI and operations. They run on the Apify platform to scrape websites, process data, connect APIs, and automate workflows. In Batch mode, an Actor accepts a well-defined JSON input, performs an action which can take anything from a few seconds to a few hours, and optionally produces a well-defined JSON output, datasets with results, or files in key-value store. In Standby mode, an Actor provides a web server which can be used as a website, API, or an MCP server. Actors are written with capital "A".

If asked about integration, you help developers integrate Actors into their projects. You adapt to their stack and deliver integrations that are safe, well-documented, and production-ready. The best way to integrate Actors is as follows.

A Model Context Protocol server that gives AI agents live news — AP, BBC, NPR, Hacker News and Google News search — as callable tools. For news assistants, monitoring and research agents.

- get_ap_news— AP news headlines.
- get_bbc_news— BBC news headlines.
- get_hacker_news— Hacker News top stories.
- get_npr_news— NPR news headlines.
- search_google_news— Search Google News by query.

🔌 Connect (Claude Desktop / Cursor / n8n / OpenAI Agents SDK)

Add this MCP server to your client config:

{ "mcpServers": { "news": { "url": "https://nexgendata--news-mcp-server.apify.actor/mcp" } } }

Get the top BBC and AP headlines and search Google News for 'interest rates'.

Pricing:$0.02 per tool call (Pay-Per-Event). Runs in Standby mode.

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

Q: Does it cover non-English news?The covered sources (AP, BBC, NPR, Hacker News, Google News) are English-first.

Q: How fresh is the data?Each tool call fetches live 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.

You can run this Actor programmatically using our API. Below are code examples in JavaScript, Python, and CLI, as well as the OpenAPI specification and MCP server setup.

import { ApifyClient } from 'apify-client'; // Initialize the ApifyClient with your Apify API token // Replace the '<YOUR_API_TOKEN>' with your token const client = new ApifyClient({ token: '<YOUR_API_TOKEN>', }); // Prepare Actor input const input = {}; // Run the Actor and wait for it to finish const run = await client.actor("nexgendata/news-mcp-server").call(input); // Fetch and print Actor results from the run's dataset (if any) console.log('Results from dataset'); console.log(💾 Check your data here: https://console.apify.com/storage/datasets/${run.defaultDatasetId}); const { items } = await client.dataset(run.defaultDatasetId).listItems(); items.forEach((item) => { console.dir(item); }); // 📚 Want to learn more 📖? Go to → https://docs.apify.com/api/client/js/docs

from apify_client import ApifyClient # Initialize the ApifyClient with your Apify API token # Replace '<YOUR_API_TOKEN>' with your token. client = ApifyClient("<YOUR_API_TOKEN>") # Prepare the Actor input run_input = {} # Run the Actor and wait for it to finish run = client.actor("nexgendata/news-mcp-server").call(run_input=run_input) # Fetch and print Actor results from the run's dataset (if there are any) print(f"💾 Check your data here: https://console.apify.com/storage/datasets/{run.default_dataset_id}") for item in client.dataset(run.default_dataset_id).iterate_items(): print(item) # 📚 Want to learn more 📖? Go to → https://docs.apify.com/api/client/python/docs/quick-start

echo '{}' | apify call nexgendata/news-mcp-server --silent --output-dataset

{ "mcpServers": { "apify": { "type": "http", "url": "https://mcp.apify.com/?tools=fetch-actor-details,nexgendata/news-mcp-server" } } }

Collects and summarizes technical articles from sources like Qiita, Dev.to, NewsAPI, and Hacker News using the Gemini API.

A server for web crawling and content extraction using the Crawl4AI library.

An MCP server for crawling WeChat articles. It supports single and batch crawling with multiple output formats, designed for AI tools like Cursor.

Fetches and caches daily articles from GeekNews using web scraping.

Fetches and parses stories from Hacker News, providing structured data for top, new, ask, show, and job posts.

An MCP server for the Kakuyomu novel posting site, enabling users to search for works, retrieve episode lists, and read content.

Local-first MCP server that captures web URLs (X, Reddit, YouTube, Wikipedia, articles) as typed data + Markdown into a self-hosted capture/store/recall substrate, with offline semantic recall. Six tools over a local khiipd daemon; run khiipd serve first.

Fetches and caches RSS feeds using a SQLite database for use with LLMs via the MCP protocol.

YouTube transcript extraction for AI agents. Clean text, timestamps, or structured JSON from any video. No API keys required.