WorldNewsAPI MCP. Audit global headlines and source metadata in a single conversation.
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WorldNewsAPI searches global news sources for articles, top stories, and metadata. Run complex media audits by keyword or country without visiting any web portal.
It allows your AI agent to pull article content and source details directly into your workflow.
What your AI agents can do
Check api status
Checks if the WorldNews service is currently running and operational.
Extract news from url
Pulls article content and metadata from a specific news URL you provide.
Get top world news
Retrieves the top headlines for a specified country and language combination.
The agent sends a keyword or phrase and returns multiple real-time news articles from around the world.
You specify a country and language, and the tool fetches the current list of major headlines for that region.
The agent takes one news link and pulls out the full text, publication date, and source data.
You get detailed information about a specific article's source markers without needing the full content.
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WorldNewsAPI: 4 Tools for Global News Data Operations
These four tools let you search news sources by keyword, find top regional headlines, pull content from specific links, and check the API status.
019d849fcheck api status
Checks if the WorldNews service is currently running and operational.
019d849fextract news from url
Pulls article content and metadata from a specific news URL you provide.
019d849fget top world news
Retrieves the top headlines for a specified country and language combination.
019d849fsearch world news
Searches for world news articles using any keyword or phrase you input.
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What you can do with this MCP connector
Look, you shouldn't have to click through a dozen different news sites just to run an audit. Your agent doesn't need to browse anything; it just needs the answers. This server lets your AI client pull massive amounts of global journalism data directly into whatever workflow you're running.
First things first: you can check the connection using check_api_status. This confirms that the WorldNews service is actually up and operational before you waste time writing a prompt. If it passes, you're good to go.
Need to know what everyone’s talking about globally? You send a keyword or a phrase—anything at all—and use search_world_news. Your agent sends that query, and boom, it gets back real-time articles from around the world. It doesn't just give you titles; it pulls multiple news hits based on what you input.
If you want to audit top stories for a specific market, say French headlines in Germany, you use get_top_world_news. You just specify the country and the language combination, and the tool fetches the current list of major regional headlines for you. It’s precise like that.
When you find an article link—a URL, whatever—you don't have to visit it yourself. Instead, your agent runs extract_news_from_url. This function pulls out the full text, the publication date, and all the source details from that single link. It gives you the whole package in structured format.
If you just need background info on an article's origin—like classifying its style or knowing exactly where it came from—you use search_world_news to get detailed article metadata. This lets your agent pull source markers and deep data about a specific piece without needing the entire body of text. It’s all mechanisms, no guessing games.
Your AI client can chain these tools together for complex media audits. For instance, you might first use search_world_news to gather articles on 'quantum computing' from three different countries across various keywords. Then, you feed specific URLs found in those search results into extract_news_from_url to pull the actual article content and dates.
You can follow up by using get_top_world_news for a secondary check of regional sentiment in another area, like Japanese headlines about tech policy. Every piece of data—the initial search hits, the top stories list, the extracted full text, and the source metadata—gets structured and ready for your next step. You're running an analyst-grade audit from your terminal, not from a browser tab.
How WorldNewsAPI MCP Works
- 1 Subscribe to the WorldNewsAPI server and provide your API key.
- 2 Instruct your AI client (e.g., 'Check for top stories in France').
- 3 The agent executes the necessary tool call, receiving structured news data directly into the chat.
The bottom line is you talk to your agent like a human analyst and it runs the complex API calls behind the scenes.
Who Is WorldNewsAPI MCP For?
Any role that needs reliable, verifiable information across multiple global sources. This is for the market researcher who can't afford manual data collection, or the journalist who needs to verify source bias quickly. You use this when your job depends on knowing what happened in three different time zones.
Runs search_world_news to track how key industries are being covered globally, allowing for pattern identification.
Uses extract_news_from_url on a suspicious link to pull full text and metadata instantly for fact-checking or drafting.
Calls get_top_world_news repeatedly for specific regions (e.g., MENA, East Asia) to monitor shifts in regional focus.
What Changes When You Connect
- Get structured news data without manual scraping. Instead of spending hours clicking through dozens of websites, your agent uses
search_world_newsto deliver articles based on keywords or phrases. This saves time and keeps the data organized. - Deep dive into any story using
extract_news_from_url. You paste a link, and the tool returns not just the text, but also the publication date and author metadata—critical info you can't get otherwise. - Track global focus points with
get_top_world_news. Need to know what's happening in Brazil right now? Just specify 'Brazil' and 'Portuguese', and the tool gives you a clean list of top stories instantly. - Maintain operational awareness. Before starting a large research project, run
check_api_statusto make sure your data stream won't drop out halfway through—no unexpected failures. - Verify source detail with metadata. Use tools like
search_world_newsand then check the retrieved article details. This lets you identify relevant stylistic markers for deep research classification.
Real-World Use Cases
Monitoring a competitor's regional focus
A market researcher needs to know what competitors are talking about in Southeast Asia. Instead of checking five different local news sites, they tell their agent: 'Show the top stories in Singapore and Indonesia.' The agent runs get_top_world_news for both regions, giving a clean comparison.
Fact-checking a controversial claim
A journalist reads an article online but suspects it's misleading. They pass the suspicious URL to their agent. The agent runs extract_news_from_url, pulling out the full text and source metadata, allowing the journalist to verify if the content matches the reported date or author.
Tracking a sudden industry shift
A policy lead needs to know how 'carbon credits' are being discussed globally. They run search_world_news with that phrase, instantly retrieving articles from diverse sources worldwide so they can map the scope and geographical spread of the discussion.
Preparing for a client briefing
An analyst needs quick background on an emerging economy. They tell their agent to 'Get top news stories in Vietnam.' The agent uses get_top_world_news to provide immediate, current headlines across major local languages.
The Tradeoffs
Using general search for specific links
The user runs a broad search_world_news query hoping it will pull the full text from a single, known article URL. It only gives summaries and metadata.
→
If you have a specific link, don't use keyword searches. Use extract_news_from_url. This tool is designed to scrape deep content and all associated metadata from that exact web address.
Assuming top stories cover everything
Relying solely on get_top_world_news because it's easy. You might miss niche but critical articles about a specific technical topic.
→
If you need to track a precise concept (like 'quantum computing'), use search_world_news. This tool lets you query for the keyword across all global sources, not just the curated top list.
Ignoring API health checks
Starting a massive audit job and realizing halfway through that the data stream has stopped working because of an undocumented rate limit or outage.
→
Always run check_api_status first. This simple call confirms the service is fully operational before you dedicate your time to complex, long-running research jobs.
When It Fits, When It Doesn't
Use this server if your job requires cross-source media auditing and structured data extraction. You need reliable content metadata (author, date) or a comprehensive view of global discussion around a keyword. Never use it if you just want to browse the headlines—that's what Google News is for.
Do NOT use this if:
1. You are looking for subjective opinion pieces and only care about if a story exists (Use general web search).
2. You need real-time, live data streams that change every second (You need a dedicated streaming service).
3. Your primary goal is to analyze the visual layout or feel of a webpage (This API extracts text/data, not CSS).
Independent Platform Disclaimer: Vinkius is an independent platform and is not affiliated with, endorsed by, sponsored by, verified by, or otherwise authorized by WorldNewsAPI. All third-party trademarks, logos, and brand names are the property of their respective owners. Their use on this website is strictly for informational purposes to identify service compatibility and interoperability.
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Works with Claude, ChatGPT, Cursor, and more
The Model Context Protocol standardizes how applications expose capabilities to LLMs. Instead of operating in isolation, your AI gains direct access to external platforms, live data, and real-world actions through secure, standardized connections.
This server provides 4 capabilities that interface natively with Claude, ChatGPT, Cursor, and any MCP client. No middleware. No custom integration required.
Available Capabilities
Manual media auditing takes too much time.
Today, running a global audit means opening 5-10 different news portals. You copy the keyword into each one, click through multiple pages to find the best results, and then manually copy/paste article links into a spreadsheet just to start classifying them.
With WorldNewsAPI, you tell your agent what you need—say, 'All articles about AI regulations in Europe.' The tool runs `search_world_news`, gathering all those sources automatically. You get the clean data and metadata right in the chat.
WorldNewsAPI: Pulling deep content from specific links.
If you find a promising article via search, the manual process requires opening the link, scrolling down to copy the main body text (which is often messy), and then trying to figure out if the author or publication date is correct.
Now, use `extract_news_from_url`. You give it the link; you get the clean article text, plus structured metadata for the source. It’s immediate, verifiable data.
Common Questions About WorldNewsAPI MCP
How do I check if WorldNewsAPI is working? +
Run check_api_status. This simple tool confirms if the entire news service is operational before you start any complex research. It's good practice to run this first.
Should I use search_world_news or get_top_world_news? +
search_world_news is better when you need a specific keyword (e.g., 'chip shortage'). get_top_world_news only gives you the major, curated stories for a country and language.
How do I get metadata from an article? +
You use extract_news_from_url. This tool takes a specific link and pulls out publication details, author data, and the full text body in one go.
Can WorldNewsAPI search across different countries? +
Yes. You can use get_top_world_news by specifying multiple country/language pairs to audit regional focus simultaneously.
What credentials do I need to use `search_world_news`? +
You must provide your unique WorldNewsAPI key for authentication. Your AI client passes this key directly in the request headers or parameters, which validates your access before running any searches.
How should I handle errors when using `extract_news_from_url`? +
If you encounter a failure (like a timeout or 429 rate limit), your agent needs to pause and retry the request. The API response will contain specific status codes, letting you build reliable error handling into your workflow.
Can I get structured JSON output when using `get_top_world_news`? +
Yes, you specify a JSON schema in the tool's parameters. This forces the service to return data in a predictable structure, making it immediately usable by your agent for analysis.
What is the best workflow combining `search_world_news` and `extract_news_from_url`? +
First, use search_world_news to find a list of relevant article URLs. Then, pass those specific links sequentially into the extract_news_from_url tool. This allows you to efficiently deep-dive into only the articles you found.
How do I find my WorldNewsAPI Key? +
Sign up for an account at worldnewsapi.com, and you will find your API Key in your dashboard. Copy and paste it below.
Can I filter news by country? +
Yes. Use the get_top_world_news tool and provide the 2-letter country code (e.g., 'us' or 'br'). Your agent will return matching top stories instantly.
Does it support article extraction? +
Yes. The extract_news_from_url tool retrieves the full text and metadata for a news article from any specified URL in the database.
Use it with your favorite AI tools
Connect this server to Cursor, Claude, VS Code, and more.
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