Mediastack MCP. Access global, historical, and live news data.
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Mediastack connects your AI agent directly to 7,500+ global news sources. It lets you search for live headlines or query historical archives using natural language prompts.
You get immediate access to structured data—everything from local sports reports to major financial announcements—all without leaving your chat environment.
What your AI agents can do
Get news
Retrieves current articles or searches archives using dates and keywords.
List sources
Lists every news outlet available on the platform for you to choose from.
Use the get_news tool to fetch headlines and full articles based on keywords, source filters, or specific date ranges.
The list_sources tool returns a complete inventory of every news outlet connected to the server, helping you decide where to focus your search.
You can restrict results to specific countries (e.g., US) or subject areas (e.g., Technology) when querying news data.
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Supported MCP Clients
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Mediastack MCP Server: 2 Tools for Global News Management
These two tools let you pull structured news data—from listing all available sources to fetching historical or live articles.
019e5d34get news
Retrieves current articles or searches archives using dates and keywords.
019e5d34list sources
Lists every news outlet available on the platform for you to choose from.
Choose How to Get Started
Build a custom MCP for your own tools, or connect a ready-made integration from our catalog.
Build Your Own
Turn any API into an MCP. Import a spec, define Agent Skills, or deploy with MCPFusion.
- Import from OpenAPI, Swagger, or YAML specs
- Create Agent Skills with progressive disclosure
- Deploy to edge with MCPFusion framework
- Built in DLP, auth, and compliance on every call
- Real time usage dashboard and cost metering
- Publish to catalog or keep private
Make Your AI Do More
Start with Mediastack, then connect any of our 4,700+ other servers whenever your AI needs more. One click, no limits.
- Use this MCP plus 4,700+ others, all in one place
- Add new capabilities to your AI anytime you want
- Every connection is secured and compliant automatically
- Track usage and costs across all your servers
- Works with Claude, ChatGPT, Cursor, and more
- New servers added to the catalog every week
What you can do with this MCP connector
Mediastack plugs your AI agent straight into over 7,500 global news sources. You don't gotta jump between browser tabs or mess with basic search engines that only show you the top ten results. Your agent handles it all right in the chat window.
When you need to know what's happening, you use list_sources to get a complete rundown of every news outlet connected to the server; this tool shows you the whole inventory so you can pick exactly where you want to focus your search. It gives you visibility into all the available angles.
To pull specific articles or headlines, you run the get_news tool. You can fetch current stories as they break globally, grabbing full articles and fresh headlines instantly. If you're doing research, you can also use get_news to search through historical archives; just tell it a date range, and it pulls up how an issue developed months ago.
The power of the system comes from its filtering capabilities. When using get_news, you can restrict your results down by country—you gotta specify if you want news from the US or another place. You can also narrow things down to specific subject areas, like Technology or Finance. The tool lets you filter sources directly by category or geography, cutting through all the noise so you get exactly what you asked for.
When running get_news, your agent accepts keywords and allows you to specify source filters, meaning if a certain publication is key to your project, you can only pull from that outlet. You don't just get general results; you guide the search using precise date ranges and specific text inputs across those global publishers.
It's designed so you never have to guess where to look for information. The list_sources tool gives you total access, and the get_news tool lets you drill down into live headlines or deep historical context using natural language prompts.
How Mediastack MCP Works
- 1 Subscribe to the Mediastack server and input your unique Access Key into your AI client.
- 2 Tell your agent what you need: 'Give me tech news from Japan last quarter' or 'What are the latest headlines?'
- 3 The agent uses the available tools (
get_newsandlist_sources) to query the global API, then formats the raw data into a concise, readable summary for you.
The bottom line is that your AI client handles all the complex API calls; you just ask the question in plain English.
Who Is Mediastack MCP For?
Journalists who need to verify a timeline of events across multiple global outlets. Market analysts tracking competitor moves or industry shifts in real-time. Content creators needing historical context and diverse angles for articles or reports. You use this when your research requires data from dozens of sources, not just Google's top five.
Uses get_news to track industry trends and competitor news across specific geographic regions without leaving their analysis environment.
Runs the list_sources tool first, then uses get_news to verify a timeline of events by querying exact past dates from multiple outlets.
Uses the server to gather historical context and diverse article angles for newsletters or blog posts, ensuring maximum relevance.
What Changes When You Connect
- Track market shifts with
get_news. You can specify a date range to see how an industry trend unfolded over months, not just today's headlines. This gives you deep, verifiable context. - Don't guess which source has the story. Run
list_sourcesfirst. It immediately shows every supported publisher by country or category, letting you pick the perfect angle for your piece. - Save time on manual data aggregation. Instead of running five different searches across multiple platforms, asking your agent to use Mediastack pulls all the relevant articles from one prompt.
- Get verifiable history. By using
get_newswith specific dates (e.g., 2023-10-05), you prove a timeline for an event, which is impossible with simple search tools. - Filter down to the essential data points. You can narrow results by source, keyword, or region, meaning your agent only hands you clean, actionable intelligence.
Real-World Use Cases
Need a deep dive on an old market crash?
You're researching the 2008 financial crisis. Instead of relying on summaries, your agent uses get_news to query articles from Q3 2008 by specifying date ranges and keywords like 'subprime mortgage'. You get primary source reporting across multiple global outlets.
Writing a competitor analysis piece.
You need to compare how three rival companies handled the recent chip shortage. First, you ask your agent to run list_sources for 'Tech' and 'Finance'. Then, you use those source names with get_news, specifying the date range of the shortage to build a comprehensive comparison.
Verifying an event timeline for a client.
A client claims a major announcement happened on three different days. Your agent uses get_news multiple times, once for each target date and using the company name as the keyword. This proves or disproves their timeline immediately.
Building a source directory.
You're starting a new research project and don't know which local outlets to trust in Brazil. You run list_sources and filter by 'Brazil' and 'News'. The tool returns a vetted list of publishers, saving you days of manual discovery.
The Tradeoffs
Using general search engines
Just Googling 'AI breakthrough in 2024' gives you the top five links, which are often paywalled or only offer superficial summaries.
→
Use Mediastack. Ask your agent to use get_news with 'AI breakthrough' and specify a date range like '2024-01-01/2024-12-31'. This pulls articles directly from the source, giving you real content.
Ignoring source diversity
You only check one major outlet for coverage on a sensitive topic, leading to confirmation bias and an incomplete picture.
→
First, run list_sources to identify five diverse global outlets. Then, use your agent to query get_news using those specific sources to compare angles.
Asking for 'all news'
A vague prompt like 'What's happening in the world?' results in a massive dump of undifferentiated data that’s impossible to read.
→
Be specific. Use get_news and combine filters: 'Tech sector, US, English language, last 7 days.' Precision is key.
When It Fits, When It Doesn't
Use Mediastack if your core job requires sourcing information from multiple, verifiable, real-world news outlets—whether you need current events or archived history. If you're writing a comprehensive report on market trends, verifying political timelines, or comparing global reactions to an event, this is essential.
Don't use it if you just need general knowledge or quick answers that could be found in Wikipedia. For simple definitions or single-subject fact-checking, a standard LLM prompt works fine. If your data needs are limited only to 'today’s top 5 headlines,' the built-in news feeds might suffice. But if you need depth—historical context, source comparison, and structured filtering—Mediastack is the right call.
Independent Platform Disclaimer: Vinkius is an independent platform and is not affiliated with, endorsed by, sponsored by, verified by, or otherwise authorized by Mediastack. 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 2 capabilities that interface natively with Claude, ChatGPT, Cursor, and any MCP client. No middleware. No custom integration required.
Available Capabilities
Finding a verifiable timeline of events shouldn't require cross-referencing dozens of websites.
Right now, if you need to track how an issue unfolded over time, you have to manually jump between the New York Times archive, Reuters, BBC, and local publications. You spend hours copy-pasting dates, running separate searches on different sites, and hoping no source is paywalled or missing data.
With Mediastack, your agent handles it. You ask for 'Article coverage of X from 2019 to 2023.' The tool uses `get_news` to query multiple sources simultaneously, giving you a structured view of the story's evolution without leaving your chat.
Mediastack MCP Server: See global news streams with precise source control.
You eliminate the need to maintain a massive list of APIs and credentials. The `list_sources` tool makes that inventory instantly accessible. You don't have to know where the information lives; you just ask for it by country or category, and the server handles the routing.
It’s simple: Mediastack aggregates global data streams into a single conversation thread. This means your workflow stays fast, focused, and entirely within your AI client.
Common Questions About Mediastack MCP
Can I use the get_news tool to search for non-English articles? +
Yes. You can filter by language when using get_news. Just tell your agent you need news in Spanish or French, and it handles the retrieval from international publishers.
How do I find out what sources are available before I start querying? +
Run the list_sources tool. This immediately gives you a complete list of every supported news outlet, helping you decide which specific angle or region to focus on.
Does Mediastack only give me headlines, or can I get full articles? +
The get_news tool retrieves both. You get the headline and a summary of the article content, giving you enough detail to decide if you need more context.
Is Mediastack good for academic research on specific dates? +
It's excellent for historical tracking. Use get_news and specify a precise date or date range, allowing you to build verified timelines that standard search engines can’t match.
When I use get_news, what is required to successfully access the global news data? +
You must provide a valid Mediastack Access Key. After subscribing to the server, your AI client needs this key entered into the connection settings before any calls will work.
Does calling list_sources or get_news have usage restrictions or rate limits? +
Yes, all API usage is subject to established rate limits. You need to check the official documentation linked on the server page for your current quota details and recommended retry intervals.
If I use get_news, can I filter by both a keyword AND a specific geographical region in one request? +
Yes. The tool supports compound filtering, letting your agent combine multiple parameters simultaneously. You can narrow results using keywords and geographic regions within the same query.
When I use list_sources, what data format should I expect for the supported news outlets? +
The tool returns all source information in a standardized JSON format. This structure is designed to be easily parsed by your AI client, allowing it to read names, categories, and country codes directly.
Can I filter news by specific countries or languages? +
Yes! Use the get_news tool and specify the countries (e.g., 'us') or languages (e.g., 'en') parameters to narrow down your search results.
How do I find which news sources are available? +
Simply use the list_sources tool. You can optionally filter the list by category, country, or language to find the exact publishers supported by Mediastack.
Can I search for news from a specific date in the past? +
Absolutely. The get_news tool accepts a date parameter. You can provide a single date (YYYY-MM-DD) or a date range to retrieve historical articles.
Use it with your favorite AI tools
Connect this server to Cursor, Claude, VS Code, and more.
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