Currents MCP for AI. Monitor global news streams in real-time.
Works with every AI agent you already use
…and any MCP-compatible client








Connect to your AI in seconds.
Currents MCP lets your AI agent read global news in real-time. It searches a database of tens of millions of articles, letting you track specific topics or industry trends across multiple countries and languages directly from your client.
What your AI can do
Check auth
Verifies if the connection key is valid and active for current use.
List categories
Pulls a list detailing all available types of news content (e.g., business, sports).
List languages
Lists every language supported by the API for filtering results.
Your AI client streams the absolute latest international articles as they are published.
You can search millions of archived articles using advanced keywords, including AND or OR logic.
The agent filters results based on specific countries, languages, or media categories.
You list all supported regions, languages, and news categories to scope your search precisely.
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Currents: 6 Tools for Media Monitoring
These tools give your agent the precise controls needed to interact with global media data, from listing available countries to performing complex keyword searches.
Make your AI actually useful.
Add this MCP to Claude, Cursor, or Windsurf and your AI stops guessing. It gets real tools to look things up, take action, and handle the stuff you keep doing by hand.
Start using Currents on VinkiusCheck Auth
Verifies if the connection key is valid and active for current use.
List Categories
Pulls a list detailing all available types of news content (e.g., business, sports).
List Languages
Lists every language supported by the API for filtering results.
Get Latest News
Retrieves a stream of the most recent international news articles without needing...
List Regions
Provides a list of all countries or regions you can use to narrow down news coverage.
Search News
Searches the entire archive using advanced keywords or complex boolean logic (AND, OR, NOT).
Security and governance baked right in.
Pick your AI client below to get set up. Just create a Vinkius account, subscribe, and you're instantly up and running. We handle the entire backend infrastructure, delivering out-of-the-box support for HTTPS Streamable, SSE, and OAuth2—zero messy routing required.
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 Currents, then connect any of our 5,100+ other servers whenever your AI needs more. One click, no limits.
- Use this MCP plus 5,100+ 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
Independent Platform Disclaimer: Vinkius is an independent platform and is not affiliated with, endorsed by, sponsored by, verified by, or otherwise authorized by Currents. 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 connection provides 6 powerful capabilities that interface natively with Claude, ChatGPT, Cursor, and other compatible AI platforms. No middleware. No custom integration required.
Finding specific facts across dozens of sources is tedious today.
Right now, if you want to know what the tech sector in Seoul was doing last week relative to regulations in London, you open a browser. You hit Google News for Seoul. Then you switch tabs and search global news sites for London. You have to copy data from one source and paste it into another spreadsheet just to start comparing. It’s time-consuming, prone to missing key details, and requires juggling half a dozen tabs.
With this MCP, your agent handles the whole thing. You tell it: 'Compare tech news on regulations in Seoul vs. London for Q3.' Your agent uses its tools to pull data from both feeds simultaneously, structuring the comparison for you. You get an immediate, cross-referenced summary ready to use.
The Currents MCP gives you controlled access to global news.
Manual processes force you to rely on simple keyword searches and broad category filtering. You can't easily compare a specific country's economic data against its local media coverage, nor can you limit the search to only articles from major domain sources like reuters.com.
This MCP fixes that by giving your agent granular control. By using tools like `list_regions` and `search_news`, you define boundaries for your query—you specify 'Korea' AND 'Business' AND 'last 30 days.' It’s precise, reliable filtering on a global scale.
What your AI can actually do with this
Need to know what's happening right now? This connector gives your AI agent direct access to current global media feeds. Instead of running complicated web queries, your agent streams the latest international news as it breaks—no manual filtering needed.
It lets you go deep into archives that hold millions of historical articles. You can narrow down results by country, language, or specific source domain like reuters.com. Want to search for 'AI regulations' AND 'semiconductors'? Your agent handles the complex boolean logic. This capability connects directly to the Vinkius Marketplace, meaning you connect once from any compatible client and get access to this massive data stream.
It’s built for people who need facts fast: market analysts tracking competitor mentions, or researchers needing verifiable data points across different time zones. You just talk to your agent about what you want to know, and it handles the rest.
019e5d0f-0ed9-73b5-bc7f-6a8ebeeac2a2 Here's how it actually works
The bottom line is you tell your AI what data you want; it pulls it from global feeds automatically.
Subscribe to the Currents MCP and enter your API key.
Direct your AI client to run a query using natural language instructions (e.g., 'Show me tech news from Japan').
Your agent processes the request, filters the massive dataset, and returns the relevant headlines and article summaries.
Who is this actually for?
This MCP is built for professionals who need verifiable, real-time information to make high-stakes decisions. If your job involves tracking industry trends, fact-checking claims across borders, or monitoring competitor activity, you'll want this. It’s for the person tired of relying on limited RSS feeds or manual Google searches.
Tracks global industry trends and monitors specific competitor mentions across different regions in real time.
Performs deep, targeted searches across millions of archived articles to find niche data points or historical context.
Finds immediate inspiration and verifies facts by cross-referencing global news sources instantly.
What Changes When You Connect
Real-time updates eliminate guesswork. Use get_latest_news to stream breaking international stories as they happen, giving you immediate awareness of market shifts.
Advanced searching lets you write complex queries like 'AI AND China NOT regulation'. The search_news tool handles the logic so you don't have to build complicated filters.
Metadata discovery saves time. Before building a query, use list_languages, list_regions, and list_categories to know exactly what data is available in the system.
Comprehensive coverage means you never miss context. You can filter results by specific domains or sources, giving your research an authoritative edge.
The entire process is abstracted. Instead of dealing with API calls for every country or language, your agent handles the complexity across all global inputs.
See it in action
Tracking a competitor's product launch
A market analyst needs to know if Competitor X is mentioning their new phone model anywhere outside of the US. They ask their agent to search_news for 'Competitor X AND Phone Model Z' across multiple regions, instantly compiling a global view.
Fact-checking historical claims
A researcher needs data on climate policy from the last decade. They use the agent to search_news with specific dates and keywords, going far beyond what standard Google searches can retrieve.
Creating a daily news brief
A content creator wants the top five stories in global technology for a newsletter. They ask their agent to get_latest_news filtered by 'Technology' and then summarize the results, saving hours of manual reading.
The honest tradeoffs
Treating this like a simple search engine
A user might try to query for general topics across all time periods using only keywords and hope they get everything. This misses context, region, or language.
Always start by confirming your scope. Use list_languages and list_regions first. Then, combine those filters with a targeted search via search_news. Don't assume the data is available.
Trying to build a custom filter chain
Attempting to manually connect multiple APIs (e.g., one for business news, another for sports) and stitch them together in an external script.
Let your agent handle the orchestration. Use the defined tools like list_categories to see everything available, then ask your agent to pull all relevant streams using a single command.
Assuming data is always fresh
Running an old query and assuming it reflects current events without checking authentication or live feeds.
Always check the connection status first. Use check_auth to confirm your key works, then run a live stream using get_latest_news to ensure you are getting real-time data.
When It Fits, When It Doesn't
Use this MCP if your core need is deep, verifiable information retrieval across diverse global sources. If you're analyzing trends, doing competitive intelligence, or fact-checking historical claims, this is what you need.
Don't use it if you just want casual reading or basic search results. If a simple Google search for 'best restaurants near me' will solve the problem, don't bother connecting this MCP. You wouldn't use a complex database tool for something that needs a map API; likewise, don't use global news tools for local consumer data.
Questions you might have
How does the Currents MCP handle advanced searching? +
It uses boolean logic via the search_news tool. You can ask for articles that mention 'AI' AND ('regulation' OR 'ethics') to get a highly specific, filtered result set.
Can I see what languages are supported by Currents MCP? +
Yes. Use the list_languages tool first. This gives you a definitive list of available language codes so your agent can accurately filter international news feeds for you.
Is getting the latest news reliable with Currents MCP? +
The get_latest_news tool provides real-time streaming capabilities. This means you get articles as they break, not hours later when a feed updates overnight.
What is the difference between listing categories and searching news with Currents MCP? +
Listing categories (list_categories) just shows you what types of news exist (like 'Sports' or 'Tech'). Searching actually uses those categories to pull articles from the archive.
How do I verify my connection using the `check_auth` tool? +
The check_auth tool immediately verifies your API key status. A successful return confirms that your agent can access global data; if it fails, you know you need to re-enter or update your credentials.
Does the `list_regions` tool help me filter news by country? +
Yes, it provides a comprehensive list of all supported countries and regions. You can use this list directly within subsequent searches to narrow down results geographically for pinpoint accuracy.
If I need multiple criteria, how do I structure my query using the `search_news` tool? +
You build complex queries by embedding keywords and standard boolean operators like AND, OR, or NOT. This lets you combine specific concepts, for instance finding articles about 'space' AND 'policy'.
How do I get older or more results using the `search_news` tool? +
You must handle deep pagination by passing page numbers or cursor-based parameters. This mechanism allows your agent to reliably retrieve large sets of historical articles without hitting data limits.
How do I find the latest news without specific keywords? +
Use the get_latest_news tool. It provides a real-time stream of international news. You can optionally filter by language, country, or category to narrow down the stream.
Can I search for articles using complex logic like AND/OR? +
Yes! Use the search_news tool and provide your logic in the query parameter. This allows you to use boolean syntax to find exactly what you need across millions of articles.
How do I know which country codes or categories are supported? +
You can use the list_regions tool to see all supported 2-letter country codes and the list_categories tool to see the canonical list of news categories available for filtering.
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