How to Use the WorldNewsAPI MCP in Mastra AI

Q: How can Mastra AI use WorldNewsAPI to get top stories?

You define a workflow using gettopworldnews. If the initial call fails, Mastra AI's automatic retry logic attempts the fetch again with different parameters until it succeeds.

Q: Does WorldNewsAPI support complex searching within Mastra AI?

Yes. You can chain searchworldnews calls. For example, you could search for a keyword, and if results are found, run a secondary search on the resulting metadata.

Q: How do I audit news sources with WorldNewsAPI using Mastra AI?

You build an 'audit' flow. You call checkapistatus first; if the status is green, then you proceed to run extraction or search tools, ensuring all prerequisites are met.

Build reliable news pipelines with Mastra AI and WorldNewsAPI workflows.

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Connect WorldNewsAPI MCP to Mastra AI

Create your Vinkius account to connect WorldNewsAPI to Mastra AI and route execution through our secure gateway. The platform manages server hosting, runtime updates, and security layers. Configuration requires no manual server provisioning.

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Setup WorldNewsAPI with Mastra AI

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Execute Multi-Step News Retrieval

Mastra AI's built-in workflow engine makes calling `search_world_news` simple. You define a sequence: first search, then check API status, all within one command. If the initial search fails due to an outage, Mastra AI automatically retries the call with exponential backoff, ensuring your pipeline doesn't break.

Build Complex Content Audits

Use `extract_news_from_url` within a workflow. You can set up conditional branching: *if* the extracted content is less than 200 words, *then* notify an admin; otherwise, proceed with processing. This allows you to build sophisticated data handling that goes far beyond simple API calls.

Manage Top News Fetching Workflows

The `get_top_world_news` tool fits right into a workflow. You can set up an automated process: check the news for Country A; if results exist, save them to a database record. This is ideal for complex monitoring systems that need reliable, scheduled data collection.

Setup guide

Set up WorldNewsAPI MCP in Mastra AI

Prerequisites

Node.js 18+ and a TypeScript project
@mastra/mcp + @mastra/core packages
Active Vinkius subscription with a valid endpoint token

1

Install dependencies
Run npm install @mastra/mcp @mastra/core plus your preferred model provider (e.g. @ai-sdk/openai).
2

Configure the MCPClient
Create an MCPClient with your Vinkius endpoint as a URL object. Replace [YOUR_TOKEN_HERE] with your token from cloud.vinkius.com.
3

Discover and inject tools
Call mcpClient.listTools() and spread the result into your agent's tools object. All WorldNewsAPI tools become native Mastra tools.
4

Run with any model
Swap openai("gpt-4o") for any AI SDK-compatible provider. Call agent.generate() and the agent routes tool calls through MCP automatically.

agent.ts

import { MCPClient } from "@mastra/mcp";
import { Agent } from "@mastra/core/agent";
import { openai } from "@ai-sdk/openai";

const mcpClient = new MCPClient({
  id: "worldnewsapi-mcp-client",
  servers: {
    "worldnewsapi-mcp": {
      url: new URL(
        "https://edge.vinkius.com/[YOUR_TOKEN_HERE]/mcp"
      ),
    },
  },
});

const agent = new Agent({
  name: "WorldNewsAPI Agent",
  model: openai("gpt-4o"),
  instructions: "You have access to WorldNewsAPI tools.",
  tools: {
    ...(await mcpClient.listTools()),
  },
});

const result = await agent.generate(
  "List recent WorldNewsAPI transactions"
);
console.log(result.text);

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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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Common questions about WorldNewsAPI MCP in Mastra AI

You define a workflow using `get_top_world_news`. If the initial call fails, Mastra AI's automatic retry logic attempts the fetch again with different parameters until it succeeds.

Yes. You can chain `search_world_news` calls. For example, you could search for a keyword, and if results are found, run a secondary search on the resulting metadata.

Mastra AI manages retries. If an external issue causes a temporary failure retrieving article content via `extract_news_from_url`, the workflow waits and tries again, preserving your data integrity.

You build an 'audit' flow. You call `check_api_status` first; if the status is green, then you proceed to run extraction or search tools, ensuring all prerequisites are met.

This server touches article content, metadata, keywords, and location identifiers. Your developer builds resilient workflows that handle these different types of structured text data.

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