How to Use the NewsCatcher MCP in Mastra AI

Q: How do I add NewsCatcher to Mastra AI?

Install @mastra/mcp@latest. Create a new MCPClient instance with your server URL, then spread mcpClient.listTools() into your agent's tools array.

Q: How do I pull grouped articles using the NewsCatcher MCP Server?

Trigger the getnewsclusters tool. It returns structured groups of related stories, which your workflow can process as a single batch.

Build resilient news tracking workflows with Mastra AI and the NewsCatcher integration.

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Connect NewsCatcher MCP to Mastra AI

Create your Vinkius account to connect NewsCatcher 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 NewsCatcher with Mastra AI

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Track topics with Mastra AI

The `get_latest_news` tool pulls the most recent coverage for specific keywords or domains. Your Mastra workflow triggers this tool on a schedule to monitor breaking events across regions like the US. If an API rate limit hits, Mastra automatically catches the failure. Its built-in exponential backoff pauses the agent and retries the fetch later, preventing pipeline crashes.

Process clustered news feeds

The `get_news_clusters` tool hands your agent pre-grouped stories instead of raw, duplicated articles. This cuts down the token count your workflow needs to parse. You set up conditional branches based on these clusters. If a cluster contains more than fifty articles, the workflow routes it to a priority alert channel.

Validate sources before extraction

The `list_sources` tool filters the available media outlets by country and language. Your agent runs this first to build a strict allowlist of domains. Once verified, the workflow passes those domains into the `search_news` tool. This guarantees your downstream processes only ingest information from outlets you explicitly trust.

Setup guide

Set up NewsCatcher 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 NewsCatcher 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: "newscatcher-mcp-client",
  servers: {
    "newscatcher-mcp": {
      url: new URL(
        "https://edge.vinkius.com/[YOUR_TOKEN_HERE]/mcp"
      ),
    },
  },
});

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

const result = await agent.generate(
  "List recent NewsCatcher 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 NewsCatcher. 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 NewsCatcher MCP in Mastra AI

Install `@mastra/mcp@latest`. Create a new `MCPClient` instance with your server URL, then spread `mcpClient.listTools()` into your agent's tools array.

Yes. The framework handles transport errors natively. If a network drop interrupts a fetch, the agent waits and tries again based on your backoff settings.

Trigger the `get_news_clusters` tool. It returns structured groups of related stories, which your workflow can process as a single batch.

No. Mastra auto-detects whether the server uses Streamable HTTP or SSE and configures the connection for you.

The server processes your specific search terms, target languages, and country filters. We operate the MCP integration on ephemeral infrastructure with zero-trust architecture, meaning your query parameters vanish the moment the connection closes.

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