How to Use the Mediastack MCP in Mastra AI

Q: Can I use Mediastack to trigger alerts in Mastra AI?

Absolutely. Set up a recurring workflow that calls getnews and check the results against your criteria, triggering a notification if a match occurs.

Q: Does Mastra AI support human-in-the-loop for Mediastack?

Yes, you can enable tool approval for getnews calls. This forces the agent to pause until you verify the query parameters.

Build resilient news-gathering workflows in Mastra AI with automated error handling and retries.

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Connect Mediastack MCP to Mastra AI

Create your Vinkius account to connect Mediastack 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 Mediastack with Mastra AI

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Automated news workflows in Mastra AI

Link `get_news` into your agent's task chain to build complex news-gathering pipelines. Mastra AI manages the execution order, ensuring your agent completes its research step before moving to analysis. If the API fails, the workflow engine handles the retry logic for you. You get a stable loop that keeps running even if a single request flickers.

Target specific publishers with Mastra AI

Run `list_sources` as an initial step in your workflow to define your search scope. This allows your Mastra AI agent to dynamically adjust its focus based on the available outlets. You avoid pulling noise by restricting the search to known, high-quality sources. It makes your agent's output far more precise.

Handle news retrieval errors gracefully

Use the built-in error handling in Mastra AI to manage `get_news` failures. You can define backup paths if the source data is missing or if the API is temporarily unreachable. This keeps your agent from stalling. It just logs the issue, retries, or alerts your team, keeping your automation running without manual intervention.

Setup guide

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

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

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

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Common questions about Mediastack MCP in Mastra AI

Initialize the client in your server config and spread the tools into the agent's toolset. It automatically registers them for your workflows.

Absolutely. Set up a recurring workflow that calls `get_news` and check the results against your criteria, triggering a notification if a match occurs.

Yes, you can enable tool approval for `get_news` calls. This forces the agent to pause until you verify the query parameters.

Implement a counter in your workflow state. If the count hits your limit, the agent stops calling the tool until the next cycle.

The data passes through your local agent memory. It is ephemeral and exists only for the duration of the current execution workflow.

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