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How to Use the Newslit MCP in Mastra AI

Build resilient media monitoring pipelines with Mastra AI agents that handle news API failures automatically.

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Works with every AI agent you already use

…and any MCP-compatible client

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Mastra AI

Connect Newslit MCP to Mastra AI

Create your Vinkius account to connect Newslit 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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Build resilient monitoring flows with Mastra AI

The `list_stories` tool retrieves fresh press mentions within automated workflows that handle network drops gracefully. Mastra AI wraps this tool in its execution engine, retrying the query if the underlying media index experiences temporary downtime. The MCP connection ensures the payload structure remains consistent. PR teams get uninterrupted coverage tracking because the workflow handles rate limits and API hiccups behind the scenes. The agent continues gathering intelligence without manual intervention. It's a hands-off approach to tracking brand reputation.

Automate conditional report cleanup

The `delete_report` tool removes outdated media tracking files when an agent determines a PR campaign has ended. You write conditional branches in your workflow to evaluate report age before triggering this cleanup. The MCP Server executes the deletion securely once the conditions are met. This automation keeps your workspace clean of dead tracking configurations. The agent runs the check daily, purging old files while keeping active campaigns untouched. You don't have to worry about manual database maintenance.

Maintain accurate media reports with automated updates

The `update_report` tool modifies tracking keywords whenever your brand strategy shifts. Mastra AI executes this tool as part of a multi-step workflow that triggers whenever marketing updates the master keyword database. The MCP protocol passes the new parameters to the server instantly. This ensures your press tracking parameters stay aligned with your active campaigns. The agent handles the updates across all active reports without requiring developer time. It keeps your reporting accurate without manual editing.

Setup guide

Set up Newslit 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. 1

    Install dependencies

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

  2. 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. 3

    Discover and inject tools

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

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

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

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

Independent Platform Disclaimer: Vinkius is an independent platform and is not affiliated with, endorsed by, sponsored by, verified by, or otherwise authorized by Newslit. 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.

Why Choose Vinkius

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Real-time monitoring

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visibility into every interaction

Connect your favorite tools to your AI and see exactly what's happening — every request, every response, in real time.

Built-in savings

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lower AI costs

Vinkius compresses data between your apps and your AI automatically. Lower bills every month — no configuration required.

Single dashboard

One

place for every integration

Every tool your AI connects to, managed from a single screen. One account, complete control.

Common questions about Newslit MCP in Mastra AI

You initialize the MCP client and register it with your Mastra instance. The agent automatically discovers tools like `list_reports` and uses them inside its decision-making loops.
Yes, you can branch your workflows based on media coverage. For example, use `get_report` to check coverage volume, and if it exceeds a threshold, trigger an escalation workflow.
The workflow engine has built-in exponential backoff. If `create_report` fails due to an API timeout, the agent retries the call automatically before throwing an error.
Yes, you can configure the framework to require manual approval before running destructive actions. An operator must confirm the action before the agent executes the call to delete a report.
All communications pass through a zero-trust network managed by Vinkius. Your news reports and active monitoring parameters remain encrypted in transit, isolated from other server runtimes.

Start using the Newslit MCP today

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