How to Use the Megaphone MCP in Mastra AI

Q: How do I register the Megaphone tools within a Mastra AI agent?

You instantiate the MCPClient with the server URL and pass the tools directly into your agent's tool configuration array. This allows the Mastra AI agent to call endpoints like listnetworks whenever it needs to map your organizational structure.

Q: How do I require approval for sensitive Megaphone actions in Mastra AI?

You set the requireToolApproval flag on sensitive tools like listorders. This pauses the Mastra AI workflow and waits for a human operator to verify the request before accessing financial campaign details.

Q: What tools does this MCP Server provide for searching content?

The server exposes searchepisodes to let your workflows find specific audio files. It also includes getnetworkdetails to help your agent understand the layout of your entire network before running deep searches.

Build reliable, self-healing ad ops workflows with Mastra AI and the Megaphone integration.

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Connect Megaphone MCP to Mastra AI

Create your Vinkius account to connect Megaphone 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 Megaphone with Mastra AI

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Automate campaign auditing with Mastra AI workflows

Ad operations cannot afford silent failures when checking inventory. Mastra AI uses its built-in workflow engine to run multi-step checks across your networks. The agent triggers `list_campaigns` and `list_orders` to verify that active campaigns match your booked inventory, retrying automatically if the endpoint rate limits you. If a discrepancy pops up, the system branches the workflow to alert your team. You get a reliable, hands-off auditing pipeline that keeps your ad delivery accurate without constant babysitting.

Programmatic podcast feed validation

Feeds break, and metadata gets misaligned. This MCP Server lets your Mastra agents monitor feed health by systematically checking show structures. The agent calls `list_podcasts` to get the roster, then runs `get_podcast` on each item to check for missing fields or bad configurations. Because Mastra supports human-in-the-loop approvals, you can set the system to flag questionable feeds for manual review before taking action. It gives you programmatic control over your catalog without losing human oversight.

Multi-step episode publishing checks

Managing large-scale audio releases requires precise timing and accurate ad placement. By connecting this MCP Server to your Mastra agents, they can execute complex dependency chains, like fetching an episode with `get_episode` and immediately verifying its mid-roll markers using `list_ad_locations`. This integration ensures that no episode goes live without its monetization structure intact. If the ad locations are missing, Mastra triggers a fallback workflow to pause the release and notify your team.

Setup guide

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

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

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

You instantiate the `MCPClient` with the server URL and pass the tools directly into your agent's tool configuration array. This allows the Mastra AI agent to call endpoints like `list_networks` whenever it needs to map your organizational structure.

Yes, Mastra has built-in retry logic with exponential backoff. If the server hits a rate limit while running `list_episodes` across hundreds of shows, the workflow engine automatically pauses and retries the request.

You set the `requireToolApproval` flag on sensitive tools like `list_orders`. This pauses the Mastra AI workflow and waits for a human operator to verify the request before accessing financial campaign details.

The server exposes `search_episodes` to let your workflows find specific audio files. It also includes `get_network_details` to help your agent understand the layout of your entire network before running deep searches.

Your ad campaign structures and network configurations are processed entirely within your self-hosted Mastra environment. This MCP setup ensures that sensitive campaign details retrieved by `list_campaigns` are never exposed to external telemetry services.

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