How to Use the Hiro.fm MCP in Mastra AI

Q: How do I register Hiro.fm inside Mastra AI?

Install @mastra/mcp and pass the server URL into your MCPClient configuration. Mastra auto-detects whether you are using SSE or Streamable HTTP.

Build resilient workflows that distribute Hiro.fm audio automatically using Mastra AI.

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Connect Hiro.fm MCP to Mastra AI

Create your Vinkius account to connect Hiro.fm 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 Hiro.fm with Mastra AI

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Hiro.fm MCP Server workflow automation

`add_audio` pushes new tracks to your private feed as part of a larger publishing pipeline. Mastra AI detects a new file in your storage bucket, triggers the upload via this integration, and handles any network timeouts automatically. If the upload fails, the framework's built-in engine applies exponential backoff and tries again. You don't have to write custom retry logic for dropping massive MP3s onto the platform.

Conditional listener onboarding

`create_contact` registers a new user only after your billing step clears. You set up a Mastra AI workflow that waits for a Stripe webhook, creates the listener, and then checks their profile with `get_contact`. Next, the workflow branches. If they bought the premium tier, the agent fires `grant_access` for the main feed. If they bought the basic tier, it assigns specific labels using `list_tags`.

Human-in-the-loop feed management

`revoke_access` removes a listener's ability to hear a show. Because cutting off a paying customer is risky, you can wrap this tool in Mastra's `requireToolApproval` setting. The workflow pauses and pings an admin on Slack before executing the final cut-off. Once a human clicks approve, the agent proceeds with the removal and audits the remaining audience via `list_contacts`.

Setup guide

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

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

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

Install `@mastra/mcp` and pass the server URL into your `MCPClient` configuration. Mastra auto-detects whether you are using SSE or Streamable HTTP.

Yes. You can spread the results of your tool list into your agent configuration. The framework will naturally run contact creation and access grants in sequence.

The workflow engine automatically retries failed calls. If an MP3 transfer drops mid-flight, it backs off and attempts the upload again.

You configure the workflow steps with built-in delays. This prevents your agent from spamming the API when looping through a massive contact list.

The infrastructure handles private show IDs and subscriber email addresses in an ephemeral environment. Every request runs inside a zero-trust sandbox that terminates immediately, meaning nothing writes to disk.

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