How to Use the Hiro.fm MCP in Vercel AI SDK

Q: How do I connect Hiro.fm to the Vercel AI SDK?

Run npm install ai @ai-sdk/mcp and instantiate the client with your HTTP transport URL. Pass the resulting tools array into your generateText call.

Q: Can the Vercel AI SDK upload new episodes to Hiro.fm?

Yes. You can trigger the addaudio tool through a server-side action. The MCP Server processes the file upload while your frontend updates the user.

Q: How does Hiro.fm handle OAuth with this MCP integration?

You pass your authentication credentials through the authProvider config when setting up the client. The Vercel AI SDK maintains that context for all subsequent tool calls.

Stream private audio feeds directly into your React or Next.js frontends using the Vercel AI SDK.

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Connect Hiro.fm MCP to Vercel AI SDK

Create your Vinkius account to connect Hiro.fm to Vercel AI SDK 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 Vercel AI SDK

Ask AI about this MCP

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Claude

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Vercel AI SDK MCP Server streaming

`list_shows` and `list_audio` fetch your private podcast catalog straight into the user's browser. When someone clicks a feed in your Next.js app, the SDK streams the metadata back instantly. No loading spinners while they wait for the tracklist. You pass the tools into `streamText` and let the language model handle the matching. If a listener asks for a specific episode, the AI grabs it and renders the UI component live.

Onboard listeners from the chat interface

`create_contact` adds a new listener to your Hiro.fm account directly from a conversational prompt. A user types their email into your Svelte app, and the agent fires the tool to register them on the backend. You then chain `grant_access` to immediately open a premium show for that new contact. The edge function executes the tool call and updates the client state in milliseconds.

Manage active subscriptions dynamically

`get_contact` checks a listener's current status before serving them gated content. Your Vue frontend asks the AI client if the user has an active membership, and it checks the tags via `list_tags`. If their payment failed, the agent executes `revoke_access` to pull their permissions. You handle the entire access control loop through standard HTTP transport without writing custom API wrappers.

Setup guide

Set up Hiro.fm MCP in Vercel AI SDK

Prerequisites

Node.js 18+ and a TypeScript project
ai + @modelcontextprotocol/sdk packages
Active Vinkius subscription with a valid endpoint token

1

Install dependencies

Run npm install ai @modelcontextprotocol/sdk plus your preferred model provider (e.g. @ai-sdk/openai).
2

Create the Streamable HTTP transport

Use StreamableHTTPClientTransport with your Vinkius endpoint URL. Replace [YOUR_TOKEN_HERE] with your token from cloud.vinkius.com.
3

Discover and use tools

Call mcpClient.tools() to auto-discover all Hiro.fm tools. Pass them directly to generateText() or streamText() — no manual schema definitions needed.
4

Works with any model provider

Swap openai("gpt-4o") for any AI SDK provider — Anthropic, Google, Mistral. The MCP tools work identically across all supported models.

index.ts

import { experimental_createMCPClient as createMCPClient } from "ai";
import { StreamableHTTPClientTransport } from "@modelcontextprotocol/sdk/client/streamableHttp";
import { generateText } from "ai";
import { openai } from "@ai-sdk/openai";

const transport = new StreamableHTTPClientTransport(
  new URL("https://edge.vinkius.com/[YOUR_TOKEN_HERE]/mcp")
);

const mcpClient = await createMCPClient({ transport });
const tools = await mcpClient.tools();

const { text } = await generateText({
  model: openai("gpt-4o"),
  tools,
  prompt: "List recent Hiro.fm transactions",
});

console.log(text);
await mcpClient.close();

Get your connection token →

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 Vercel AI SDK

Run `npm install ai @ai-sdk/mcp` and instantiate the client with your HTTP transport URL. Pass the resulting tools array into your `generateText` call.

Yes. You can trigger the `add_audio` tool through a server-side action. The MCP Server processes the file upload while your frontend updates the user.

Always close the connection when your edge function finishes. Leaving connections open will drain your serverless execution limits.

You pass your authentication credentials through the `authProvider` config when setting up the client. The Vercel AI SDK maintains that context for all subsequent tool calls.

The MCP Server processes raw email addresses and listener names strictly in memory. The V8 Isolate Sandbox drops the execution context the second the request finishes, leaving zero residual data behind.

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