Hiro.fm MCP Server for Vercel AI SDKGive Vercel AI SDK instant access to 10 tools to Add Audio, Create Contact, Get Contact, and more
The Vercel AI SDK is the TypeScript toolkit for building AI-powered applications. Connect Hiro.fm through Vinkius and every tool is available as a typed function. ready for React Server Components, API routes, or any Node.js backend.
Ask AI about this App Connector for Vercel AI SDK
The Hiro.fm app connector for Vercel AI SDK is a standout in the Marketing Automation category — giving your AI agent 10 tools to work with, ready to go from day one.
Vinkius delivers Streamable HTTP and SSE to any MCP client
import { createMCPClient } from "@ai-sdk/mcp";
import { generateText } from "ai";
import { openai } from "@ai-sdk/openai";
async function main() {
const mcpClient = await createMCPClient({
transport: {
type: "http",
// Your Vinkius token. get it at cloud.vinkius.com
url: "https://edge.vinkius.com/[YOUR_TOKEN_HERE]/mcp",
},
});
try {
const tools = await mcpClient.tools();
const { text } = await generateText({
model: openai("gpt-4o"),
tools,
prompt: "Using Hiro.fm, list all available capabilities.",
});
console.log(text);
} finally {
await mcpClient.close();
}
}
main();
* Every MCP server runs on Vinkius-managed infrastructure inside AWS - a purpose-built runtime with per-request V8 isolates, Ed25519 signed audit chains, and sub-40ms cold starts optimized for native MCP execution. See our infrastructure
About Hiro.fm MCP Server
Connect your Hiro.fm creator account to any AI agent and take full control of your private podcasting workflows through natural conversation.
The Vercel AI SDK gives every Hiro.fm tool full TypeScript type inference, IDE autocomplete, and compile-time error checking. Connect 10 tools through Vinkius and stream results progressively to React, Svelte, or Vue components. works on Edge Functions, Cloudflare Workers, and any Node.js runtime.
What you can do
- Listener Management — Create new contacts and manage your listener database with direct access to profiles and metadata
- Access Control — Programmatically grant or revoke access to specific private shows for any contact in your database
- Content Automation — Add new audio episodes to your shows by providing titles and direct media URLs directly through your agent
- Show Monitoring — List all your private podcast shows and retrieve detailed metadata including subscriber counts and IDs
- Tagging & Segmentation — Manage contact tags to organize your audience for targeted content delivery and automation
The Hiro.fm MCP Server exposes 10 tools through the Vinkius. Connect it to Vercel AI SDK in under two minutes — no API keys to rotate, no infrastructure to provision, no vendor lock-in. Your configuration, your data, your control.
All 10 Hiro.fm tools available for Vercel AI SDK
When Vercel AI SDK connects to Hiro.fm through Vinkius, your AI agent gets direct access to every tool listed below — spanning podcasting, audio-content, creator-economy, and more. Every call is secured with network, filesystem, subprocess, and code evaluation entitlements inside a sandboxed runtime. Beyond a simple connection, you get a full AI Gateway with real-time visibility into agent activity, enterprise governance, and optimized token usage.
Add a new audio episode
Create a new contact
Get contact details
Get show details
Grant access to a show
List audio episodes for a show
fm account. List all contacts (listeners)
List all podcast shows
List all contact tags
Revoke access from a show
Connect Hiro.fm to Vercel AI SDK via MCP
Follow these steps to wire Hiro.fm into Vercel AI SDK. The entire setup takes under two minutes — your credentials stay safe behind the Vinkius.
Install dependencies
npm install @ai-sdk/mcp ai @ai-sdk/openaiReplace the token
[YOUR_TOKEN_HERE] with your Vinkius tokenRun the script
agent.ts and run with npx tsx agent.tsExplore tools
Why Use Vercel AI SDK with the Hiro.fm MCP Server
Vercel AI SDK provides unique advantages when paired with Hiro.fm through the Model Context Protocol.
TypeScript-first: every MCP tool gets full type inference, IDE autocomplete, and compile-time error checking out of the box
Framework-agnostic core works with Next.js, Nuxt, SvelteKit, or any Node.js runtime. same Hiro.fm integration everywhere
Built-in streaming UI primitives let you display Hiro.fm tool results progressively in React, Svelte, or Vue components
Edge-compatible: the AI SDK runs on Vercel Edge Functions, Cloudflare Workers, and other edge runtimes for minimal latency
Hiro.fm + Vercel AI SDK Use Cases
Practical scenarios where Vercel AI SDK combined with the Hiro.fm MCP Server delivers measurable value.
AI-powered web apps: build dashboards that query Hiro.fm in real-time and stream results to the UI with zero loading states
API backends: create serverless endpoints that orchestrate Hiro.fm tools and return structured JSON responses to any frontend
Chatbots with tool use: embed Hiro.fm capabilities into conversational interfaces with streaming responses and tool call visibility
Internal tools: build admin panels where team members interact with Hiro.fm through natural language queries
Example Prompts for Hiro.fm in Vercel AI SDK
Ready-to-use prompts you can give your Vercel AI SDK agent to start working with Hiro.fm immediately.
"List all my podcast shows from Hiro.fm."
"Grant listener access for 'john@example.com' to the 'Elite Coaching' show."
"Add a new episode titled 'Welcome Session' to my show ID 'sh_1'."
Troubleshooting Hiro.fm MCP Server with Vercel AI SDK
Common issues when connecting Hiro.fm to Vercel AI SDK through the Vinkius, and how to resolve them.
createMCPClient is not a function
npm install @ai-sdk/mcpHiro.fm + Vercel AI SDK FAQ
Common questions about integrating Hiro.fm MCP Server with Vercel AI SDK.
How does the Vercel AI SDK connect to MCP servers?
createMCPClient from @ai-sdk/mcp and pass the server URL. The SDK discovers all tools and provides typed TypeScript interfaces for each one.Can I use MCP tools in Edge Functions?
Does it support streaming tool results?
useChat and streamText that handle tool calls and display results progressively in the UI.