Transistor.fm MCP Server for Vercel AI SDKGive Vercel AI SDK instant access to 11 tools to Add Subscriber, Create Episode, Delete Episode, and more
The Vercel AI SDK is the TypeScript toolkit for building AI-powered applications. Connect Transistor.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 Transistor.fm app connector for Vercel AI SDK is a standout in the Marketing Automation category — giving your AI agent 11 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 Transistor.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 Transistor.fm MCP Server
Connect your Transistor.fm podcasting account to any AI agent and simplify how you manage your shows, publish new episodes, and grow your audience through natural conversation.
The Vercel AI SDK gives every Transistor.fm tool full TypeScript type inference, IDE autocomplete, and compile-time error checking. Connect 11 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
- Show Management — List all your podcast shows and retrieve detailed metadata, RSS feeds, and configurations.
- Episode Workflow — Create, update, and publish podcast episodes with full control over titles, descriptions, and show notes.
- Content Curation — List and search through your entire episode library for any show to manage your publishing history.
- Private Podcasting — Manage subscribers for your private shows, including adding new email-based members programmatically.
- Lifecycle Control — Delete unwanted episodes or drafts to keep your podcast feed organized.
- Account Visibility — Fetch your profile details and verify account settings directly from the agent.
The Transistor.fm MCP Server exposes 11 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 11 Transistor.fm tools available for Vercel AI SDK
When Vercel AI SDK connects to Transistor.fm through Vinkius, your AI agent gets direct access to every tool listed below — spanning podcast-hosting, rss-feeds, podcast-analytics, 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 subscriber to a private podcast
Create a new episode
Delete an episode
fm account. Get account details
Get details for an episode
Get details for a specific show
List episodes for a show
List all podcast shows
List private podcast subscribers
Publish an episode
Update an existing episode
Connect Transistor.fm to Vercel AI SDK via MCP
Follow these steps to wire Transistor.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 Transistor.fm MCP Server
Vercel AI SDK provides unique advantages when paired with Transistor.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 Transistor.fm integration everywhere
Built-in streaming UI primitives let you display Transistor.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
Transistor.fm + Vercel AI SDK Use Cases
Practical scenarios where Vercel AI SDK combined with the Transistor.fm MCP Server delivers measurable value.
AI-powered web apps: build dashboards that query Transistor.fm in real-time and stream results to the UI with zero loading states
API backends: create serverless endpoints that orchestrate Transistor.fm tools and return structured JSON responses to any frontend
Chatbots with tool use: embed Transistor.fm capabilities into conversational interfaces with streaming responses and tool call visibility
Internal tools: build admin panels where team members interact with Transistor.fm through natural language queries
Example Prompts for Transistor.fm in Vercel AI SDK
Ready-to-use prompts you can give your Vercel AI SDK agent to start working with Transistor.fm immediately.
"List all my podcast shows in Transistor.fm."
"Show me the last 3 episodes for 'The AI Revolution'."
"Add 'jane.doe@example.com' as a subscriber to show 'show_10293'."
Troubleshooting Transistor.fm MCP Server with Vercel AI SDK
Common issues when connecting Transistor.fm to Vercel AI SDK through the Vinkius, and how to resolve them.
createMCPClient is not a function
npm install @ai-sdk/mcpTransistor.fm + Vercel AI SDK FAQ
Common questions about integrating Transistor.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.