AssemblyAI MCP Server for Vercel AI SDKGive Vercel AI SDK instant access to 9 tools to Delete Transcript, Get Chapters, Get Sentiments, and more
The Vercel AI SDK is the TypeScript toolkit for building AI-powered applications. Connect AssemblyAI 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 AssemblyAI app connector for Vercel AI SDK is a standout in the Ai Frontier category — giving your AI agent 9 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 AssemblyAI, 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 AssemblyAI MCP Server
Connect your AssemblyAI account to any AI agent and take full control of your high-fidelity audio transcription and speech intelligence workflows through natural conversation.
The Vercel AI SDK gives every AssemblyAI tool full TypeScript type inference, IDE autocomplete, and compile-time error checking. Connect 9 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
- Speech-to-Text Orchestration — Programmatically transcribe public audio or video URLs using state-of-the-art MARS models with superhuman accuracy
- Audio Intelligence — Extract high-fidelity insights including automated summaries, sentiment analysis, and topic detection directly through your agent
- Speaker Diarization Architecture — Retrieve detailed utterances separated by speaker labels to coordinate meeting minutes and interview transcripts perfectly
- Content Discovery — Access automated chapters and high-fidelity video recaps to maintain a perfectly coordinated media library
- Lifecycle Management — Monitor transcription job status and manage your directory of recent transcripts directly through your agent for instant reporting
The AssemblyAI MCP Server exposes 9 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 9 AssemblyAI tools available for Vercel AI SDK
When Vercel AI SDK connects to AssemblyAI through Vinkius, your AI agent gets direct access to every tool listed below — spanning speech-to-text, transcription, audio-intelligence, 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.
Delete a transcript
Get auto-chapters
Get sentiment analysis
Get speaker labels
Get auto-summary
Get topic detection
Get transcript status/result
List recent transcripts
Transcribe audio URL
Connect AssemblyAI to Vercel AI SDK via MCP
Follow these steps to wire AssemblyAI 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 AssemblyAI MCP Server
Vercel AI SDK provides unique advantages when paired with AssemblyAI 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 AssemblyAI integration everywhere
Built-in streaming UI primitives let you display AssemblyAI 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
AssemblyAI + Vercel AI SDK Use Cases
Practical scenarios where Vercel AI SDK combined with the AssemblyAI MCP Server delivers measurable value.
AI-powered web apps: build dashboards that query AssemblyAI in real-time and stream results to the UI with zero loading states
API backends: create serverless endpoints that orchestrate AssemblyAI tools and return structured JSON responses to any frontend
Chatbots with tool use: embed AssemblyAI capabilities into conversational interfaces with streaming responses and tool call visibility
Internal tools: build admin panels where team members interact with AssemblyAI through natural language queries
Example Prompts for AssemblyAI in Vercel AI SDK
Ready-to-use prompts you can give your Vercel AI SDK agent to start working with AssemblyAI immediately.
"Transcribe this podcast URL: 'https://example.com/audio.mp3' and enable speaker diarization."
"Show my 5 most recent transcription jobs."
"Get the sentiment analysis for transcript 'tr_123'."
Troubleshooting AssemblyAI MCP Server with Vercel AI SDK
Common issues when connecting AssemblyAI to Vercel AI SDK through the Vinkius, and how to resolve them.
createMCPClient is not a function
npm install @ai-sdk/mcpAssemblyAI + Vercel AI SDK FAQ
Common questions about integrating AssemblyAI 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.