AssemblyAI MCP Server for Vercel AI SDK 6 tools — connect in under 2 minutes
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 MCP SERVER
Vinkius supports streamable HTTP and SSE.
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
Empower your AI agent to orchestrate your entire audio intelligence and transcription workflow with AssemblyAI, the leading platform for speech-to-text. By connecting AssemblyAI to your agent, you transform complex audio processing into a natural conversation. Your agent can instantly start transcription jobs from any URL, audit transcript results with high confidence, and manage job history without you ever touching a technical console. Whether you are analyzing podcast content or transcribing meetings, your agent acts as a real-time linguistic assistant, ensuring your audio data is always accessible and searchable.
The Vercel AI SDK gives every AssemblyAI tool full TypeScript type inference, IDE autocomplete, and compile-time error checking. Connect 6 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
- Transcription Auditing — Start transcription jobs for any audio or video URL and retrieve cleaned text with speaker labels.
- Linguistic Oversight — Retrieve transcripts broken down by sentences or paragraphs to maintain a structured view of spoken content.
- Status Intelligence — Monitor the progress of long-running transcription jobs to ensure timely data delivery.
- Execution Management — List all past and active transcripts to maintain strict organizational control over your audio assets.
- Confidence Intelligence — Retrieve confidence scores for each transcription to verify the accuracy of your linguistic data.
The AssemblyAI MCP Server exposes 6 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.
How to Connect AssemblyAI to Vercel AI SDK via MCP
Follow these steps to integrate the AssemblyAI MCP Server with Vercel AI SDK.
Install dependencies
Run npm install @ai-sdk/mcp ai @ai-sdk/openai
Replace the token
Replace [YOUR_TOKEN_HERE] with your Vinkius token
Run the script
Save to agent.ts and run with npx tsx agent.ts
Explore tools
The SDK discovers 6 tools from AssemblyAI and passes them to the LLM
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
AssemblyAI MCP Tools for Vercel AI SDK (6)
These 6 tools become available when you connect AssemblyAI to Vercel AI SDK via MCP:
delete_transcript
Delete a transcription record
get_transcript
Get the result of a transcription job
get_transcript_paragraphs
Get the transcript broken down by paragraphs
get_transcript_sentences
Get the transcript broken down by sentences
list_transcripts
List all transcription jobs
transcribe_audio
Start a transcription job for an audio/video URL
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 the audio file at https://example.com/podcast.mp3 using AssemblyAI."
"Show me the result for transcript ID xxxx."
"List all my past AssemblyAI transcripts."
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.Connect AssemblyAI with your favorite client
Step-by-step setup guides for every MCP-compatible client and framework:
Anthropic's native desktop app for Claude with built-in MCP support.
AI-first code editor with integrated LLM-powered coding assistance.
GitHub Copilot in VS Code with Agent mode and MCP support.
Purpose-built IDE for agentic AI coding workflows.
Autonomous AI coding agent that runs inside VS Code.
Anthropic's agentic CLI for terminal-first development.
Python SDK for building production-grade OpenAI agent workflows.
Google's framework for building production AI agents.
Type-safe agent development for Python with first-class MCP support.
TypeScript toolkit for building AI-powered web applications.
TypeScript-native agent framework for modern web stacks.
Python framework for orchestrating collaborative AI agent crews.
Leading Python framework for composable LLM applications.
Data-aware AI agent framework for structured and unstructured sources.
Microsoft's framework for multi-agent collaborative conversations.
Connect AssemblyAI to Vercel AI SDK
Get your token, paste the configuration, and start using 6 tools in under 2 minutes. No API key management needed.