AudioStack MCP Server for Vercel AI SDK 10 tools — connect in under 2 minutes
The Vercel AI SDK is the TypeScript toolkit for building AI-powered applications. Connect AudioStack 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 AudioStack, 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 AudioStack MCP Server
Connect your AudioStack account to any AI agent and build a complete AI-driven audio production studio through natural conversation.
The Vercel AI SDK gives every AudioStack 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
- Professional Speech — Generate high-quality speech using a library of over 700 synthetic voices in dozens of languages
- Audioforms — Create complex audio productions (voice, music, and effects) using a single JSON descriptive structure
- Automated Mastering — Apply professional-grade mixing and mastering to your audio files automatically
- Asset Management — Search for voices, manage sound templates, and organize your media library directly
The AudioStack 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.
How to Connect AudioStack to Vercel AI SDK via MCP
Follow these steps to integrate the AudioStack 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 10 tools from AudioStack and passes them to the LLM
Why Use Vercel AI SDK with the AudioStack MCP Server
Vercel AI SDK provides unique advantages when paired with AudioStack 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 AudioStack integration everywhere
Built-in streaming UI primitives let you display AudioStack 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
AudioStack + Vercel AI SDK Use Cases
Practical scenarios where Vercel AI SDK combined with the AudioStack MCP Server delivers measurable value.
AI-powered web apps: build dashboards that query AudioStack in real-time and stream results to the UI with zero loading states
API backends: create serverless endpoints that orchestrate AudioStack tools and return structured JSON responses to any frontend
Chatbots with tool use: embed AudioStack capabilities into conversational interfaces with streaming responses and tool call visibility
Internal tools: build admin panels where team members interact with AudioStack through natural language queries
AudioStack MCP Tools for Vercel AI SDK (10)
These 10 tools become available when you connect AudioStack to Vercel AI SDK via MCP:
create_audioform
Create a fully mixed audio production (Audioform)
create_mix
Automate mixing and mastering of audio tracks
create_story
Create a long-form audio story
get_audioform
Get the status and final URL of an Audioform
get_usage_analytics
Get account usage metrics
get_voice_details
Get detailed information for a specific voice
list_media_files
List your uploaded and generated media files
list_sound_templates
List available music and sound design templates
list_voices
You can filter by language, gender, or provider. List and search for available AI voices
text_to_speech
Generate speech from text using an AI voice
Example Prompts for AudioStack in Vercel AI SDK
Ready-to-use prompts you can give your Vercel AI SDK agent to start working with AudioStack immediately.
"Search for professional male voices in Portuguese."
"Convert this text to speech using voice 'v123': 'Hello, welcome to our AI audio studio.'"
"Show me all sound templates related to 'Electronic Music'."
Troubleshooting AudioStack MCP Server with Vercel AI SDK
Common issues when connecting AudioStack to Vercel AI SDK through the Vinkius, and how to resolve them.
createMCPClient is not a function
npm install @ai-sdk/mcpAudioStack + Vercel AI SDK FAQ
Common questions about integrating AudioStack 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 AudioStack 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 AudioStack to Vercel AI SDK
Get your token, paste the configuration, and start using 10 tools in under 2 minutes. No API key management needed.