ElevenLabs MCP Server for Vercel AI SDKGive Vercel AI SDK instant access to 12 tools to Delete History Item, Delete Voice, Get Account Info, and more
The Vercel AI SDK is the TypeScript toolkit for building AI-powered applications. Connect ElevenLabs 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 ElevenLabs app connector for Vercel AI SDK is a standout in the Ai Frontier category — giving your AI agent 12 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 ElevenLabs, 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 ElevenLabs MCP Server
Connect your ElevenLabs account to any AI agent and take full control of your neural audio synthesis and voice management workflows through natural conversation.
The Vercel AI SDK gives every ElevenLabs tool full TypeScript type inference, IDE autocomplete, and compile-time error checking. Connect 12 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 Orchestration — Convert text to high-fidelity audio programmatically using the world's most advanced lifelike AI voices
- Voice Intelligence — Access your complete voice library, including standard, community, and custom cloned voices to maintain high-fidelity branding
- History Tracking — Programmatically retrieve and manage your audio generation history, including direct download links for all past creations
- Model Selection — Explore and select from multiple neural audio models (including Multilingual v2) to ensure the perfect tone and stability for your content
- Administrative Visibility — Monitor your character usage, subscription limits, and account metadata directly through your agent for instant reporting
The ElevenLabs MCP Server exposes 12 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 12 ElevenLabs tools available for Vercel AI SDK
When Vercel AI SDK connects to ElevenLabs through Vinkius, your AI agent gets direct access to every tool listed below — spanning elevenlabs, text-to-speech, voice-cloning, 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 audio record
Delete a cloned voice
Get user profile
Get audio download URL
Get history item details
Get usage and plan info
Get voice details
Get voice fine-tuning
List generated audio logs
List AI audio models
List all available voices
Convert text to audio
Connect ElevenLabs to Vercel AI SDK via MCP
Follow these steps to wire ElevenLabs 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 ElevenLabs MCP Server
Vercel AI SDK provides unique advantages when paired with ElevenLabs 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 ElevenLabs integration everywhere
Built-in streaming UI primitives let you display ElevenLabs 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
ElevenLabs + Vercel AI SDK Use Cases
Practical scenarios where Vercel AI SDK combined with the ElevenLabs MCP Server delivers measurable value.
AI-powered web apps: build dashboards that query ElevenLabs in real-time and stream results to the UI with zero loading states
API backends: create serverless endpoints that orchestrate ElevenLabs tools and return structured JSON responses to any frontend
Chatbots with tool use: embed ElevenLabs capabilities into conversational interfaces with streaming responses and tool call visibility
Internal tools: build admin panels where team members interact with ElevenLabs through natural language queries
Example Prompts for ElevenLabs in Vercel AI SDK
Ready-to-use prompts you can give your Vercel AI SDK agent to start working with ElevenLabs immediately.
"Convert this text to speech using 'Bella' voice: 'Welcome to the world of neural audio'."
"List all my available voices in ElevenLabs."
"Check my remaining character limits for this month."
Troubleshooting ElevenLabs MCP Server with Vercel AI SDK
Common issues when connecting ElevenLabs to Vercel AI SDK through the Vinkius, and how to resolve them.
createMCPClient is not a function
npm install @ai-sdk/mcpElevenLabs + Vercel AI SDK FAQ
Common questions about integrating ElevenLabs 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.