ElevenLabs 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 ElevenLabs through Vinkius and every tool is available as a typed function. ready for React Server Components, API routes, or any Node.js backend.
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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 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 AI audio generation and lifelike speech synthesis through natural conversation.
The Vercel AI SDK gives every ElevenLabs 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
- Speech Synthesis Orchestration — Extract explicit REST maps utilizing text-to-speech endpoints to fire heavy inference pipelines streaming perfect conversational intonation blocks
- Voice Library Navigation — Identify bounded records inside the ElevenLabs platform and pull globally curated standard and cloned voice libraries natively
- Voice Tuning — Perform structural extraction of properties driving human likeness, dissecting precisely Stability and Similarity bounds for active account logic
- Audio Dubbing — Initiate massive video and audio translation queues injecting cross-lingual voice models to automate multi-language content production
- Generation Auditing — Enumerate explicitly attached structured rules exporting active history and mapping literal historic generations across time limits
- Quota Oversight — Validate API logic querying strict character quotas and subscription limits to monitor character consumption and block system overruns
- Vault Security — Identify precise active arrays spanning native gateway auth to retrieve explicit cloud generation logs and manage generated blobs securely
The ElevenLabs 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 ElevenLabs to Vercel AI SDK via MCP
Follow these steps to integrate the ElevenLabs 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 ElevenLabs and passes them to the LLM
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
ElevenLabs MCP Tools for Vercel AI SDK (10)
These 10 tools become available when you connect ElevenLabs to Vercel AI SDK via MCP:
get_history_item
Get history item details
get_subscription
Get subscription details
get_user_info
Get user profile info
get_voice
Get voice details
list_history
List generation history
list_models
List AI speech models
list_projects
List dubbing/voice projects
list_pronunciation_dictionaries
List pronunciation dictionaries
list_voices
List all available voices
text_to_speech
Returns audio metadata. Supports 29+ languages. Convert text to speech audio
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.
"Generate audio for: 'Hello, this is a lifelike AI voice.' using voice 'abc-123'"
"Show me my remaining character quota"
"Dub this video into Spanish: https://example.com/video.mp4"
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.Connect ElevenLabs 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 ElevenLabs to Vercel AI SDK
Get your token, paste the configuration, and start using 10 tools in under 2 minutes. No API key management needed.