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Resemble AI MCP Server for Vercel AI SDKGive Vercel AI SDK instant access to 16 tools to Add Watermark, Create Clip, Create Project, and more

MCP Inspector GDPR Free for Subscribers

The Vercel AI SDK is the TypeScript toolkit for building AI-powered applications. Connect Resemble AI 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 for Vercel AI SDK

The Resemble AI MCP Server for Vercel AI SDK is a standout in the Image Video category — giving your AI agent 16 tools to work with, ready to go from day one.

Built for AI Agents by Vinkius

Vinkius delivers Streamable HTTP and SSE to any MCP client

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+ other MCP clients
typescript
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 Resemble AI, list all available capabilities.",
    });
    console.log(text);
  } finally {
    await mcpClient.close();
  }
}

main();
Resemble AI
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Stream every event to Splunk, Datadog, or your own webhook in real-time

* 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 Resemble AI MCP Server

Connect your Resemble AI account to any AI agent to generate, manage, and protect high-fidelity synthetic speech through natural conversation.

The Vercel AI SDK gives every Resemble AI tool full TypeScript type inference, IDE autocomplete, and compile-time error checking. Connect 16 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

  • Voice Synthesis — Create high-quality audio clips from text using custom or system voices with full SSML support.
  • Speech-to-Speech — Transform source audio into a target voice while preserving the original emotion, intonation, and timing.
  • Project Organization — List, create, and manage projects to keep your audio assets and clips organized.
  • Voice Management — List available voices, create new custom voice profiles, and manage training recordings.
  • AI Safety & Security — Detect deepfakes in audio files and apply or verify digital watermarks to ensure content authenticity.

The Resemble AI MCP Server exposes 16 tools through the Vinkius. Connect it to Vercel AI SDK in under two minutes — credentials fully managed, no infrastructure to provision, no vendor lock-in. Your configuration, your data, your control.

All 16 Resemble AI tools available for Vercel AI SDK

When Vercel AI SDK connects to Resemble AI through Vinkius, your AI agent gets direct access to every tool listed below — spanning voice-cloning, text-to-speech, synthetic-media, and more. Every call runs in a secure, isolated environment with full audit visibility. Beyond a simple connection, you get real-time monitoring of agent activity, enterprise governance, and optimized token usage.

add

Add watermark on Resemble AI

Apply an imperceptible watermark to an audio file

create

Create clip on Resemble AI

Supports SSML. Create a new clip (Text-to-Speech)

create

Create project on Resemble AI

Create a new project

create

Create recording on Resemble AI

Upload an audio recording to train a voice

create

Create voice on Resemble AI

Create a new custom voice

delete

Delete voice on Resemble AI

Delete a custom voice

detect

Detect deepfake on Resemble AI

Verify if an audio clip is real or AI-generated

get

Get clip on Resemble AI

Get a specific clip

get

Get voice on Resemble AI

Get details of a specific voice

list

List clips on Resemble AI

List clips in a project

list

List projects on Resemble AI

List all projects

list

List recordings on Resemble AI

List recordings for a voice

list

List voices on Resemble AI

List all custom and system voices

speech

Speech to speech on Resemble AI

Transform an input audio file into a target voice (STS)

update

Update clip on Resemble AI

Update an existing clip

verify

Verify watermark on Resemble AI

Verify a watermark in an audio file

Connect Resemble AI to Vercel AI SDK via MCP

Follow these steps to wire Resemble AI into Vercel AI SDK. The entire setup takes under two minutes — your credentials stay safe behind Vinkius.

01

Install dependencies

Run npm install @ai-sdk/mcp ai @ai-sdk/openai
02

Replace the token

Replace [YOUR_TOKEN_HERE] with your Vinkius token
03

Run the script

Save to agent.ts and run with npx tsx agent.ts
04

Explore tools

The SDK discovers 16 tools from Resemble AI and passes them to the LLM

Why Use Vercel AI SDK with the Resemble AI MCP Server

Vercel AI SDK provides unique advantages when paired with Resemble AI through the Model Context Protocol.

01

TypeScript-first: every MCP tool gets full type inference, IDE autocomplete, and compile-time error checking out of the box

02

Framework-agnostic core works with Next.js, Nuxt, SvelteKit, or any Node.js runtime. same Resemble AI integration everywhere

03

Built-in streaming UI primitives let you display Resemble AI tool results progressively in React, Svelte, or Vue components

04

Edge-compatible: the AI SDK runs on Vercel Edge Functions, Cloudflare Workers, and other edge runtimes for minimal latency

Resemble AI + Vercel AI SDK Use Cases

Practical scenarios where Vercel AI SDK combined with the Resemble AI MCP Server delivers measurable value.

01

AI-powered web apps: build dashboards that query Resemble AI in real-time and stream results to the UI with zero loading states

02

API backends: create serverless endpoints that orchestrate Resemble AI tools and return structured JSON responses to any frontend

03

Chatbots with tool use: embed Resemble AI capabilities into conversational interfaces with streaming responses and tool call visibility

04

Internal tools: build admin panels where team members interact with Resemble AI through natural language queries

Example Prompts for Resemble AI in Vercel AI SDK

Ready-to-use prompts you can give your Vercel AI SDK agent to start working with Resemble AI immediately.

01

"List all my Resemble AI projects and their UUIDs."

02

"Create a new audio clip in project proj_123 saying 'Welcome to the future of voice' using voice voice_789."

03

"Analyze this audio URL to see if it's a deepfake: https://example.com/audio.mp3"

Troubleshooting Resemble AI MCP Server with Vercel AI SDK

Common issues when connecting Resemble AI to Vercel AI SDK through Vinkius, and how to resolve them.

01

createMCPClient is not a function

Install: npm install @ai-sdk/mcp

Resemble AI + Vercel AI SDK FAQ

Common questions about integrating Resemble AI MCP Server with Vercel AI SDK.

01

How does the Vercel AI SDK connect to MCP servers?

Import createMCPClient from @ai-sdk/mcp and pass the server URL. The SDK discovers all tools and provides typed TypeScript interfaces for each one.
02

Can I use MCP tools in Edge Functions?

Yes. The AI SDK is fully edge-compatible. MCP connections work on Vercel Edge Functions, Cloudflare Workers, and similar runtimes.
03

Does it support streaming tool results?

Yes. The SDK provides streaming primitives like useChat and streamText that handle tool calls and display results progressively in the UI.

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