CAMB.AI MCP Server for Vercel AI SDKGive Vercel AI SDK instant access to 10 tools to Create Dubbing, Create Tts, Create Voice Clone, and more
The Vercel AI SDK is the TypeScript toolkit for building AI-powered applications. Connect CAMB.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 App Connector for Vercel AI SDK
The CAMB.AI app connector for Vercel AI SDK is a standout in the Artificial Intelligence category — giving your AI agent 10 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 CAMB.AI, 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 CAMB.AI MCP Server
Connect your CAMB.AI account to any AI agent and take full control of your high-fidelity audio localization and voice generation workflows through natural conversation.
The Vercel AI SDK gives every CAMB.AI 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
- Text-to-Speech (TTS) Orchestration — Generate high-fidelity speech from text using MARS-8 models with ultra-low latency programmatically through your agent
- Professional Dubbing & Translation — Programmatically translate and dub video or audio files into 140+ languages while preserving original emotional nuances
- Voice Cloning Architecture — Create custom digital twins of any voice from short samples and retrieve your directory of custom cloned voices in real-time
- Global Communication Intelligence — Access comprehensive directories of source and target languages to perfectly coordinate cross-border content delivery
- Operational Monitoring — Track the real-time status of generation jobs and retrieve high-fidelity results directly through your agent for instant reporting
The CAMB.AI 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.
All 10 CAMB.AI tools available for Vercel AI SDK
When Vercel AI SDK connects to CAMB.AI through Vinkius, your AI agent gets direct access to every tool listed below — spanning dubbing, 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.
Create a dubbing or translation job
Returns a task ID to track progress. Create a Text-to-Speech task
Create a custom voice clone
Check the status of a dubbing job
Get the result of a completed TTS task
Check the status of a TTS task
List all custom cloned voices
List supported source languages
List supported target languages
List all available voices
Connect CAMB.AI to Vercel AI SDK via MCP
Follow these steps to wire CAMB.AI 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 CAMB.AI MCP Server
Vercel AI SDK provides unique advantages when paired with CAMB.AI 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 CAMB.AI integration everywhere
Built-in streaming UI primitives let you display CAMB.AI 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
CAMB.AI + Vercel AI SDK Use Cases
Practical scenarios where Vercel AI SDK combined with the CAMB.AI MCP Server delivers measurable value.
AI-powered web apps: build dashboards that query CAMB.AI in real-time and stream results to the UI with zero loading states
API backends: create serverless endpoints that orchestrate CAMB.AI tools and return structured JSON responses to any frontend
Chatbots with tool use: embed CAMB.AI capabilities into conversational interfaces with streaming responses and tool call visibility
Internal tools: build admin panels where team members interact with CAMB.AI through natural language queries
Example Prompts for CAMB.AI in Vercel AI SDK
Ready-to-use prompts you can give your Vercel AI SDK agent to start working with CAMB.AI immediately.
"List all available voices for Text-to-Speech in CAMB.AI."
"Generate speech for 'Hello world' using voice ID 1 and language 'en-us'."
"Dub video 'https://vinkius.com/promo.mp4' from English (ID: 1) to French (ID: 4)."
Troubleshooting CAMB.AI MCP Server with Vercel AI SDK
Common issues when connecting CAMB.AI to Vercel AI SDK through the Vinkius, and how to resolve them.
createMCPClient is not a function
npm install @ai-sdk/mcpCAMB.AI + Vercel AI SDK FAQ
Common questions about integrating CAMB.AI 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.