Tavus Video Replicas MCP Server for Vercel AI SDK 7 tools — connect in under 2 minutes
The Vercel AI SDK is the TypeScript toolkit for building AI-powered applications. Connect Tavus Video Replicas 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 Tavus Video Replicas, 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 Tavus Video Replicas MCP Server
Connect your AI agent to Tavus, the leading platform for automated personalized video generation. This integration allows you to leverage AI replicas to create high-quality, talking-head videos for sales, marketing, and customer success directly from your conversation.
The Vercel AI SDK gives every Tavus Video Replicas tool full TypeScript type inference, IDE autocomplete, and compile-time error checking. Connect 7 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
- Replica Management — List and inspect your trained AI video replicas
- Video Generation — Create new videos by providing a script and selecting a replica
- Status Tracking — Monitor the progress of video generation tasks in real-time
- Content Library — Access a list of all your generated videos and their download links
- Resource Cleanup — Permanently delete replicas or videos no longer needed
The Tavus Video Replicas MCP Server exposes 7 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 Tavus Video Replicas to Vercel AI SDK via MCP
Follow these steps to integrate the Tavus Video Replicas 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 7 tools from Tavus Video Replicas and passes them to the LLM
Why Use Vercel AI SDK with the Tavus Video Replicas MCP Server
Vercel AI SDK provides unique advantages when paired with Tavus Video Replicas 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 Tavus Video Replicas integration everywhere
Built-in streaming UI primitives let you display Tavus Video Replicas 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
Tavus Video Replicas + Vercel AI SDK Use Cases
Practical scenarios where Vercel AI SDK combined with the Tavus Video Replicas MCP Server delivers measurable value.
AI-powered web apps: build dashboards that query Tavus Video Replicas in real-time and stream results to the UI with zero loading states
API backends: create serverless endpoints that orchestrate Tavus Video Replicas tools and return structured JSON responses to any frontend
Chatbots with tool use: embed Tavus Video Replicas capabilities into conversational interfaces with streaming responses and tool call visibility
Internal tools: build admin panels where team members interact with Tavus Video Replicas through natural language queries
Tavus Video Replicas MCP Tools for Vercel AI SDK (7)
These 7 tools become available when you connect Tavus Video Replicas to Vercel AI SDK via MCP:
delete_replica
Permanently delete a specific replica
delete_video
Permanently delete a specific generated video
generate_replica_video
Generate a new AI video using a specific replica
get_replica_details
Get comprehensive details for a specific replica
get_video_details
Get detailed information for a specific generated video
list_generated_videos
Retrieve a list of all generated videos
list_replicas
Retrieve a list of all your AI video replicas
Example Prompts for Tavus Video Replicas in Vercel AI SDK
Ready-to-use prompts you can give your Vercel AI SDK agent to start working with Tavus Video Replicas immediately.
"List my Tavus replicas."
"Generate a video with replica 'rep_123' saying 'Hello, welcome to our platform!'."
Troubleshooting Tavus Video Replicas MCP Server with Vercel AI SDK
Common issues when connecting Tavus Video Replicas to Vercel AI SDK through the Vinkius, and how to resolve them.
createMCPClient is not a function
npm install @ai-sdk/mcpTavus Video Replicas + Vercel AI SDK FAQ
Common questions about integrating Tavus Video Replicas 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 Tavus Video Replicas 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 Tavus Video Replicas to Vercel AI SDK
Get your token, paste the configuration, and start using 7 tools in under 2 minutes. No API key management needed.