How to Use the Tavus Video Replicas MCP in Vercel AI SDK
Stream personalized AI videos in real-time with Vercel AI SDK and Tavus Video Replicas.
Works with every AI agent you already use
…and any MCP-compatible client
Connect Tavus Video Replicas MCP to Vercel AI SDK
Create your Vinkius account to connect Tavus Video Replicas to Vercel AI SDK — we handle the hosting, security, and runtime updates so you don't have to. No server setup required.
Gemini
Key Capabilities
Discover available replicas.
You initiate the process by calling `list_replicas` to get all available video replica identities. This is crucial for frontends because it gives you a typed list of options your user can select. Need more detail on one voice? Use `get_replica_details`. It returns the full metadata object, letting your client know exactly what kind of input that replica expects.
Generate and track video jobs.
The core function is calling `generate_replica_video(script_id)` to start the rendering process. Because this is asynchronous, you must then poll the job status using the returned ID until it's complete. This pattern of generating content and tracking state fits perfectly into a streaming SDK environment.
Manage video assets.
To keep your front-end updated, use `list_generated_videos` to fetch all existing video records. If you need specific status updates on one file, call `get_video_details`. This provides the complete object structure for that asset. Remember you can also clean up old files by calling `delete_video`.
Set up Tavus Video Replicas MCP in Vercel AI SDK
Prerequisites
- Node.js 18+ and a TypeScript project
-
ai+@modelcontextprotocol/sdkpackages - Active Vinkius subscription with a valid endpoint token
- 1
Install dependencies
Run
npm install ai @modelcontextprotocol/sdkplus your preferred model provider (e.g.@ai-sdk/openai). - 2
Create the Streamable HTTP transport
Use
StreamableHTTPClientTransportwith your Vinkius endpoint URL. Replace[YOUR_TOKEN_HERE]with your token from cloud.vinkius.com. - 3
Discover and use tools
Call
mcpClient.tools()to auto-discover all Tavus Video Replicas tools. Pass them directly togenerateText()orstreamText()— no manual schema definitions needed. - 4
Works with any model provider
Swap
openai("gpt-4o")for any AI SDK provider — Anthropic, Google, Mistral. The MCP tools work identically across all supported models.
import { experimental_createMCPClient as createMCPClient } from "ai";
import { StreamableHTTPClientTransport } from "@modelcontextprotocol/sdk/client/streamableHttp";
import { generateText } from "ai";
import { openai } from "@ai-sdk/openai";
const transport = new StreamableHTTPClientTransport(
new URL("https://edge.vinkius.com/[YOUR_TOKEN_HERE]/mcp")
);
const mcpClient = await createMCPClient({ transport });
const tools = await mcpClient.tools();
const { text } = await generateText({
model: openai("gpt-4o"),
tools,
prompt: "List recent Tavus Video Replicas transactions",
});
console.log(text);
await mcpClient.close();Independent Platform Disclaimer: Vinkius is an independent platform and is not affiliated with, endorsed by, sponsored by, verified by, or otherwise authorized by Tavus. All third-party trademarks, logos, and brand names are the property of their respective owners. Their use on this website is strictly for informational purposes to identify service compatibility and interoperability.
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Common questions about Tavus Video Replicas MCP in Vercel AI SDK
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