How to Use the Fliki (AI Text-to-Video & Speech API) MCP in Vercel AI SDK

Q: What happens if a render fails?

The getvideo tool returns the error state. You can catch this in your SDK logic and prompt the user to retry with a different script.

Turn text into video directly inside your Vercel AI SDK project. Get real-time rendering status without leaving your codebase.

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Connect Fliki (AI Text-to-Video & Speech API) MCP to Vercel AI SDK

Create your Vinkius account to connect Fliki (AI Text-to-Video & Speech API) to Vercel AI SDK and route execution through our secure gateway. The platform manages server hosting, runtime updates, and security layers. Configuration requires no manual server provisioning.

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Setup Fliki (AI Text-to-Video & Speech API) with Vercel AI SDK

Ask AI about this MCP

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Claude

Perplexity

Generate video assets with AI SDK

Send your script directly to the `generate_video` tool. The Vercel AI SDK streams the request to the backend so your users don't hang while the server processes the media. Define your aspect ratio and voice settings in the tool call. You get back the unique identifier needed to track the render progress.

Check render status via Vercel AI SDK

Use `get_video` to poll the server for the final file URL. Since it's built for the SDK, you can pipe these status updates into your React or Svelte UI components instantly. Don't let your frontend go dark. Show a progress bar while the server handles the heavy lifting of video creation.

Browse voices for Vercel AI SDK

Call `list_voices` to pull the current library of available AI speakers. You can map these to a dropdown in your app so users pick their preferred tone before generating content. This keeps your interface snappy. You're always using the latest voice definitions provided by the server.

Setup guide

Set up Fliki (AI Text-to-Video & Speech API) MCP in Vercel AI SDK

Prerequisites

Node.js 18+ and a TypeScript project
ai + @modelcontextprotocol/sdk packages
Active Vinkius subscription with a valid endpoint token

1

Install dependencies

Run npm install ai @modelcontextprotocol/sdk plus your preferred model provider (e.g. @ai-sdk/openai).
2

Create the Streamable HTTP transport

Use StreamableHTTPClientTransport with 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 Fliki (AI Text-to-Video & Speech API) tools. Pass them directly to generateText() or streamText() — 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.

index.ts

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 Fliki (AI Text-to-Video & Speech API) transactions",
});

console.log(text);
await mcpClient.close();

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Common questions about Fliki (AI Text-to-Video & Speech API) MCP in Vercel AI SDK

Install the MCP client package and connect to the Vinkius endpoint. Pass the tools from the server into your generateText call to start building.

Yes. The tools return the video URL once the render completes. You can then render that link directly in your video player component.

It is. The MCP standard ensures the handshake between your edge functions and the server remains consistent across deployments.

Your scripts and voice selections are processed through a secure, ephemeral sandbox. No data persists on the server beyond what's needed to generate your video.

The `get_video` tool returns the error state. You can catch this in your SDK logic and prompt the user to retry with a different script.

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