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

Build automated video production workflows in Mastra AI. Handle rendering errors and retries with built-in agent logic.

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

Create your Vinkius account to connect Fliki (AI Text-to-Video & Speech API) to Mastra AI 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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Automate video creation with Mastra AI

Pass your content scripts into the `generate_video` tool as part of your Mastra workflow. You can chain this with other steps to prepare the input text automatically. If the initial attempt hits a limit, the framework handles the retry logic. It keeps your pipeline moving without manual intervention.

Monitor renders in Mastra AI workflows

Use `get_video` in a loop to check if the video is ready. Mastra allows you to branch the workflow based on the output of this status check. If the render finishes, move to the next step. If it's still processing, the agent waits and checks again later.

Manage voice selection in Mastra AI

Fetch available voices using `list_voices` before starting a production run. You can store these in your agent memory to ensure brand consistency across videos. This makes your agents smarter. They know exactly which voice to pick for a specific project type.

Setup guide

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

Prerequisites

  • Node.js 18+ and a TypeScript project
  • @mastra/mcp + @mastra/core packages
  • Active Vinkius subscription with a valid endpoint token
  1. 1

    Install dependencies

    Run npm install @mastra/mcp @mastra/core plus your preferred model provider (e.g. @ai-sdk/openai).

  2. 2

    Configure the MCPClient

    Create an MCPClient with your Vinkius endpoint as a URL object. Replace [YOUR_TOKEN_HERE] with your token from cloud.vinkius.com.

  3. 3

    Discover and inject tools

    Call mcpClient.listTools() and spread the result into your agent's tools object. All Fliki (AI Text-to-Video & Speech API) tools become native Mastra tools.

  4. 4

    Run with any model

    Swap openai("gpt-4o") for any AI SDK-compatible provider. Call agent.generate() and the agent routes tool calls through MCP automatically.

agent.ts
import { MCPClient } from "@mastra/mcp";
import { Agent } from "@mastra/core/agent";
import { openai } from "@ai-sdk/openai";

const mcpClient = new MCPClient({
  id: "fliki-ai-text-to-video-speech-api-mcp-client",
  servers: {
    "fliki-ai-text-to-video-speech-api-mcp": {
      url: new URL(
        "https://edge.vinkius.com/[YOUR_TOKEN_HERE]/mcp"
      ),
    },
  },
});

const agent = new Agent({
  name: "Fliki (AI Text-to-Video & Speech API) Agent",
  model: openai("gpt-4o"),
  instructions: "You have access to Fliki (AI Text-to-Video & Speech API) tools.",
  tools: {
    ...(await mcpClient.listTools()),
  },
});

const result = await agent.generate(
  "List recent Fliki (AI Text-to-Video & Speech API) transactions"
);
console.log(result.text);

Independent Platform Disclaimer: Vinkius is an independent platform and is not affiliated with, endorsed by, sponsored by, verified by, or otherwise authorized by Fliki. 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 Fliki (AI Text-to-Video & Speech API) MCP in Mastra AI

Register the MCP server URL in your Mastra configuration. The agent will auto-detect the available tools for your workflow.
It does. You can define a policy in your workflow to retry `generate_video` calls if the server responds with a transient error.
You can. Pass the output of one agent as the input for the next, using the video URL generated in the first step.
The server operates in an isolated environment. Your text and metadata are never shared or stored by the host.
Render times depend on the complexity of your script. Use the status polling tool to handle the wait time gracefully.

Start using the Fliki (AI Text-to-Video & Speech API) MCP today

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