How to Use the GAN.ai MCP in Mastra AI

Q: How do I list my campaigns using GAN.ai and Mastra AI?

Use the listvideoprojects tool. Your agent can then loop through the returned projects to find the correct template for the current task.

Build resilient video automation workflows in Mastra AI with automatic retries and conditional logic.

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Connect GAN.ai MCP to Mastra AI

Create your Vinkius account to connect GAN.ai 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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Setup GAN.ai with Mastra AI

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Automate video workflows with Mastra AI

Create robust pipelines that chain `generate_personalized_videos` with logic checks. If a generation fails, Mastra's workflow engine handles the retry logic automatically. Use `list_video_projects` to pull your available templates into the agent's memory. This allows your workflow to decide which video style to use based on the input data.

Manage campaigns and webhooks

Register and monitor your infrastructure using `list_configured_webhooks` to ensure your agent receives status updates. This keeps your automated processes in sync with the generation server. Verify your connection status using `verify_api_connection` as a pre-check step in your workflow. If the connection drops, your Mastra agent can trigger an alert before moving to the next task.

Audit video project performance

Extract granular insights using `get_video_stats` to inform your agent's decision-making process. If a video underperforms, your agent can switch to a different template. Retrieve specific video details with `get_video_metadata` to verify file properties before sending them to a CRM. This adds a layer of validation to your automated outbound sequences.

Setup guide

Set up GAN.ai 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

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

Discover and inject tools
Call mcpClient.listTools() and spread the result into your agent's tools object. All GAN.ai tools become native Mastra tools.
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: "ganai-mcp-client",
  servers: {
    "ganai-mcp": {
      url: new URL(
        "https://edge.vinkius.com/[YOUR_TOKEN_HERE]/mcp"
      ),
    },
  },
});

const agent = new Agent({
  name: "GAN.ai Agent",
  model: openai("gpt-4o"),
  instructions: "You have access to GAN.ai tools.",
  tools: {
    ...(await mcpClient.listTools()),
  },
});

const result = await agent.generate(
  "List recent GAN.ai transactions"
);
console.log(result.text);

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Independent Platform Disclaimer: Vinkius is an independent platform and is not affiliated with, endorsed by, sponsored by, verified by, or otherwise authorized by GAN.ai. 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 GAN.ai MCP in Mastra AI

Install the MCP client and spread the tools into your agent definition. This gives your agent direct access to all 12 video generation and management endpoints.

It does. You can enable human-in-the-loop approval for any tool, ensuring you review video projects before the agent initiates generation.

Yes, you can define custom logic in your Mastra workflow to check `get_generation_status` and trigger a re-run if the video rendering fails.

Use the `list_video_projects` tool. Your agent can then loop through the returned projects to find the correct template for the current task.

Your project data is gated by your unique API token. Every request from your agent is authenticated, and we don't store your credentials in the client itself.

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