How to Use the BannerBite MCP in Mastra AI

Q: Can I pause a workflow while an image is rendering?

Yes, you use getrender inside a Mastra step to poll the status until it returns success. The workflow engine suspends execution during this wait period to save resources.

Automate complex marketing video workflows with Mastra AI and BannerBite dynamic templates.

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Connect BannerBite MCP to Mastra AI

Create your Vinkius account to connect BannerBite 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 BannerBite with Mastra AI

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Run Multi-Step Video Pipelines

This BannerBite MCP Server integration lets Mastra agents trigger `generate_media` inside multi-step workflows. If a video generation step fails, Mastra's engine automatically retries the operation with exponential backoff. You use `get_render` to block subsequent steps until the video is fully compiled. This prevents your workflow from trying to post a half-rendered file to social channels.

Conditional Branching for Asset Production

Your workflow uses `list_projects` to find the correct template based on incoming payload data. If the template requires a video, Mastra triggers `generate_video`; otherwise, it defaults to `generate_image`. By checking `get_account_check` at the start of a run, the agent verifies API access before executing expensive media operations. This saves runtime overhead and avoids failing mid-pipeline.

Human-in-the-Loop Render Approvals

Mastra's approval engine pauses execution after calling `generate_media` using the MCP tool so a human can inspect the draft. Once approved, the workflow resumes and posts the final asset. The agent queries `list_renders` to show the reviewer a gallery of recent drafts. This keeps your brand standards high without sacrificing the speed of automated asset generation.

Setup guide

Set up BannerBite 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 BannerBite 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: "bannerbite-mcp-client",
  servers: {
    "bannerbite-mcp": {
      url: new URL(
        "https://edge.vinkius.com/[YOUR_TOKEN_HERE]/mcp"
      ),
    },
  },
});

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

const result = await agent.generate(
  "List recent BannerBite 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 BannerBite. 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 BannerBite MCP in Mastra AI

Instantiate the client with your Vinkius HTTP endpoint, then pass the tools directly into your Agent configuration. Mastra automatically handles the transport setup.

Yes, you can configure Mastra's workflow engine to retry the `generate_video` tool if a render fails. It uses exponential backoff to avoid hitting API rate limits.

You can restrict MCP tool exposure during client initialization. This ensures your Mastra workflows only see projects returned by `list_projects` that match your filter.

Yes, you use `get_render` inside a Mastra step to poll the status until it returns success. The workflow engine suspends execution during this wait period to save resources.

All API tokens and project metadata are stored in Vinkius's zero-trust sandbox, never exposed to the agent's logs. The server processes your image requests through ephemeral containers, ensuring your design assets are kept private.

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