How to Use the Bannerbear (Image Gen) MCP in Mastra AI

Q: Can I use Bannerbear (Image Gen) with Mastra AI for bulk processing?

You use createcollection to batch your requests. This keeps your agent workflows efficient when you need to generate multiple assets from a single prompt.

Q: How do I verify Bannerbear (Image Gen) output in Mastra AI?

The agent can call getimage immediately after a render to confirm the file details. You can add a condition to your workflow that checks this status before proceeding.

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Connect Bannerbear (Image Gen) MCP to Mastra AI

Create your Vinkius account to connect Bannerbear (Image Gen) 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 Bannerbear (Image Gen) with Mastra AI

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Automate asset creation in Mastra AI

Chain the `create_image` tool inside your agent workflows to generate visuals based on previous task results. You set the logic so the agent decides when to pull a template and render a final file. This removes the need for manual design work. Your agent handles the heavy lifting while you define the branching logic for each render.

Handle complex renders in Mastra AI

Use `create_video` within a multi-step agent flow to generate media files that require multiple inputs. If a render fails, your Mastra workflow handles the retry logic automatically. This keeps your media production pipeline moving without constant oversight. You monitor the process via standard agent logs and error handling.

Query project templates in Mastra AI

Call `list_templates` as a pre-step in your agent loop to identify the right design for the task. Your agent chooses the correct template ID dynamically based on the current context. You avoid hard-coding values by letting the agent inspect the project schema first. It ensures every generated asset matches the intended design format.

Setup guide

Set up Bannerbear (Image Gen) 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 Bannerbear (Image Gen) 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: "bannerbear-image-gen-mcp-client",
  servers: {
    "bannerbear-image-gen-mcp": {
      url: new URL(
        "https://edge.vinkius.com/[YOUR_TOKEN_HERE]/mcp"
      ),
    },
  },
});

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

const result = await agent.generate(
  "List recent Bannerbear (Image Gen) 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 Bannerbear. 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 Bannerbear (Image Gen) MCP in Mastra AI

You add the tools to your agent's toolset and call them within your defined steps. Mastra handles the execution and any necessary retries if the server is busy.

You use `create_collection` to batch your requests. This keeps your agent workflows efficient when you need to generate multiple assets from a single prompt.

The agent can call `get_image` immediately after a render to confirm the file details. You can add a condition to your workflow that checks this status before proceeding.

Vinkius manages all auth through a single endpoint token. You just initialize the client in your code, and the server handles the rest.

Your image and video generation requests are isolated within the V8 sandbox. Only the specific template data needed for your current task is ever accessed by the server.

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