How to Use the Vectorizer AI MCP in Mastra AI

Q: Does Vectorizer AI handle various output formats in a workflow? What about PDF/DXF?

Absolutely. The vectorizeimage tool supports multiple outputs, including SVG, EPS, PDF, and DXF. You can direct the resulting file type based on your workflow logic.

Q: If I need to clean up image tokens from Vectorizer AI using Mastra AI, how do I proceed?

You use the deleteimage tool within a cleanup step. This allows you to reliably remove stored images after your main workflow has successfully completed.

Build resilient, multi-step design pipelines for Mastra AI using the Vectorizer AI MCP Server.

See Vinkius in Action

Works with every AI agent you already use

…and any MCP-compatible client

MCP Servers - Free for Subscribers

Connect Vectorizer AI MCP to Mastra AI

Create your Vinkius account to connect Vectorizer 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.

GDPR Free for Subscribers

Setup Vectorizer AI with Mastra AI

Ask AI about this MCP

ChatGPT

Claude

Perplexity

Automate vector conversion in workflows

The `vectorize_image` tool is key to running complex graphics processes. Your agent can first call this to turn a bitmap into SVG or DXF, which then becomes an input for the next step. This allows you to build multi-step workflows that automatically process and validate visual assets.

Check resource availability before running

Before committing to a job, run `get_account_status`. This ensures your workflow won't fail due to credit exhaustion. Mastra AI can use this status check as a conditional branch point. If the credits are low, you can automatically trigger an admin notification or prompt for payment.

Retrieve final assets and clean up

After vectorizing, your agent needs the file. Use `download_image` to grab the production result in required formats (PDF/EPS). You can also pair this with `delete_image` to handle cleanup right after deployment. This two-step process makes sure assets are available and storage is cleared.

Setup guide

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

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

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

Get your connection token →

Independent Platform Disclaimer: Vinkius is an independent platform and is not affiliated with, endorsed by, sponsored by, verified by, or otherwise authorized by Vectorizer 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.

Why Choose Vinkius

Vinkius connects your tools to AI with real-time monitoring and automatic cost savings — all from one dashboard.

Connect Vectorizer AI now

Real-time monitoring

Live

visibility into every interaction

Connect your favorite tools to your AI and see exactly what's happening — every request, every response, in real time.

Built-in savings

60%

lower AI costs

Vinkius compresses data between your apps and your AI automatically. Lower bills every month — no configuration required.

Single dashboard

One

place for every integration

Every tool your AI connects to, managed from a single screen. One account, complete control.

Common questions about Vectorizer AI MCP in Mastra AI

You include the server in your workflow engine. For example, a step might be: 1) Check status using `get_account_status`, then 2) run `vectorize_image`, and finally 3) use `download_image`.

Yes. Since the process is contained in a workflow, you can configure automatic retries with exponential backoff if the initial call to `vectorize_image` fails due to transient errors.

The server handles PNG or JPG inputs and associated temporary image tokens. These are the data types your conditional branches must account for during execution.

Absolutely. The `vectorize_image` tool supports multiple outputs, including SVG, EPS, PDF, and DXF. You can direct the resulting file type based on your workflow logic.

You use the `delete_image` tool within a cleanup step. This allows you to reliably remove stored images after your main workflow has successfully completed.

Use it with your favorite AI tools

Connect this server to Cursor, Claude, VS Code, and more.

OpenAI Agents SDK sdk-python

Google ADK sdk-python

Pydantic AI sdk-python

Vercel AI SDK sdk-typescript