How to Use the Carbonara MCP in Mastra AI

Generate polished code snapshots for your Mastra AI workflows using the Carbonara MCP server.

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Works with every AI agent you already use

…and any MCP-compatible client

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Connect Carbonara MCP to Mastra AI

Create your Vinkius account to connect Carbonara 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 Carbonara with Mastra AI

Ask AI about this MCP

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Claude

Perplexity

Automating code graphics in Mastra AI

Add the `cook_code_image` tool to your agent's toolset to handle visual documentation. When your workflow reaches a step requiring a code summary, the agent triggers the server. It handles the styling and window frame automatically. You just provide the source code string and receive a ready-to-use PNG.

Reliable image generation

Mastra AI agents use the `cook_code_image` operation as part of a multi-step pipeline. If the generation fails, the agent can retry the request thanks to the built-in workflow engine. You avoid manual formatting tasks. The server creates consistent images every time, regardless of the complexity of the snippet.

Human-in-the-loop image review

Set your agent to require approval before calling the `cook_code_image` tool. This ensures you only pay for and generate images that are actually needed for your reports. It keeps your workflow costs low. You maintain control over which code blocks get transformed into visual assets.

Setup guide

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

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

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

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Why Choose Vinkius

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

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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 Carbonara MCP in Mastra AI

Yes, you include the tool definition in your agent configuration. The workflow engine then invokes the function whenever it hits that step.

The server is compatible with standard retry patterns. If the network blips, your agent can attempt the request again without crashing.

You define the server URL in your MCP client object. Then, expose the available tools to your agents via the agent configuration file.

The server processes images quickly. Most requests complete in under a second, keeping your agent logic moving fast.

The server treats your code as a transient input. It is encrypted in transit and deleted from our buffers the moment the image is rendered.

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

Mastra AI sdk-typescript

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