How to Use the DeepAI MCP in Mastra AI

Q: How do I register the DeepAI tools in a Mastra AI agent?

Install @mastra/mcp@latest and initialize the MCPClient with the Vinkius URL. Call mcpClient.listTools() and spread the returned objects directly into your agent's tool array.

Q: Can I run DeepAI workflows asynchronously using Mastra AI?

Yes. Mastra's workflow engine manages the execution of generateimage and editimage as background steps. You can track execution states and handle retries without blocking your main application loop.

Build resilient, self-healing image workflows with Mastra AI and the DeepAI 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 DeepAI MCP to Mastra AI

Create your Vinkius account to connect DeepAI 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 DeepAI with Mastra AI

Ask AI about this MCP

ChatGPT

Claude

Perplexity

Conditional image editing pipelines

The `edit_image` tool modifies existing graphics based on natural language prompts within your Mastra workflows. If a generation fails or doesn't meet quality thresholds, Mastra's built-in workflow engine automatically triggers a retry. You register the tool by installing `@mastra/mcp@latest` and declaring a new MCP client. The agent evaluates the output, applying conditional branching to decide whether to edit again or proceed to the next step.

Automated upscaling with Mastra and the MCP Server

The `super_resolution` tool increases image dimensions and sharpens details without losing visual quality. This MCP server tool integrates directly into Mastra's step execution, allowing you to chain upscaling right after image generation. If the upscaling step times out due to network congestion, Mastra's exponential backoff kicks in automatically. This keeps your autonomous image processing pipelines running without manual intervention or crashing.

Batch background removal and colorization

The `remove_background` and `colorize_image` tools strip backdrops and apply realistic color palettes to legacy photos. These tools run concurrently across entire batches of source assets during Mastra workflow steps. Mastra automatically handles the SSE or Streamable HTTP transport protocols under the hood. You can configure `requireToolApproval` to pause the workflow and let a human review the colorized output before saving.

Setup guide

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

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

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

Install `@mastra/mcp@latest` and initialize the `MCPClient` with the Vinkius URL. Call `mcpClient.listTools()` and spread the returned objects directly into your agent's tool array.

Yes. Mastra's workflow engine manages the execution of `generate_image` and `edit_image` as background steps. You can track execution states and handle retries without blocking your main application loop.

Mastra uses its native retry system with exponential backoff to handle rate limits. If the server returns a temporary error, Mastra pauses and retries the tool execution automatically.

No. The Mastra client auto-detects whether the Vinkius endpoint uses SSE or Streamable HTTP, setting up the connection automatically without extra code.

Your images are processed in memory and never written to persistent storage. Vinkius runs the server in an isolated sandbox, ensuring your source image files are deleted the millisecond the execution finishes.

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