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Playground AI MCP Server for Mastra AI 10 tools — connect in under 2 minutes

Built by Vinkius GDPR 10 Tools SDK

Mastra AI is a TypeScript-native agent framework built for modern web stacks. Connect Playground AI through Vinkius and Mastra agents discover all tools automatically. type-safe, streaming-ready, and deployable anywhere Node.js runs.

Vinkius supports streamable HTTP and SSE.

typescript
import { Agent } from "@mastra/core/agent";
import { createMCPClient } from "@mastra/mcp";
import { openai } from "@ai-sdk/openai";

async function main() {
  // Your Vinkius token. get it at cloud.vinkius.com
  const mcpClient = await createMCPClient({
    servers: {
      "playground-ai": {
        url: "https://edge.vinkius.com/[YOUR_TOKEN_HERE]/mcp",
      },
    },
  });

  const tools = await mcpClient.getTools();
  const agent = new Agent({
    name: "Playground AI Agent",
    instructions:
      "You help users interact with Playground AI " +
      "using 10 tools.",
    model: openai("gpt-4o"),
    tools,
  });

  const result = await agent.generate(
    "What can I do with Playground AI?"
  );
  console.log(result.text);
}

main();
Playground AI
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<40msKill switch
Stream every event to Splunk, Datadog, or your own webhook in real-time

* Every MCP server runs on Vinkius-managed infrastructure inside AWS - a purpose-built runtime with per-request V8 isolates, Ed25519 signed audit chains, and sub-40ms cold starts optimized for native MCP execution. See our infrastructure

About Playground AI MCP Server

Connect your AI agent directly to the Playground AI compute clusters. Eliminate manual interface dragging by instructing your LLM (Claude, Cursor) to natively generate, radically outpaint, or surgically inpaint high-resolution visual components using the Playground v3 pipeline.

Mastra's agent abstraction provides a clean separation between LLM logic and Playground AI tool infrastructure. Connect 10 tools through Vinkius and use Mastra's built-in workflow engine to chain tool calls with conditional logic, retries, and parallel execution. deployable to any Node.js host in one command.

What you can do

  • Direct Image Generation — Generate pristine assets instantly. Use the generate_image tool explicitly defining prompt nuances and tensor geometries (like 1024x1024).
  • ControlNet & Transformations — Substantially alter base images. Tell the agent to use controlnet (depth/canny) or apply raw transform_image overrides mutating your sketches into polished renders.
  • Precision Editing — Execute flawless structural edits. Instruct the AI to seamlessly remove_background and isolate elements, or use inpaint_image overlaying explicit masks.
  • Upscaling & Outpainting — Scale blurry inputs intelligently up to 4x, or instruct the diffusion model to geometrically expand boundary borders utilizing outpaint_image.

The Playground AI MCP Server exposes 10 tools through the Vinkius. Connect it to Mastra AI in under two minutes — no API keys to rotate, no infrastructure to provision, no vendor lock-in. Your configuration, your data, your control.

How to Connect Playground AI to Mastra AI via MCP

Follow these steps to integrate the Playground AI MCP Server with Mastra AI.

01

Install dependencies

Run npm install @mastra/core @mastra/mcp @ai-sdk/openai

02

Replace the token

Replace [YOUR_TOKEN_HERE] with your Vinkius token

03

Run the agent

Save to agent.ts and run with npx tsx agent.ts

04

Explore tools

Mastra discovers 10 tools from Playground AI via MCP

Why Use Mastra AI with the Playground AI MCP Server

Mastra AI provides unique advantages when paired with Playground AI through the Model Context Protocol.

01

Mastra's agent abstraction provides a clean separation between LLM logic and tool infrastructure. add Playground AI without touching business code

02

Built-in workflow engine chains MCP tool calls with conditional logic, retries, and parallel execution for complex automation

03

TypeScript-native: full type inference for every Playground AI tool response with IDE autocomplete and compile-time checks

04

One-command deployment to any Node.js host. Vercel, Railway, Fly.io, or your own infrastructure

Playground AI + Mastra AI Use Cases

Practical scenarios where Mastra AI combined with the Playground AI MCP Server delivers measurable value.

01

Automated workflows: build multi-step agents that query Playground AI, process results, and trigger downstream actions in a typed pipeline

02

SaaS integrations: embed Playground AI as a first-class tool in your product's AI features with Mastra's clean agent API

03

Background jobs: schedule Mastra agents to query Playground AI on a cron and store results in your database automatically

04

Multi-agent systems: create specialist agents that collaborate using Playground AI tools alongside other MCP servers

Playground AI MCP Tools for Mastra AI (10)

These 10 tools become available when you connect Playground AI to Mastra AI via MCP:

01

generate_image

Triggers immediate billing execution per inference step. Generate images from a text prompt using Playground AI. Playground offers multiple AI models including Playground v3 and SDXL variants for creative image generation. Instructions: Pass prompt, model name, width, height (multiples of 64)

02

generate_with_controlnet

Generate images with ControlNet guidance using Playground AI. Control types: canny, depth, pose, scribble. Instructions: Pass prompt, reference image URL, control type

03

get_generation

Get details of a Playground AI generation by ID. Returns images, prompt, model, and metadata

04

inpaint_image

Inpaint specific areas of an image using Playground AI. Uses a mask to define regions. Instructions: Pass prompt, image URL, and mask image URL (white = edit area)

05

list_generations

List recent generations on Playground AI. Returns generation IDs, prompts, and timestamps

06

list_models

List available models on Playground AI. Returns model names, descriptions, and capabilities

07

outpaint_image

Extend an image beyond its borders using Playground AI. AI generates new content in the specified direction. Instructions: Pass prompt, image URL, direction (up/down/left/right)

08

remove_background

Remove the background from an image using Playground AI. Returns transparent PNG. Instructions: Pass public image URL

09

transform_image

Transform an existing image with a text prompt using Playground AI. Strength controls how much the image changes (0-1). Instructions: Pass prompt, public image URL, and strength

10

upscale_image

Upscale an image using Playground AI. Enhances resolution and detail. Instructions: Pass image URL and scale factor (2 or 4)

Example Prompts for Playground AI in Mastra AI

Ready-to-use prompts you can give your Mastra AI agent to start working with Playground AI immediately.

01

"Generate a 1024x1024 image of a cyberpunk coffee cup in neon lighting."

02

"Upscale this image to 4x its size `https://example.com/small_icon.png`."

03

"Remove the background from the image at `https://example.com/person.jpg`."

Troubleshooting Playground AI MCP Server with Mastra AI

Common issues when connecting Playground AI to Mastra AI through the Vinkius, and how to resolve them.

01

createMCPClient not exported

Install: npm install @mastra/mcp

Playground AI + Mastra AI FAQ

Common questions about integrating Playground AI MCP Server with Mastra AI.

01

How does Mastra AI connect to MCP servers?

Create an MCPClient with the server URL and pass it to your agent. Mastra discovers all tools and makes them available with full TypeScript types.
02

Can Mastra agents use tools from multiple servers?

Yes. Pass multiple MCP clients to the agent constructor. Mastra merges all tool schemas and the agent can call any tool from any server.
03

Does Mastra support workflow orchestration?

Yes. Mastra has a built-in workflow engine that lets you chain MCP tool calls with branching logic, error handling, and parallel execution.

Connect Playground AI to Mastra AI

Get your token, paste the configuration, and start using 10 tools in under 2 minutes. No API key management needed.