2,500+ MCP servers ready to use
Vinkius

Claid AI MCP Server for Mastra AI 8 tools — connect in under 2 minutes

Built by Vinkius GDPR 8 Tools SDK

Mastra AI is a TypeScript-native agent framework built for modern web stacks. Connect Claid 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: {
      "claid-ai": {
        url: "https://edge.vinkius.com/[YOUR_TOKEN_HERE]/mcp",
      },
    },
  });

  const tools = await mcpClient.getTools();
  const agent = new Agent({
    name: "Claid AI Agent",
    instructions:
      "You help users interact with Claid AI " +
      "using 8 tools.",
    model: openai("gpt-4o"),
    tools,
  });

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

main();
Claid AI
Fully ManagedVinkius Servers
60%Token savings
High SecurityEnterprise-grade
IAMAccess control
EU AI ActCompliant
DLPData protection
V8 IsolateSandboxed
Ed25519Audit chain
<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 Claid AI MCP Server

Connect your Claid AI account to any AI agent and take full control of your image enhancement workflows through natural conversation. Transform basic product shots into professional photography instantly.

Mastra's agent abstraction provides a clean separation between LLM logic and Claid AI tool infrastructure. Connect 8 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

  • AI Enhancement — Apply multiple enhancements like HDR adjustment, white balance, and polishing natively
  • Resolution Upscaling — Increase image dimensions using specialized AI models for photos and digital art flawlessly
  • Background Logistics — Remove or replace backgrounds with white or custom scenes securely
  • Task Oversight — Monitor the status of async processing tasks and retrieve results flawlessly
  • Canvas Control — Resize images to specific dimensions with intelligent fit/fill logic flawlessly
  • Account Visibility — Retrieve core account information and monitor your AI usage quotas directly within your workspace

The Claid AI MCP Server exposes 8 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 Claid AI to Mastra AI via MCP

Follow these steps to integrate the Claid 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 8 tools from Claid AI via MCP

Why Use Mastra AI with the Claid AI MCP Server

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

01

Mastra's agent abstraction provides a clean separation between LLM logic and tool infrastructure. add Claid 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 Claid 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

Claid AI + Mastra AI Use Cases

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

01

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

02

SaaS integrations: embed Claid 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 Claid AI on a cron and store results in your database automatically

04

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

Claid AI MCP Tools for Mastra AI (8)

These 8 tools become available when you connect Claid AI to Mastra AI via MCP:

01

enhance_image

You can combine multiple operations like upscale, background removal, and HDR adjustment. Apply AI enhancements and edits to an image

02

get_claid_account_info

Retrieve core account and quota information

03

get_processing_task_details

Get the status and result of an async image processing task

04

list_available_ai_operations

List common AI operations supported by the Claid API

05

list_claid_collections

List image collections in your account

06

list_claid_webhooks

List configured webhooks for async notifications

07

remove_image_background

Quickly remove or replace the background of an image

08

upscale_image_resolution

Increase image resolution using AI models

Example Prompts for Claid AI in Mastra AI

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

01

"Upscale this product photo to high resolution: https://example.com/shoe.jpg"

02

"Remove the background from this image: https://example.com/model.jpg"

03

"What is the status of processing task 'task_98765'?"

Troubleshooting Claid AI MCP Server with Mastra AI

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

01

createMCPClient not exported

Install: npm install @mastra/mcp

Claid AI + Mastra AI FAQ

Common questions about integrating Claid 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 Claid AI to Mastra AI

Get your token, paste the configuration, and start using 8 tools in under 2 minutes. No API key management needed.