How to Use the Cloud Assess MCP in Mastra AI

Build automated training workflows in Mastra AI. Connect Cloud Assess to your logic engine.

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Connect Cloud Assess MCP to Mastra AI

Create your Vinkius account to connect Cloud Assess 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 Cloud Assess with Mastra AI

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Claude

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Automate enrolments with Mastra AI

Trigger logic based on student training status. Use `list_training_enrolments` to verify current progress before your agent executes the next step. Define your workflow branches in Mastra AI to handle retries. If a record fetch fails, the engine tries again without human intervention.

Coordinate assessors via Mastra AI

Assign tasks based on staff availability. `list_training_assessors` gives your agent the list of active trainers to route work orders correctly. Your Mastra AI agent evaluates these results against your business rules. It keeps the whole process moving in the background.

Use this MCP Server for complex audits

Build multi-step verification cycles for training compliance. `get_student_details` serves as the primary data node for your agent's decision-making tree. The server connects to your agent framework as a native toolset. You define the flow, and the tools handle the data retrieval.

Setup guide

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

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

const result = await agent.generate(
  "List recent Cloud Assess 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 Cloud Assess. 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

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Real-time monitoring

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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 Cloud Assess MCP in Mastra AI

You add the server URL to your Mastra AI agent configuration. The framework maps the tools so your workflows can invoke them.

The server exposes tools to read and list records. Your Mastra AI agent uses these to inform its wider logic and decision chains.

All traffic stays within the Vinkius secure environment. Only your defined agent processes the student records fetched from the server.

Mastra AI includes a built-in retry engine. You configure the backoff policy, and the MCP Server responds to every request.

It stores names, unit progress, and assessment outcomes. We protect this information with ephemeral connection tokens that expire after use.

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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