Cloud Assess MCP Server for Mastra AI 8 tools — connect in under 2 minutes
Mastra AI is a TypeScript-native agent framework built for modern web stacks. Connect Cloud Assess through Vinkius and Mastra agents discover all tools automatically. type-safe, streaming-ready, and deployable anywhere Node.js runs.
ASK AI ABOUT THIS MCP SERVER
Vinkius supports streamable HTTP and SSE.
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: {
"cloud-assess": {
url: "https://edge.vinkius.com/[YOUR_TOKEN_HERE]/mcp",
},
},
});
const tools = await mcpClient.getTools();
const agent = new Agent({
name: "Cloud Assess Agent",
instructions:
"You help users interact with Cloud Assess " +
"using 8 tools.",
model: openai("gpt-4o"),
tools,
});
const result = await agent.generate(
"What can I do with Cloud Assess?"
);
console.log(result.text);
}
main();
* 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 Cloud Assess MCP Server
Connect your Cloud Assess account to any AI agent and take full control of your RTO (Registered Training Organisation) operations through natural conversation. Streamline how you manage student progress and assessment compliance natively.
Mastra's agent abstraction provides a clean separation between LLM logic and Cloud Assess 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
- Student Oversight — List and retrieve details for all students (members) in your system natively
- Enrolment Intelligence — Access and monitor student enrolments in qualifications and individual units flawlessly
- Assessment Management — List and review assessment results, outcomes, and evidence records securely
- Unit Progress Tracking — Monitor progress and completion status at the unit enrolment level flawlessly
- Form & Checklist Auditing — Access specific assessment forms and data points directly within your workspace flawlessly
- Staff Visibility — List internal trainers and assessors who manage the training delivery flawlessly
The Cloud Assess 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 Cloud Assess to Mastra AI via MCP
Follow these steps to integrate the Cloud Assess MCP Server with Mastra AI.
Install dependencies
Run npm install @mastra/core @mastra/mcp @ai-sdk/openai
Replace the token
Replace [YOUR_TOKEN_HERE] with your Vinkius token
Run the agent
Save to agent.ts and run with npx tsx agent.ts
Explore tools
Mastra discovers 8 tools from Cloud Assess via MCP
Why Use Mastra AI with the Cloud Assess MCP Server
Mastra AI provides unique advantages when paired with Cloud Assess through the Model Context Protocol.
Mastra's agent abstraction provides a clean separation between LLM logic and tool infrastructure. add Cloud Assess without touching business code
Built-in workflow engine chains MCP tool calls with conditional logic, retries, and parallel execution for complex automation
TypeScript-native: full type inference for every Cloud Assess tool response with IDE autocomplete and compile-time checks
One-command deployment to any Node.js host. Vercel, Railway, Fly.io, or your own infrastructure
Cloud Assess + Mastra AI Use Cases
Practical scenarios where Mastra AI combined with the Cloud Assess MCP Server delivers measurable value.
Automated workflows: build multi-step agents that query Cloud Assess, process results, and trigger downstream actions in a typed pipeline
SaaS integrations: embed Cloud Assess as a first-class tool in your product's AI features with Mastra's clean agent API
Background jobs: schedule Mastra agents to query Cloud Assess on a cron and store results in your database automatically
Multi-agent systems: create specialist agents that collaborate using Cloud Assess tools alongside other MCP servers
Cloud Assess MCP Tools for Mastra AI (8)
These 8 tools become available when you connect Cloud Assess to Mastra AI via MCP:
get_student_details
Get detailed information for a specific student
list_assessment_forms
List specific forms and checklists captured within assessments
list_assessment_records
List individual assessment results and evidence records
list_student_members
List all students (members) in Cloud Assess
list_training_assessors
List all internal assessors and trainers
list_training_enrolments
List student enrolments in qualifications or units
list_training_locations
List physical or logical training locations
list_unit_enrolment_progress
List progress and status at the unit enrolment level
Example Prompts for Cloud Assess in Mastra AI
Ready-to-use prompts you can give your Mastra AI agent to start working with Cloud Assess immediately.
"List all students currently enrolled in the 'Diploma of Management'."
"Show me the assessment results for student ID 'STU_12345'."
"Who is the assessor assigned to the 'Unit BSB401' for John Doe?"
Troubleshooting Cloud Assess MCP Server with Mastra AI
Common issues when connecting Cloud Assess to Mastra AI through the Vinkius, and how to resolve them.
createMCPClient not exported
npm install @mastra/mcpCloud Assess + Mastra AI FAQ
Common questions about integrating Cloud Assess MCP Server with Mastra AI.
How does Mastra AI connect to MCP servers?
MCPClient with the server URL and pass it to your agent. Mastra discovers all tools and makes them available with full TypeScript types.Can Mastra agents use tools from multiple servers?
Does Mastra support workflow orchestration?
Connect Cloud Assess with your favorite client
Step-by-step setup guides for every MCP-compatible client and framework:
Anthropic's native desktop app for Claude with built-in MCP support.
AI-first code editor with integrated LLM-powered coding assistance.
GitHub Copilot in VS Code with Agent mode and MCP support.
Purpose-built IDE for agentic AI coding workflows.
Autonomous AI coding agent that runs inside VS Code.
Anthropic's agentic CLI for terminal-first development.
Python SDK for building production-grade OpenAI agent workflows.
Google's framework for building production AI agents.
Type-safe agent development for Python with first-class MCP support.
TypeScript toolkit for building AI-powered web applications.
TypeScript-native agent framework for modern web stacks.
Python framework for orchestrating collaborative AI agent crews.
Leading Python framework for composable LLM applications.
Data-aware AI agent framework for structured and unstructured sources.
Microsoft's framework for multi-agent collaborative conversations.
Connect Cloud Assess to Mastra AI
Get your token, paste the configuration, and start using 8 tools in under 2 minutes. No API key management needed.