Can I see if a student has completed a specific unit?

Yes! Use the `list_unit_enrolment_progress` tool. The agent will return the progress status and current outcome for students across their enrolled units.

How do I check the latest assessment evidence uploaded for a student?

Use the `list_assessment_records` tool. Your agent will fetch individual assessment entries, which include metadata about the evidence provided and the final outcome.

Where do I find my Cloud Assess API keys?

You can find your **Client Key** and **API Key** in your Cloud Assess account under the integration or developer settings. You may need administrator access to view these.

Cloud Assess MCP Server for OpenAI Agents SDK 8 tools — connect in under 2 minutes

Name: Cloud Assess
Availability: InStock
Author: Vinkius

openai.github.io/openai-agents-python/mcp

Built by Vinkius GDPR 8 Tools SDK

The OpenAI Agents SDK enables production-grade agent workflows in Python. Connect Cloud Assess through Vinkius and your agents gain typed, auto-discovered tools with built-in guardrails. no manual schema definitions required.

Get MCP Server for AI Agents

ASK AI ABOUT THIS MCP SERVER

Open in ChatGPT Open in Claude Open in Perplexity

Vinkius supports streamable HTTP and SSE.

python

import asyncio
from agents import Agent, Runner
from agents.mcp import MCPServerStreamableHttp

async def main():
    # Your Vinkius token. get it at cloud.vinkius.com
    async with MCPServerStreamableHttp(
        url="https://edge.vinkius.com/[YOUR_TOKEN_HERE]/mcp"
    ) as mcp_server:

        agent = Agent(
            name="Cloud Assess Assistant",
            instructions=(
                "You help users interact with Cloud Assess. "
                "You have access to 8 tools."
            ),
            mcp_servers=[mcp_server],
        )

        result = await Runner.run(
            agent, "List all available tools from Cloud Assess"
        )
        print(result.final_output)

asyncio.run(main())

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V8 IsolateSandboxed

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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 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.

The OpenAI Agents SDK auto-discovers all 8 tools from Cloud Assess through native MCP integration. Build agents with built-in guardrails, tracing, and handoff patterns. chain multiple agents where one queries Cloud Assess, another analyzes results, and a third generates reports, all orchestrated through Vinkius.

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 OpenAI Agents SDK 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 OpenAI Agents SDK via MCP

Follow these steps to integrate the Cloud Assess MCP Server with OpenAI Agents SDK.

Install the SDK

Run pip install openai-agents in your Python environment

Replace the token

Replace [YOUR_TOKEN_HERE] with your Vinkius token from cloud.vinkius.com

Run the script

Save the code above and run it: python agent.py

Explore tools

The agent will automatically discover 8 tools from Cloud Assess

Why Use OpenAI Agents SDK with the Cloud Assess MCP Server

OpenAI Agents SDK provides unique advantages when paired with Cloud Assess through the Model Context Protocol.

Native MCP integration via `MCPServerSse`, pass the URL and the SDK auto-discovers all tools with full type safety

Built-in guardrails, tracing, and handoff patterns let you build production-grade agents without reinventing safety infrastructure

Lightweight and composable: chain multiple agents and MCP servers in a single pipeline with minimal boilerplate

First-party OpenAI support ensures optimal compatibility with GPT models for tool calling and structured output

Cloud Assess + OpenAI Agents SDK Use Cases

Practical scenarios where OpenAI Agents SDK combined with the Cloud Assess MCP Server delivers measurable value.

Automated workflows: build agents that query Cloud Assess, process the data, and trigger follow-up actions autonomously

Multi-agent orchestration: create specialist agents. one queries Cloud Assess, another analyzes results, a third generates reports

Data enrichment pipelines: stream data through Cloud Assess tools and transform it with OpenAI models in a single async loop

Customer support bots: agents query Cloud Assess to resolve tickets, look up records, and update statuses without human intervention

Cloud Assess MCP Tools for OpenAI Agents SDK (8)

These 8 tools become available when you connect Cloud Assess to OpenAI Agents SDK 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 OpenAI Agents SDK

Ready-to-use prompts you can give your OpenAI Agents SDK 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 OpenAI Agents SDK

Common issues when connecting Cloud Assess to OpenAI Agents SDK through the Vinkius, and how to resolve them.

MCPServerStreamableHttp not found

Ensure you have the latest version: pip install --upgrade openai-agents

Agent not calling tools

Make sure your prompt explicitly references the task the tools can help with.

Cloud Assess + OpenAI Agents SDK FAQ

Common questions about integrating Cloud Assess MCP Server with OpenAI Agents SDK.

How does the OpenAI Agents SDK connect to MCP?

Use MCPServerSse(url=...) to create a server connection. The SDK auto-discovers all tools and makes them available to your agent with full type information.