Cloud Assess MCP Server for AutoGen 8 tools — connect in under 2 minutes
Microsoft AutoGen enables multi-agent conversations where agents negotiate, delegate, and execute tasks collaboratively. Add Cloud Assess as an MCP tool provider through Vinkius and every agent in the group can access live data and take action.
ASK AI ABOUT THIS MCP SERVER
Vinkius supports streamable HTTP and SSE.
import asyncio
from autogen_agentchat.agents import AssistantAgent
from autogen_ext.tools.mcp import McpWorkbench
async def main():
# Your Vinkius token. get it at cloud.vinkius.com
async with McpWorkbench(
server_params={"url": "https://edge.vinkius.com/[YOUR_TOKEN_HERE]/mcp"},
transport="streamable_http",
) as workbench:
tools = await workbench.list_tools()
agent = AssistantAgent(
name="cloud_assess_agent",
tools=tools,
system_message=(
"You help users with Cloud Assess. "
"8 tools available."
),
)
print(f"Agent ready with {len(tools)} tools")
asyncio.run(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.
AutoGen enables multi-agent conversations where agents negotiate, delegate, and collaboratively use Cloud Assess tools. Connect 8 tools through Vinkius and assign role-based access. a data analyst queries while a reviewer validates, with optional human-in-the-loop approval for sensitive operations.
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 AutoGen 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 AutoGen via MCP
Follow these steps to integrate the Cloud Assess MCP Server with AutoGen.
Install AutoGen
Run pip install "autogen-ext[mcp]"
Replace the token
Replace [YOUR_TOKEN_HERE] with your Vinkius token
Integrate into workflow
Use the agent in your AutoGen multi-agent orchestration
Explore tools
The workbench discovers 8 tools from Cloud Assess automatically
Why Use AutoGen with the Cloud Assess MCP Server
AutoGen provides unique advantages when paired with Cloud Assess through the Model Context Protocol.
Multi-agent conversations: multiple AutoGen agents discuss, delegate, and collaboratively use Cloud Assess tools to solve complex tasks
Role-based architecture lets you assign Cloud Assess tool access to specific agents. a data analyst queries while a reviewer validates
Human-in-the-loop support: agents can pause for human approval before executing sensitive Cloud Assess tool calls
Code execution sandbox: AutoGen agents can write and run code that processes Cloud Assess tool responses in an isolated environment
Cloud Assess + AutoGen Use Cases
Practical scenarios where AutoGen combined with the Cloud Assess MCP Server delivers measurable value.
Collaborative analysis: one agent queries Cloud Assess while another validates results and a third generates the final report
Automated review pipelines: a researcher agent fetches data from Cloud Assess, a critic agent evaluates quality, and a writer produces the output
Interactive planning: agents negotiate task allocation using Cloud Assess data to make informed decisions about resource distribution
Code generation with live data: an AutoGen coder agent writes scripts that process Cloud Assess responses in a sandboxed execution environment
Cloud Assess MCP Tools for AutoGen (8)
These 8 tools become available when you connect Cloud Assess to AutoGen 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 AutoGen
Ready-to-use prompts you can give your AutoGen 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 AutoGen
Common issues when connecting Cloud Assess to AutoGen through the Vinkius, and how to resolve them.
McpWorkbench not found
pip install "autogen-ext[mcp]"Cloud Assess + AutoGen FAQ
Common questions about integrating Cloud Assess MCP Server with AutoGen.
How does AutoGen connect to MCP servers?
Can different agents have different MCP tool access?
Does AutoGen support human approval for tool calls?
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 AutoGen
Get your token, paste the configuration, and start using 8 tools in under 2 minutes. No API key management needed.
