LearnUpon MCP Server for AutoGen 9 tools — connect in under 2 minutes
Microsoft AutoGen enables multi-agent conversations where agents negotiate, delegate, and execute tasks collaboratively. Add LearnUpon 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="learnupon_agent",
tools=tools,
system_message=(
"You help users with LearnUpon. "
"9 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 LearnUpon MCP Server
Connect your LearnUpon portal to any AI agent to automate your learning management operations. This MCP server enables your agent to interact with learner accounts, course catalogs, and enrollment data directly.
AutoGen enables multi-agent conversations where agents negotiate, delegate, and collaboratively use LearnUpon tools. Connect 9 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
- Learner Management — List and search for users, and automate the creation or updating of learner profiles
- Course Discovery — Query your entire course library and search for specific training content by name
- Enrollment Automation — Manage user enrollments, link learners to courses, and handle unenrolling when needed
- Progress Tracking — Monitor enrollment statuses and identify learner participation across your portal
- Bulk Operations Support — Retrieve paginated lists of data to maintain large-scale learning environments
The LearnUpon MCP Server exposes 9 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 LearnUpon to AutoGen via MCP
Follow these steps to integrate the LearnUpon 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 9 tools from LearnUpon automatically
Why Use AutoGen with the LearnUpon MCP Server
AutoGen provides unique advantages when paired with LearnUpon through the Model Context Protocol.
Multi-agent conversations: multiple AutoGen agents discuss, delegate, and collaboratively use LearnUpon tools to solve complex tasks
Role-based architecture lets you assign LearnUpon 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 LearnUpon tool calls
Code execution sandbox: AutoGen agents can write and run code that processes LearnUpon tool responses in an isolated environment
LearnUpon + AutoGen Use Cases
Practical scenarios where AutoGen combined with the LearnUpon MCP Server delivers measurable value.
Collaborative analysis: one agent queries LearnUpon while another validates results and a third generates the final report
Automated review pipelines: a researcher agent fetches data from LearnUpon, a critic agent evaluates quality, and a writer produces the output
Interactive planning: agents negotiate task allocation using LearnUpon data to make informed decisions about resource distribution
Code generation with live data: an AutoGen coder agent writes scripts that process LearnUpon responses in a sandboxed execution environment
LearnUpon MCP Tools for AutoGen (9)
These 9 tools become available when you connect LearnUpon to AutoGen via MCP:
create_user
Requires email/username, password, and name. Create a new learner account
enroll_user_in_course
Requires course_id and user identification. Enroll a user into a specific course
list_courses
List all available courses
list_enrollments
List all course enrollments
list_users
Use this to identify user IDs for enrollment or updates. List all learner accounts
search_courses
Search for courses by name
search_users
Search for users by email or username
unenroll_user
Remove a user enrollment from a course
update_user
Update an existing user account
Example Prompts for LearnUpon in AutoGen
Ready-to-use prompts you can give your AutoGen agent to start working with LearnUpon immediately.
"Find the user with email 'learner@example.com' in LearnUpon."
"Search for courses related to 'Cybersecurity'."
"Enroll user ID '12345' into course ID '101'."
Troubleshooting LearnUpon MCP Server with AutoGen
Common issues when connecting LearnUpon to AutoGen through the Vinkius, and how to resolve them.
McpWorkbench not found
pip install "autogen-ext[mcp]"LearnUpon + AutoGen FAQ
Common questions about integrating LearnUpon 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 LearnUpon with your favorite client
Step-by-step setup guides for every MCP-compatible client and framework:
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GitHub Copilot in VS Code with Agent mode and MCP support.
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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 LearnUpon to AutoGen
Get your token, paste the configuration, and start using 9 tools in under 2 minutes. No API key management needed.