eduMe MCP Server for AutoGen 10 tools — connect in under 2 minutes
Microsoft AutoGen enables multi-agent conversations where agents negotiate, delegate, and execute tasks collaboratively. Add eduMe 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="edume_agent",
tools=tools,
system_message=(
"You help users with eduMe. "
"10 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 eduMe MCP Server
Integrate eduMe, the leading mobile-first training platform for the deskless workforce, directly into your AI workflow. Manage your training courses and modules, track trainee profiles and completion rates, monitor team performance, and oversee your organizational learning metadata using natural language.
AutoGen enables multi-agent conversations where agents negotiate, delegate, and collaboratively use eduMe tools. Connect 10 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
- Course Oversight — List and retrieve detailed information and completion metrics for all your mobile training courses.
- Trainee Intelligence — Monitor user training profiles, identifying completed courses, active enrollments, and organizational team memberships.
- Team Management — Access and monitor all training teams and user groups configured in your eduMe account.
- Learning Auditing — Retrieve high-level summaries of team activity, course engagement, and organizational training health.
The eduMe MCP Server exposes 10 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 eduMe to AutoGen via MCP
Follow these steps to integrate the eduMe 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 10 tools from eduMe automatically
Why Use AutoGen with the eduMe MCP Server
AutoGen provides unique advantages when paired with eduMe through the Model Context Protocol.
Multi-agent conversations: multiple AutoGen agents discuss, delegate, and collaboratively use eduMe tools to solve complex tasks
Role-based architecture lets you assign eduMe 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 eduMe tool calls
Code execution sandbox: AutoGen agents can write and run code that processes eduMe tool responses in an isolated environment
eduMe + AutoGen Use Cases
Practical scenarios where AutoGen combined with the eduMe MCP Server delivers measurable value.
Collaborative analysis: one agent queries eduMe while another validates results and a third generates the final report
Automated review pipelines: a researcher agent fetches data from eduMe, a critic agent evaluates quality, and a writer produces the output
Interactive planning: agents negotiate task allocation using eduMe data to make informed decisions about resource distribution
Code generation with live data: an AutoGen coder agent writes scripts that process eduMe responses in a sandboxed execution environment
eduMe MCP Tools for AutoGen (10)
These 10 tools become available when you connect eduMe to AutoGen via MCP:
get_course_details
Get detailed settings and module list for a specific training course
get_edume_account_metadata
Retrieve metadata and limits for your eduMe account
get_user_training_profile
Get full training history and profile for a specific user
list_latest_training_content
Identify the most recently created or updated training courses
list_top_performing_courses
Identify courses with the highest completion or engagement rates (mock logic)
list_trained_users
List all users registered in your eduMe training platform
list_training_courses
List all mobile training courses available in eduMe
list_training_teams
List all teams and user groups configured in your eduMe account
quick_team_training_audit
Retrieve a high-level summary of team activity and member counts
search_trainees_by_keyword
Search for users using a name keyword or external identifier
Example Prompts for eduMe in AutoGen
Ready-to-use prompts you can give your AutoGen agent to start working with eduMe immediately.
"List all mobile training courses."
"Show me the training profile for user 'john_doe'."
"Which teams have the lowest course engagement?"
Troubleshooting eduMe MCP Server with AutoGen
Common issues when connecting eduMe to AutoGen through the Vinkius, and how to resolve them.
McpWorkbench not found
pip install "autogen-ext[mcp]"eduMe + AutoGen FAQ
Common questions about integrating eduMe 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 eduMe 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 eduMe to AutoGen
Get your token, paste the configuration, and start using 10 tools in under 2 minutes. No API key management needed.