Didacte 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 Didacte 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="didacte_agent",
tools=tools,
system_message=(
"You help users with Didacte. "
"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 Didacte MCP Server
Integrate Didacte (by Workleap), the powerful and user-friendly learning management system (LMS), directly into your AI workflow. Manage your course catalog, monitor student enrollments and real-time progress, and audit your organization's learning activity using natural language.
AutoGen enables multi-agent conversations where agents negotiate, delegate, and collaboratively use Didacte 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 configuration for all courses available in your Didacte portal.
- Learner Intelligence — Access detailed profiles for users and track their learning history across the organization.
- Progress Tracking — Monitor individual enrollment progress and identify active learners in real-time.
- Curriculum Research — List lessons and modules within courses to understand the learning structure and content.
The Didacte 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 Didacte to AutoGen via MCP
Follow these steps to integrate the Didacte 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 Didacte automatically
Why Use AutoGen with the Didacte MCP Server
AutoGen provides unique advantages when paired with Didacte through the Model Context Protocol.
Multi-agent conversations: multiple AutoGen agents discuss, delegate, and collaboratively use Didacte tools to solve complex tasks
Role-based architecture lets you assign Didacte 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 Didacte tool calls
Code execution sandbox: AutoGen agents can write and run code that processes Didacte tool responses in an isolated environment
Didacte + AutoGen Use Cases
Practical scenarios where AutoGen combined with the Didacte MCP Server delivers measurable value.
Collaborative analysis: one agent queries Didacte while another validates results and a third generates the final report
Automated review pipelines: a researcher agent fetches data from Didacte, a critic agent evaluates quality, and a writer produces the output
Interactive planning: agents negotiate task allocation using Didacte data to make informed decisions about resource distribution
Code generation with live data: an AutoGen coder agent writes scripts that process Didacte responses in a sandboxed execution environment
Didacte MCP Tools for AutoGen (10)
These 10 tools become available when you connect Didacte to AutoGen via MCP:
get_account_metadata
Retrieve metadata and usage limits for your Didacte organization
get_course_details
Get detailed settings and information for a specific course
get_user_learning_profile
Get full profile and summary for a specific user
list_active_learning_progress
Identify enrollments where learners have made recent progress (mock logic)
list_course_curriculum
List all lessons and modules within a specific course
list_course_enrollments
List all users currently enrolled in a specific course
list_lms_courses
List all available courses in your Didacte organization
list_organization_users
List all users and learners registered in your organization
list_user_enrollments
List all courses a specific user is enrolled in
search_courses_by_title
Search for a course using a title keyword
Example Prompts for Didacte in AutoGen
Ready-to-use prompts you can give your AutoGen agent to start working with Didacte immediately.
"List all active courses in our portal."
"What is the progress for user 'Alice Johnson' in the 'Compliance' course?"
"Search for courses related to 'Leadership'."
Troubleshooting Didacte MCP Server with AutoGen
Common issues when connecting Didacte to AutoGen through the Vinkius, and how to resolve them.
McpWorkbench not found
pip install "autogen-ext[mcp]"Didacte + AutoGen FAQ
Common questions about integrating Didacte 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 Didacte 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 Didacte to AutoGen
Get your token, paste the configuration, and start using 10 tools in under 2 minutes. No API key management needed.