How to Use the Didacte MCP in AutoGen

Let your AutoGen multi-agent system debate and execute Didacte LMS tasks with consensus-driven logic.

See Vinkius in Action

Works with every AI agent you already use

…and any MCP-compatible client

MCP Servers - Free for Subscribers

Connect Didacte MCP to AutoGen

Create your Vinkius account to connect Didacte to AutoGen and route execution through our secure gateway. The platform manages server hosting, runtime updates, and security layers. Configuration requires no manual server provisioning.

GDPR Free for Subscribers

Setup Didacte with AutoGen

Ask AI about this MCP

ChatGPT

Claude

Perplexity

Debate enrollment decisions

Assign one agent to check availability via `list_lms_courses` and another to verify prerequisites using `get_course_details`. They compare findings before proceeding. This conflict resolution prevents errors. If the agents disagree on a candidate's eligibility, they continue the conversation until they reach a valid conclusion.

Negotiate learner intervention paths

One agent monitors `list_active_learning_progress` while a second agent evaluates the `get_user_learning_profile`. They discuss the best way to support the learner. Their debate ensures that interventions are appropriate. The system avoids spamming users by requiring consensus from both the performance agent and the support agent.

Manage organization-wide updates

Deploy a team of agents to reconcile `list_organization_users` with existing enrollments. They work together to identify gaps in your training coverage. By delegating these tasks, you scale your LMS administration. The agents handle the repetitive verification steps while you review the final plan they agree upon.

Setup guide

Set up Didacte MCP in AutoGen

Prerequisites

Python 3.10+ installed
autogen-ext[mcp] package
Active Vinkius subscription with a valid endpoint token

1

Install AutoGen with MCP
Run pip install "autogen-ext[mcp]" autogen-agentchat. The MCP extension includes mcp_server_tools for stateless tool access.
2

Fetch tools from the MCP
Call mcp_server_tools(SseServerParams(url=...)) with your Vinkius endpoint. Replace [YOUR_TOKEN_HERE] with your token from cloud.vinkius.com.
3

Run your agent
Pass the tools to AssistantAgent and call agent.run(). The agent invokes Didacte tools and returns structured results.

agent.py

from autogen_ext.tools.mcp import SseServerParams, mcp_server_tools
from autogen_agentchat.agents import AssistantAgent
from autogen_ext.models.openai import OpenAIChatCompletionClient

server_params = SseServerParams(
    url="https://edge.vinkius.com/[YOUR_TOKEN_HERE]/mcp"
)

tools = await mcp_server_tools(server_params)

agent = AssistantAgent(
    name="Didacte_assistant",
    model_client=OpenAIChatCompletionClient(model="gpt-4o"),
    tools=tools,
)

result = await agent.run("List recent Didacte data")
print(result.messages[-1].content)

Get your connection token →

Prerequisites

Python 3.10+ installed
autogen-ext[mcp] + autogen-agentchat
Active Vinkius subscription with a valid endpoint token

1

Install dependencies
Same packages as above. McpWorkbench is ideal when your agent needs stateful sessions across multiple tool calls.
2

Use McpWorkbench as context manager
Wrap your agent in async with McpWorkbench(...) to maintain shared state and resources. The workbench manages the full MCP session lifecycle.
3

Run with workbench
Pass workbench=workbench to your agent. State is preserved across multiple tool calls within the same session.

agent.py

from autogen_ext.tools.mcp import McpWorkbench, SseServerParams
from autogen_agentchat.agents import AssistantAgent
from autogen_ext.models.openai import OpenAIChatCompletionClient

server_params = SseServerParams(
    url="https://edge.vinkius.com/[YOUR_TOKEN_HERE]/mcp"
)

async with McpWorkbench(server_params) as workbench:
    agent = AssistantAgent(
        name="Didacte_assistant",
        model_client=OpenAIChatCompletionClient(model="gpt-4o"),
        workbench=workbench,
    )

    result = await agent.run("List recent Didacte data")
    print(result.messages[-1].content)

Get your connection token →

Independent Platform Disclaimer: Vinkius is an independent platform and is not affiliated with, endorsed by, sponsored by, verified by, or otherwise authorized by Didacte. All third-party trademarks, logos, and brand names are the property of their respective owners. Their use on this website is strictly for informational purposes to identify service compatibility and interoperability.

Why Choose Vinkius

Vinkius connects your tools to AI with real-time monitoring and automatic cost savings — all from one dashboard.

Connect Didacte now

Real-time monitoring

Live

visibility into every interaction

Connect your favorite tools to your AI and see exactly what's happening — every request, every response, in real time.

Built-in savings

60%

lower AI costs

Vinkius compresses data between your apps and your AI automatically. Lower bills every month — no configuration required.

Single dashboard

One

place for every integration

Every tool your AI connects to, managed from a single screen. One account, complete control.

Common questions about Didacte MCP in AutoGen

Use the McpToolAdapter to register the server tools. Once registered, you pass the list to your AssistantAgent constructor to let the agents access the LMS.

Yes. Agents in the same conversation group share the context generated by tool calls, allowing them to build a collective understanding of your Didacte environment.

The MCP server is stateless, meaning multiple agents can query it concurrently. Just ensure your API token has sufficient permissions for all participating agents.

Define clear system prompts for your agents. You can also monitor tool usage via the AutoGen event loop to ensure they stick to the budget retrieved by `get_account_metadata`.

Security is enforced at the server level. Only agents you explicitly grant access to the `list_organization_users` tool will ever see your directory, and all communication is encrypted.

Use it with your favorite AI tools

Connect this server to Cursor, Claude, VS Code, and more.

OpenAI Agents SDK sdk-python

Google ADK sdk-python

Pydantic AI sdk-python

Vercel AI SDK sdk-typescript