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How to Use the Didacte MCP in OpenAI Agents SDK

Directly manage your Didacte LMS data inside the OpenAI Agents SDK with automated tool discovery and safety guardrails.

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Works with every AI agent you already use

…and any MCP-compatible client

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OpenAI Agents SDK

Connect Didacte MCP to OpenAI Agents SDK

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

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Full visibility into Didacte course data

Your agent pulls course catalogs and curriculum structures instantly. Use `list_lms_courses` and `list_course_curriculum` to map out training paths without leaving your Python environment. Everything stays within your agent's context window. You'll get precise data on lesson modules, allowing for automated reporting and gap analysis across your entire organization.

Automated learner progress tracking

Identify which employees are active by querying `list_active_learning_progress`. The agent filters through enrollment data to highlight who is making headway and who needs a nudge. This MCP Server provides the raw data your agents need to build personalized check-ins. You can trigger these alerts based on real-time completion status rather than manual spreadsheet exports.

Organization-wide user management

Connect your agent to `list_organization_users` and `get_user_learning_profile` to sync your LMS records with internal systems. It handles the heavy lifting of mapping user profiles to specific training requirements. Your agent maintains a clear view of who is enrolled where. By calling `list_user_enrollments`, you keep your records updated without manual lookup or data entry errors.

Setup guide

Set up Didacte MCP in OpenAI Agents SDK

Prerequisites

  • Python 3.10+ installed
  • openai-agents package (pip install openai-agents)
  • Active Vinkius subscription with a valid endpoint token
  1. 1

    Install the SDK

    Run pip install openai-agents to install the OpenAI Agents SDK. The MCP integration is built-in — no extra dependencies needed.

  2. 2

    Connect via SSE transport

    Use MCPServerSse with your Vinkius endpoint URL. Replace [YOUR_TOKEN_HERE] with your token from cloud.vinkius.com. The SDK auto-discovers all Didacte tools at runtime.

  3. 3

    Create your Agent

    Pass the MCP to Agent(mcp_servers=[server]). The agent receives Didacte tools as native definitions — JSON schemas resolve automatically.

  4. 4

    Run the agent

    Call Runner.run(agent, prompt) to execute. The agent invokes the appropriate Didacte tools and returns structured results. Copy the full example on the right to get started.

agent.py
import asyncio
from agents import Agent, Runner
from agents.mcp import MCPServerSse

async def main():
    async with MCPServerSse(
        url="https://edge.vinkius.com/[YOUR_TOKEN_HERE]/mcp"
    ) as server:
        agent = Agent(
            name="Didacte Agent",
            instructions="You have access to Didacte tools.",
            mcp_servers=[server],
        )
        result = await Runner.run(agent, "List recent transactions")
        print(result.final_output)

asyncio.run(main())

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

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Real-time monitoring

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

Built-in savings

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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 OpenAI Agents SDK

Use the MCPServerStreamableHttp class to point your agent at the Vinkius endpoint. Once you pass it into the agent constructor, the SDK handles the tool discovery automatically.
Yes. Because the tools are registered as native functions, you can wrap them in your existing validation logic. This ensures your agent only executes actions that meet your internal safety standards.
You can certainly use the provided tools to query status and identify gaps. Automating the actual enrollment process depends on the permissions you grant your agent via the Didacte API.
The server manages connection state, but you should implement retry logic in your agent code. Monitor the responses for status codes to ensure you stay within your organization's thresholds.
Your data remains in transit between the Vinkius-hosted server and your local agent. We never store personal learner profiles or training history on our side; it stays in your memory.

Start using the Didacte MCP today

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