Can I track completion rates across my entire team at once?

Yes. List all students associated with your partner API key, then ask your agent to summarize each student's completion percentage and pending projects. Get a full team progress report in a single conversation — no spreadsheets, no manual exports from the OpenClassrooms dashboard.

What data do I get about mentoring sessions?

The agent pulls session date, time, mentor name, session status (completed, scheduled, or missed), and the student linked to each session. This is useful for auditing mentorship quality and identifying students who are missing their scheduled sessions.

Is this API available to everyone or only to OpenClassrooms partners?

The OpenClassrooms API is restricted to approved partners. You need an active partnership agreement with OpenClassrooms to obtain production API credentials. If you're already a partner, your account manager can provide the API key. This integration is designed for organizations using OpenClassrooms for team training.

OpenClassrooms MCP Server for OpenAI Agents SDK 9 tools — connect in under 2 minutes

Name: OpenClassrooms
Availability: InStock
Author: Vinkius

openai.github.io/openai-agents-python/mcp

Built by Vinkius GDPR 9 Tools SDK

The OpenAI Agents SDK enables production-grade agent workflows in Python. Connect OpenClassrooms through Vinkius and your agents gain typed, auto-discovered tools with built-in guardrails. no manual schema definitions required.

Get MCP Server for AI Agents

ASK AI ABOUT THIS MCP SERVER

Open in ChatGPT Open in Claude Open in Perplexity

Vinkius supports streamable HTTP and SSE.

python

import asyncio
from agents import Agent, Runner
from agents.mcp import MCPServerStreamableHttp

async def main():
    # Your Vinkius token. get it at cloud.vinkius.com
    async with MCPServerStreamableHttp(
        url="https://edge.vinkius.com/[YOUR_TOKEN_HERE]/mcp"
    ) as mcp_server:

        agent = Agent(
            name="OpenClassrooms Assistant",
            instructions=(
                "You help users interact with OpenClassrooms. "
                "You have access to 9 tools."
            ),
            mcp_servers=[mcp_server],
        )

        result = await Runner.run(
            agent, "List all available tools from OpenClassrooms"
        )
        print(result.final_output)

asyncio.run(main())

Fully ManagedVinkius Servers

60%Token savings

High SecurityEnterprise-grade

IAMAccess control

EU AI ActCompliant

DLPData protection

V8 IsolateSandboxed

Ed25519Audit chain

<40msKill switch

Stream every event to Splunk, Datadog, or your own webhook in real-time

* 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 OpenClassrooms MCP Server

Connect your OpenClassrooms partner account to any AI agent and get full visibility into courses, student progress, and diploma paths — all through natural conversation.

The OpenAI Agents SDK auto-discovers all 9 tools from OpenClassrooms through native MCP integration. Build agents with built-in guardrails, tracing, and handoff patterns. chain multiple agents where one queries OpenClassrooms, another analyzes results, and a third generates reports, all orchestrated through Vinkius.

What you can do

Course Catalog — List available courses, search by keyword (React, Python, Data Science), and view detailed syllabi with skill competencies
Diploma Paths — Browse career-focused paths with all required courses, projects, and estimated completion times
Student Tracking — List enrolled students under your partner account and check individual progress including project validations and completion percentages
Mentoring Sessions — View past and upcoming mentoring sessions with session dates, mentors, and status
Certificates — Retrieve verified completion certificates for any student with public verification IDs

The OpenClassrooms MCP Server exposes 9 tools through the Vinkius. Connect it to OpenAI Agents SDK 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 OpenClassrooms to OpenAI Agents SDK via MCP

Follow these steps to integrate the OpenClassrooms MCP Server with OpenAI Agents SDK.

Install the SDK

Run pip install openai-agents in your Python environment

Replace the token

Replace [YOUR_TOKEN_HERE] with your Vinkius token from cloud.vinkius.com

Run the script

Save the code above and run it: python agent.py

Explore tools

The agent will automatically discover 9 tools from OpenClassrooms

Why Use OpenAI Agents SDK with the OpenClassrooms MCP Server

OpenAI Agents SDK provides unique advantages when paired with OpenClassrooms through the Model Context Protocol.

Native MCP integration via `MCPServerSse`, pass the URL and the SDK auto-discovers all tools with full type safety

Built-in guardrails, tracing, and handoff patterns let you build production-grade agents without reinventing safety infrastructure

Lightweight and composable: chain multiple agents and MCP servers in a single pipeline with minimal boilerplate

First-party OpenAI support ensures optimal compatibility with GPT models for tool calling and structured output

OpenClassrooms + OpenAI Agents SDK Use Cases

Practical scenarios where OpenAI Agents SDK combined with the OpenClassrooms MCP Server delivers measurable value.

Automated workflows: build agents that query OpenClassrooms, process the data, and trigger follow-up actions autonomously

Multi-agent orchestration: create specialist agents. one queries OpenClassrooms, another analyzes results, a third generates reports

Data enrichment pipelines: stream data through OpenClassrooms tools and transform it with OpenAI models in a single async loop

Customer support bots: agents query OpenClassrooms to resolve tickets, look up records, and update statuses without human intervention

OpenClassrooms MCP Tools for OpenAI Agents SDK (9)

These 9 tools become available when you connect OpenClassrooms to OpenAI Agents SDK via MCP:

certificats_etudiant

Consulter les certificats de réussite obtenus par un étudiant

consulter_cours

Consulter le détail profond d'un cours spécifique

consulter_parcours

Consulter la taxonomie détaillée d'un parcours diplômant spécifique

lister_cours

Lister les cours disponibles sur OpenClassrooms (Pagination active)

lister_etudiants

Lister les étudiants inscrits sous cette clé d'API (Partenaires)

lister_parcours

Lister l'intégralité des parcours diplômants OpenClassrooms

progression_etudiant

Consulter la progression précise d'un étudiant métier

rechercher_cours

Rechercher des cours OpenClassrooms dynamiquement par mots-clés

sessions_mentorat

Lister les sessions de mentorat vidéo programmées

Example Prompts for OpenClassrooms in OpenAI Agents SDK

Ready-to-use prompts you can give your OpenAI Agents SDK agent to start working with OpenClassrooms immediately.

"Search for courses about Python data analysis."

"How is Maria Silva progressing in her diploma path?"

"Which students have earned certificates this month?"

Troubleshooting OpenClassrooms MCP Server with OpenAI Agents SDK

Common issues when connecting OpenClassrooms to OpenAI Agents SDK through the Vinkius, and how to resolve them.

MCPServerStreamableHttp not found

Ensure you have the latest version: pip install --upgrade openai-agents

Agent not calling tools

Make sure your prompt explicitly references the task the tools can help with.

OpenClassrooms + OpenAI Agents SDK FAQ

Common questions about integrating OpenClassrooms MCP Server with OpenAI Agents SDK.

How does the OpenAI Agents SDK connect to MCP?

Use MCPServerSse(url=...) to create a server connection. The SDK auto-discovers all tools and makes them available to your agent with full type information.