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 CrewAI 9 tools — connect in under 2 minutes

Name: OpenClassrooms
Availability: InStock
Author: Vinkius

docs.crewai.com/mcp/overview

Built by Vinkius GDPR 9 Tools Framework

Connect your CrewAI agents to OpenClassrooms through Vinkius, pass the Edge URL in the `mcps` parameter and every OpenClassrooms tool is auto-discovered at runtime. No credentials to manage, no infrastructure to maintain.

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

from crewai import Agent, Task, Crew

agent = Agent(
    role="OpenClassrooms Specialist",
    goal="Help users interact with OpenClassrooms effectively",
    backstory=(
        "You are an expert at leveraging OpenClassrooms tools "
        "for automation and data analysis."
    ),
    # Your Vinkius token. get it at cloud.vinkius.com
    mcps=["https://edge.vinkius.com/[YOUR_TOKEN_HERE]/mcp"],
)

task = Task(
    description=(
        "Explore all available tools in OpenClassrooms "
        "and summarize their capabilities."
    ),
    agent=agent,
    expected_output=(
        "A detailed summary of 9 available tools "
        "and what they can do."
    ),
)

crew = Crew(agents=[agent], tasks=[task])
result = crew.kickoff()
print(result)

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.

When paired with CrewAI, OpenClassrooms becomes a first-class tool in your multi-agent workflows. Each agent in the crew can call OpenClassrooms tools autonomously, one agent queries data, another analyzes results, a third compiles reports, all orchestrated through Vinkius with zero configuration overhead.

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 CrewAI 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 CrewAI via MCP

Follow these steps to integrate the OpenClassrooms MCP Server with CrewAI.

Install CrewAI

Run pip install crewai

Replace the token

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

Customize the agent

Adjust the role, goal, and backstory to fit your use case

Run the crew

Run python crew.py. CrewAI auto-discovers 9 tools from OpenClassrooms

Why Use CrewAI with the OpenClassrooms MCP Server

CrewAI Multi-Agent Orchestration Framework provides unique advantages when paired with OpenClassrooms through the Model Context Protocol.

Multi-agent collaboration lets you decompose complex workflows into specialized roles, one agent researches, another analyzes, a third generates reports, each with access to MCP tools

CrewAI's native MCP integration requires zero adapter code: pass Vinkius Edge URL directly in the `mcps` parameter and agents auto-discover every available tool at runtime

Built-in task delegation and shared memory mean agents can pass context between steps without manual state management, enabling multi-hop reasoning across tool calls

Sequential and hierarchical crew patterns map naturally to real-world workflows: enumerate subdomains → analyze DNS history → check WHOIS records → compile findings into actionable reports

OpenClassrooms + CrewAI Use Cases

Practical scenarios where CrewAI combined with the OpenClassrooms MCP Server delivers measurable value.

Automated multi-step research: a reconnaissance agent queries OpenClassrooms for raw data, then a second analyst agent cross-references findings and flags anomalies. all without human handoff

Scheduled intelligence reports: set up a crew that periodically queries OpenClassrooms, analyzes trends over time, and generates executive briefings in markdown or PDF format

Multi-source enrichment pipelines: chain OpenClassrooms tools with other MCP servers in the same crew, letting agents correlate data across multiple providers in a single workflow

Compliance and audit automation: a compliance agent queries OpenClassrooms against predefined policy rules, generates deviation reports, and routes findings to the appropriate team

OpenClassrooms MCP Tools for CrewAI (9)

These 9 tools become available when you connect OpenClassrooms to CrewAI 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 CrewAI

Ready-to-use prompts you can give your CrewAI 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 CrewAI

Common issues when connecting OpenClassrooms to CrewAI through the Vinkius, and how to resolve them.

MCP tools not discovered

Ensure the Edge URL is correct. CrewAI connects lazily when the crew starts. check console output.

Agent not using tools

Make the task description specific. Instead of "do something", say "Use the available tools to list contacts".

Timeout errors

CrewAI has a 10s connection timeout by default. Ensure your network can reach the Edge URL.

Rate limiting or 429 errors

Vinkius enforces per-token rate limits. Check your subscription tier and request quota in the dashboard. Upgrade if you need higher throughput.

OpenClassrooms + CrewAI FAQ

Common questions about integrating OpenClassrooms MCP Server with CrewAI.

How does CrewAI discover and connect to MCP tools?

CrewAI connects to MCP servers lazily. when the crew starts, each agent resolves its MCP URLs and fetches the tool catalog via the standard tools/list method. This means tools are always fresh and reflect the server's current capabilities. No tool schemas need to be hardcoded.

Can different agents in the same crew use different MCP servers?

Yes. Each agent has its own mcps list, so you can assign specific servers to specific roles. For example, a reconnaissance agent might use a domain intelligence server while an analysis agent uses a vulnerability database server.

What happens when an MCP tool call fails during a crew run?

CrewAI wraps tool failures as context for the agent. The LLM receives the error message and can decide to retry with different parameters, fall back to a different tool, or mark the task as partially complete. This resilience is critical for production workflows.

Can CrewAI agents call multiple MCP tools in parallel?

CrewAI agents execute tool calls sequentially within a single reasoning step. However, you can run multiple agents in parallel using process=Process.parallel, each calling different MCP tools concurrently. This is ideal for workflows where separate data sources need to be queried simultaneously.

Can I run CrewAI crews on a schedule (cron)?

Yes. CrewAI crews are standard Python scripts, so you can invoke them via cron, Airflow, Celery, or any task scheduler. The crew.kickoff() method runs synchronously by default, making it straightforward to integrate into existing pipelines.