OpenClassrooms MCP Server for LlamaIndex 9 tools — connect in under 2 minutes
LlamaIndex specializes in data-aware AI agents that connect LLMs to structured and unstructured sources. Add OpenClassrooms as an MCP tool provider through Vinkius and your agents can query, analyze, and act on live data alongside your existing indexes.
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import asyncio
from llama_index.tools.mcp import BasicMCPClient, McpToolSpec
from llama_index.core.agent.workflow import FunctionAgent
from llama_index.llms.openai import OpenAI
async def main():
# Your Vinkius token. get it at cloud.vinkius.com
mcp_client = BasicMCPClient("https://edge.vinkius.com/[YOUR_TOKEN_HERE]/mcp")
mcp_tool_spec = McpToolSpec(client=mcp_client)
tools = await mcp_tool_spec.to_tool_list_async()
agent = FunctionAgent(
tools=tools,
llm=OpenAI(model="gpt-4o"),
system_prompt=(
"You are an assistant with access to OpenClassrooms. "
"You have 9 tools available."
),
)
response = await agent.run(
"What tools are available in OpenClassrooms?"
)
print(response)
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 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.
LlamaIndex agents combine OpenClassrooms tool responses with indexed documents for comprehensive, grounded answers. Connect 9 tools through Vinkius and query live data alongside vector stores and SQL databases in a single turn. ideal for hybrid search, data enrichment, and analytical workflows.
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 LlamaIndex 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 LlamaIndex via MCP
Follow these steps to integrate the OpenClassrooms MCP Server with LlamaIndex.
Install dependencies
Run pip install llama-index-tools-mcp llama-index-llms-openai
Replace the token
Replace [YOUR_TOKEN_HERE] with your Vinkius token
Run the agent
Save to agent.py and run: python agent.py
Explore tools
The agent discovers 9 tools from OpenClassrooms
Why Use LlamaIndex with the OpenClassrooms MCP Server
LlamaIndex provides unique advantages when paired with OpenClassrooms through the Model Context Protocol.
Data-first architecture: LlamaIndex agents combine OpenClassrooms tool responses with indexed documents for comprehensive, grounded answers
Query pipeline framework lets you chain OpenClassrooms tool calls with transformations, filters, and re-rankers in a typed pipeline
Multi-source reasoning: agents can query OpenClassrooms, a vector store, and a SQL database in a single turn and synthesize results
Observability integrations show exactly what OpenClassrooms tools were called, what data was returned, and how it influenced the final answer
OpenClassrooms + LlamaIndex Use Cases
Practical scenarios where LlamaIndex combined with the OpenClassrooms MCP Server delivers measurable value.
Hybrid search: combine OpenClassrooms real-time data with embedded document indexes for answers that are both current and comprehensive
Data enrichment: query OpenClassrooms to augment indexed data with live information before generating user-facing responses
Knowledge base agents: build agents that maintain and update knowledge bases by periodically querying OpenClassrooms for fresh data
Analytical workflows: chain OpenClassrooms queries with LlamaIndex's data connectors to build multi-source analytical reports
OpenClassrooms MCP Tools for LlamaIndex (9)
These 9 tools become available when you connect OpenClassrooms to LlamaIndex 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 LlamaIndex
Ready-to-use prompts you can give your LlamaIndex 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 LlamaIndex
Common issues when connecting OpenClassrooms to LlamaIndex through the Vinkius, and how to resolve them.
BasicMCPClient not found
pip install llama-index-tools-mcpOpenClassrooms + LlamaIndex FAQ
Common questions about integrating OpenClassrooms MCP Server with LlamaIndex.
How does LlamaIndex connect to MCP servers?
Can I combine MCP tools with vector stores?
Does LlamaIndex support async MCP calls?
Connect OpenClassrooms 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 OpenClassrooms to LlamaIndex
Get your token, paste the configuration, and start using 9 tools in under 2 minutes. No API key management needed.