EduPilot
A multi-agent AI tutor that delivers personalized lessons, resolves doubts with RAG, generates quizzes, and tracks progress, all accessible via MCP for Claude Desktop.
README
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🚀 EduPilot: Next-Gen AI Tutor Ecosystem
A Production-Ready, Multi-Agent Orchestration Engine built on the Model Context Protocol (MCP)
Delivering hyper-personalized, adaptive, and interactive learning experiences at scale.
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🌎 The Vision
Traditional education scales poorly. Static curricula fail to adapt, and single-prompt LLMs lack the memory, pedagogical structure, and safety required for true learning.
EduPilot solves this by leveraging a decentralized Multi-Agent architecture. Instead of relying on a single omniscient LLM, we use LangGraph to act as a routing supervisor state-machine. It dynamically intercepts natural language intents and routes tasks to highly specialized, goal-oriented CrewAI expert agents. The result? A fully autonomous digital tutor that maintains permanent state, consults real textbooks via Vector RAG, and serves everything seamlessly over the newly minted Model Context Protocol (MCP).
⚡ The Tech Stack
We don't do monolithic architectures here. This is a modular, event-driven orchestration stack:
- Orchestration Layer:
LangGraph(Supervisor State Machine) - Agent Intelligence:
CrewAI&LangChain(Lesson Planner, Doubt Resolver, Quiz Generator) - Knowledge Retrieval & RAG:
ChromaDB(Local Embeddings for ultra-low latency contextual retrieval) - State & Memory Persistence:
SQLite(Native Offline Storage for longitudinal mastery mapping) - API & Extensibility:
FastAPI(REST endpoints) +FastMCP(Claude Desktop Integration) - Frontend App: Zero-dependency Vanilla HTML/CSS/JS (Glassmorphism Dark Mode)
🧠 The Agent Force
| Microservice Agent | Primary Responsibility | Associated Capabilities |
|---|---|---|
| 👑 The Orchestrator | Traffic Controller: Ingests the task limitlessly, classifies the semantic intent, fetches SQLite mastery memory, and routes to the correct Crew. | Routing, State Augmentation, Guardrails |
| 🧑🏫 Lesson Personalizer | Dynamic Curriculum: Composes 5E-Model tailored lesson plans dynamically adjusted for the student's exact learning style (Visual, Auditory, Kinesthetic) and age. | Bloom's Taxonomy Scaling, Adaptive Difficulty |
| 🛡️ Doubt Resolver | RAG Explainer: Triggers a Vector DB retrieval across curriculum textbooks to answer questions accurately without hallucinating non-school-board facts. | ChromaDB, Pinecone, Misconception Bridging |
| 📝 Quiz Generator | Assessment: Generates precise, misconception-targeted distractors for MCQs. | Formative Assessment |
| 📊 Progress Tracker | Memory Core: Parses session outputs and permanently updates student mastery levels (0-100) inside the persistent SQLite memory layer. | Spaced Repetition Data, Database Hydration |
📦 Quick Start Installation
Get up and running in your local dev environment in under 60 seconds.
1. Clone & Set up the Virtual Environment
python -m venv venv
source venv/bin/activate # On Windows: .\venv\Scripts\Activate.ps1
2. Hydrate Dependencies
pip install -r requirements.txt
3. Inject Environment Keys
Copy .env.example to .env and configure your foundation model provider (Anthropic is recommended for reasoning, OpenAI for generation):
ANTHROPIC_API_KEY="sk-ant-..."
OPENAI_API_KEY="sk-proj-..."
🎯 Running The Platform
EduPilot is designed to run anywhere. Choose your preferred interaction method:
Method A: The Interactive Web App (Recommended)
Boot the REST backend:
uvicorn main:app --reload --host 0.0.0.0 --port 8000
Then simply double-click frontend/index.html on your local machine to launch our completely decoupled, zero-build-step, ultra-premium chat interface.
Method B: Native MCP Integration (Claude Desktop)
Because EduPilot is an official MCP Server, you can pipe the agent orchestrator directly into Claude!
Simply modify your claude_desktop_config.json file:
{
"mcpServers": {
"edu-pilot-agent": {
"command": "C:/path/to/venv/Scripts/python.exe",
"args": ["C:/path/to/mcp_server.py"]
}
}
}
Note: Make sure to point to the absolute path of the python.exe inside your virtual environment so dependencies resolve properly!
Method C: The MCP Inspector
Want to hit the bare-metal MCP tools locally?
npx @modelcontextprotocol/inspector .\venv\Scripts\python.exe mcp_server.py
Built with ❤️ for the future of AGI-driven education.
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