io.github.ahmedEid1/lumen MCP Server
Self-hostable agentic-AI LMS that provides cataloging and a RAG tutor. It includes FSRS reviews, AI authoring, and ingest functionality. The implementation stack includes Python, FastAPI, Celery, Docker, Next.js/TypeScript, and Postgres with pgvector. It also targets evaluation and observability.
🛠️ Key Features
- Catalog
- RAG tutor
- FSRS reviews
- AI authoring
- Ingest
🚀 Use Cases
- LMS course catalog and tutoring
- Retrieval-augmented AI assistance for learning
- Spaced repetition review workflows (FSRS)
- Authoring and ingesting learning content
⚡ Developer Benefits
- Python-based development with FastAPI
- Celery and Docker for background jobs and deployment
- Postgres + pgvector for RAG storage
- Supports evals and LLM-as-judge
- Includes observability and evaluation tooling themes
⚠️ Limitations
- No additional tool count or specific MCP tool details were provided in the available server data.