tutor-mcp
Reduces onboarding friction and knowledge gaps by embedding evidence-based tutoring directly into LLM workflows, lowering training costs and accelerating tim…
An open-source MCP server that turns any LLM into an Intelligent Tutoring System. 50 years of cognitive science, MIT licensed.
- Ask Claude to explain a coding concept using Socratic questioning instead of direct answers.
- Generate personalized programming exercises that adapt to a developer's current skill level.
- Automate feedback loops on code submissions with hints rather than full solutions.
Reduces onboarding friction and knowledge gaps by embedding evidence-based tutoring directly into LLM workflows, lowering training costs and accelerating time-to-productivity for engineering teams.
Engineering organizations scaling technical training programs and needing adaptive, personalized learning integrated into development environments.
https://github.com/ArnaudGuiovanna/tutor-mcp
By ArnaudGuiovanna
How to Get It
claude mcp add tutor-mcp -- npx -y tutor-mcp
Tip: Paste this into a Claude Code conversation. Verify command matches your Claude Code version.
Auto-generated from the tool's public listing — not hands-on verified. Cross-check against the source repo's README before running.
Once it’s connected, paste this into Claude:
Explain a coding concept using Socratic questioning instead of direct answers
Trust Signals Auto-scanned
Data & Access
Community Pulse Emerging
Discussed on Hacker News
- Tutor-MCP – An adaptive learning engine for any subject — Hacker News · 1 pts
1 mentions across 1 sources
Reviewer notes
Auto-scanned review. These are observations, not a security certification.
Scored from trust signals (evidence-eval-v1): 42 GitHub stars; contributors unknown; last commit 0d ago; license MIT.
Things to check
- Scanned, not hands-on tested — this entry was auto-scanned from public metadata (GitHub metrics, license, security flags). No reviewer has run it, and no tool-specific limitations have been documented yet.
How to evaluate tools before deploying →
Data shown here comes from public APIs and automated scanning. Reviewer notes reflect one person's experience. This is not a security certification or legal recommendation. Always evaluate tools according to your own organization's policies.
Evaluation
Scored from trust signals (evidence-eval-v1): 42 GitHub stars; contributors unknown; last commit 0d ago; license MIT.