** 당신의 인생을 넘어. 학습 커뮤니티를 통해 성장합니다.**

설명 · 데모 · 설치 · Quickstart · 어떻게 작동 · 문서 · 창조자 · 라이센스

묘사

**Tutor MCP는 적응 학습, 자기 학습 및 개인화 된 AI 튜터링을위한 오픈 소스 MCP 엔진입니다. ** 모형 Context 의정서에 건축해, 그것은 과정 창조, 당신의 AI 조수로 구조상 학습 경로 및 진행한 튜터링을 가져옵니다. 주제 및 목표 선택 — 대화 스페인어에서 backend engineering — and build the course that 진화와 함께.

** Tutor ACP와 학습 커뮤니티 구축 ** Windows 클라이언트는 Codex 또는 Claude를 기관의 학습 서비스에 연결합니다. 회원은 하나의 카탈로그에서 공유 프로그램을 찾아 자신의 속도로 배우며 대화와 진행을 돌아갑니다. 소유자는 회원 및 액세스 관리; 저자 및 승인 트레이너는 같은 응용 프로그램에서 프로그램을 유지합니다.

• ** 기관 내에서 공유 프로그램. ** 모든 기관 회원에게 게시하거나 수령인을 초대합니다. Contributions는 사전 검토없이 출판하지 않는 소유자 리뷰를 따르고 해당 프로그램을 승인합니다.

Tutor MCP

Learn throughout your life. Grow through learning communities.

Description · Demo · Installation · Quickstart · How it works · Documentation · Creator · License

Description

Tutor MCP is an open-source MCP engine for adaptive learning, self-learning and personalized AI tutoring. Built on the Model Context Protocol, it brings course creation, a structured learning path and ongoing tutoring into your AI assistant. Choose a subject and a goal — from conversational Spanish to backend engineering — and build a course that evolves with your progress.

Build a learning community with Tutor ACP. The Windows client connects Codex or Claude to your institution’s learning service. Members find shared programmes in one catalogue, learn at their own pace, and return to their conversations and progress. Owners manage membership and access; authors and authorised trainers maintain programmes from the same application.

• Share programmes within an institution. Publish to all institution members or invite named recipients. Contributions follow owner review unless publication without prior review is authorised for that programme. Sharing a personal programme copies its design while keeping conversations and private progress separate.
• Learn and manage from one desktop client. Conversation and Formations bring together tutoring, the programme library, manual or AI-assisted editing, and progress. Dedicated account and settings pages cover agents, institution, members and reading preferences.
• Build a curriculum on any subject. Your AI maps the subject into a skill graph with concepts, prerequisites and goals. Tutor validates and versions that graph as your course develops.
• Follow a guided learning journey. Diagnose your starting point, work through personalized lessons and exercises, revisit weak areas, and test your ability to apply what you learn.
• Get ongoing, personalized guidance. Knowledge estimates, review dates, misconceptions and session memory shape the next activity, across conversations.
• See the evidence behind your progress. Inspect why an activity was recommended and distinguish estimated knowledge, retained learning and demonstrated skills.