An experimental system that transforms documentation repositories into interactive educational content using AI and the Model Context Protocol (MCP).
MCP Tutor connects MCP Tutor to AI assistants that speak the Model Context Protocol. An experimental system that transforms documentation repositories into interactive educational content using AI and the Model Context Protocol (MCP).
An experimental system that transforms documentation repositories into interactive educational content using AI and the Model Context Protocol (MCP).
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{
"mcpServers": {
"educational-tutor": {
"command": "/path/to/tutor/project/.venv/bin/uv",
"args": [
"--directory",
"/path/to/tutor/project",
"run",
"mcp_server/main.py"
],
"env": {
"COURSE_DIR": "/path/to/tutor/project/course_output"
}
}
}
}From the project documentation. Replace placeholders and example paths before connecting.
| Variable | Description | Required |
|---|---|---|
| COURSE_DIR | Declared in the maintainer’s client configuration. | Check documentation |
Enables Large Language Models to interact with Anki flashcard software through AnkiConnect using the Model Context Protocol.
Demonstrates building an AI agent using the Model Context Protocol (MCP) with open LLMs like Meta Llama 3, OpenAI, or Google Gemini, and a SQLite
Manages courses, assignments, enrollments, and grades within Canvas using the Canvas API.
Manage educational context based on courses, assignments, and exams using a knowledge graph.
Source profile for Acornonaut. Its purpose and connection details need verification against the maintainer’s documentation.
Model Context Procotol (MCP) server with tools for Cannabis Datasets.