Model Context Protocol (MCP) for EdTech

Welcome to the MCP EdTech Demo

This demo showcases the Model Context Protocol (MCP) implementation for educational technology applications. MCP provides a standardized way for EdTech applications to interact with various AI models while maintaining context and state across interactions.

Key features of this implementation:

• Context management for stateful conversations
• Student profile management
• Learning progress tracking
• Content adaptation based on student profiles
• Assessment and feedback systems

Try the MCP API

1. Create a Context

First, let's create a new context for our interaction:

Create Context

2. Process an Interaction

Now, let's process an interaction using the context we created:

Process Interaction

Available Endpoints

• Interaction
  • POST /interact - Process an interaction
• Student Profiles
  • POST /students - Create student profile
  • GET /students/{student_id} - Get student information
  • PUT /students/{student_id} - Update student information
• Content Adaptation
  • POST /content/adapt - Adapt content for a student
• Models
  • GET /models - List available models
  • GET /models/{model_name}/capabilities - Get model capabilities

For complete API documentation, visit the Swagger UI or ReDoc pages.