ai-flashmob-mcp/index.js

MCP server for AI-powered flashcard generation

#!/usr/bin/env node

/**
 * Flashcard Generator MCP Server
 * 
 * This Model Context Protocol (MCP) server provides tools for generating
 * AI-powered flashcards from text or images using the AI Flashmob backend.
 * 
 * Usage:
 * - Configure with your PUBLIC_USER_ID and SECRET_KEY
 * - Connect to Claude Desktop or other MCP-compatible clients
 * - Use flashcard generation and management tools
 */

import { Server } from '@modelcontextprotocol/sdk/server/index.js';
import { StdioServerTransport } from '@modelcontextprotocol/sdk/server/stdio.js';
import { 
  CallToolRequestSchema,
  ErrorCode,
  ListToolsRequestSchema,
  McpError,
} from '@modelcontextprotocol/sdk/types.js';

import { FlashcardGenerator } from './tools/flashcard-generator.js';
import { FlashcardManager } from './tools/flashcard-manager.js';

class FlashcardMcpServer {
  constructor() {
    this.server = new Server(
      {
        name: 'ai-flashmob-mcp',
        version: '0.0.1',
      },
      {
        capabilities: {
          tools: {},
        },
      }
    );

    this.flashcardGenerator = new FlashcardGenerator();
    this.flashcardManager = new FlashcardManager();
    this.setupToolHandlers();
  }

  setupToolHandlers() {
    // List available tools
    this.server.setRequestHandler(ListToolsRequestSchema, async () => {
      return {
        tools: [
          {
            name: 'generate_flashcards_from_text',
            description: 'Generate AI flashcards from text content. Creates educational flashcards and saves them to your account.',
            inputSchema: {
              type: 'object',
              properties: {
                text: {
                  type: 'string',
                  description: 'The text content to generate flashcards from (10-4000 characters)',
                  minLength: 10,
                  maxLength: 4000
                },
                maxCards: {
                  type: 'integer',
                  description: 'Maximum number of flashcards to generate (1-10)',
                  minimum: 1,
                  maximum: 10,
                  default: 5
                },
                deckId: {
                  type: 'integer',
                  description: 'Optional deck ID to organize the flashcards',
                  minimum: 1
                }
              },
              required: ['text']
            }
          },
          {
            name: 'generate_flashcards_from_image',
            description: 'Generate AI flashcards from image content. Analyzes visual content and creates educational flashcards.',
            inputSchema: {
              type: 'object',
              properties: {
                image: {
                  type: 'string',
                  description: 'Base64-encoded image data (with or without data URL prefix)'
                },
                imageFormat: {
                  type: 'string',
                  description: 'Image format (png, jpeg, jpg, webp)',
                  enum: ['png', 'jpeg', 'jpg', 'webp'],
                  default: 'png'
                },
                maxCards: {
                  type: 'integer',
                  description: 'Maximum number of flashcards to generate (1-10)',
                  minimum: 1,
                  maximum: 10,
                  default: 5
                },
                deckId: {
                  type: 'integer',
                  description: 'Optional deck ID to organize the flashcards',
                  minimum: 1
                }
              },
              required: ['image']
            }
          },
          {
            name: 'get_decks',
            description: 'Get all decks for the authenticated user. Shows deck details including flashcard counts.',
            inputSchema: {
              type: 'object',
              properties: {},
              additionalProperties: false
            }
          },
          {
            name: 'get_deck_cards',
            description: 'Get all flashcards from a specific deck. Shows detailed flashcard content and study progress.',
            inputSchema: {
              type: 'object',
              properties: {
                deckId: {
                  type: 'integer',
                  description: 'The ID of the deck to get flashcards from',
                  minimum: 1
                }
              },
              required: ['deckId']
            }
          }
        ]
      };
    });

    // Handle tool calls
    this.server.setRequestHandler(CallToolRequestSchema, async (request) => {
      const { name, arguments: args } = request.params;

      try {
        switch (name) {
          case 'generate_flashcards_from_text':
            return await this.flashcardGenerator.generateFromText(args);
            
          case 'generate_flashcards_from_image':
            return await this.flashcardGenerator.generateFromImage(args);
            
          case 'get_decks':
            return await this.flashcardManager.getDecks(args);
            
          case 'get_deck_cards':
            return await this.flashcardManager.getDeckCards(args);
            
          default:
            throw new McpError(
              ErrorCode.MethodNotFound,
              `Unknown tool: ${name}`
            );
        }
      } catch (error) {
        // If it's already an McpError, re-throw it
        if (error instanceof McpError) {
          throw error;
        }

        // Convert other errors to McpError
        throw new McpError(
          ErrorCode.InternalError,
          `Tool execution failed: ${error.message}`
        );
      }
    });
  }

  async run() {
    const transport = new StdioServerTransport();
    await this.server.connect(transport);
    
    // Log startup message to stderr (won't interfere with MCP protocol)
    console.error('🤖 AI Flashmob MCP Server started');
    console.error('📚 Ready to generate and manage AI-powered flashcards!');
    console.error('🔑 Make sure PUBLIC_USER_ID and SECRET_KEY environment variables are set');
    console.error('🛠️  Available tools: generate_flashcards_from_text, generate_flashcards_from_image, get_decks, get_deck_cards');
  }
}

// Configuration validation
function validateConfig() {
  const requiredVars = ['PUBLIC_USER_ID', 'SECRET_KEY'];
  const missing = requiredVars.filter(varName => !process.env[varName]);
  
  if (missing.length > 0) {
    console.error('❌ Missing required environment variables:', missing.join(', '));
    console.error('📝 Please set these variables before starting the MCP server:');
    console.error('   export PUBLIC_USER_ID="your-public-user-id"');
    console.error('   export SECRET_KEY="your-secret-key"');
    console.error('   export API_BASE_URL="https://your-api.com" # Optional, defaults to https://api.ai-flashmob.com');
    process.exit(1);
  }

  // Validate format
  if (process.env.SECRET_KEY.length !== 64) {
    console.error('❌ SECRET_KEY should be 64 characters long');
    process.exit(1);
  }

  // Log configuration (without sensitive data)
  console.error('✅ Configuration validated');
  console.error(`🆔 Public User ID: ${process.env.PUBLIC_USER_ID}`);
  console.error(`🔐 Secret Key: ${process.env.SECRET_KEY.substring(0, 8)}...`);
  console.error(`🌐 API Base URL: ${process.env.API_BASE_URL || 'https://api.ai-flashmob.com'}`);
}

// Error handling for unhandled rejections
process.on('unhandledRejection', (reason, promise) => {
  console.error('Unhandled Rejection at:', promise, 'reason:', reason);
  process.exit(1);
});

process.on('uncaughtException', (error) => {
  console.error('Uncaught Exception:', error);
  process.exit(1);
});

// Main execution
async function main() {
  validateConfig();
  
  const server = new FlashcardMcpServer();
  await server.run();
}

// Start the server
main().catch((error) => {
  console.error('Failed to start MCP server:', error);
  process.exit(1);
});