🔌 Token4Good RGB+Lightning Integration Guide

🚀 Quick Start

Token4Good offers 3 integration levels to fit any technical architecture:

1. 🟢 REST API - Simple HTTP integration
2. 🔵 Native SDK - Rust/JavaScript libraries
3. 🟣 MCP Protocol - AI agent integration

🟢 Level 1: REST API Integration

Prerequisites

• HTTP client (any language)
• Basic understanding of RGB/Lightning concepts
• Token4Good API key (get from dashboard)

Authentication

# All requests require Bearer token
curl -H "Authorization: Bearer YOUR_API_KEY" \
     -H "Content-Type: application/json" \
     https://api.token4good.com/v2/...

Core Endpoints

1. Issue Educational Asset

POST /api/assets/issue/fungible
{
  "name": "Advanced Blockchain Course Token",
  "ticker": "ABC-2024",
  "amount": 100000,
  "precision": 8
}

# Response
{
  "asset": {
    "id": "asset_123",
    "contract_id": "rgb:ABC2024:...",
    "issued_supply": 100000
  },
  "message": "Asset issued successfully"
}

2. Create Educational NFT Certificate

POST /api/assets/issue/nft
{
  "name": "Blockchain Fundamentals Certificate",
  "description": "Completion certificate for 40-hour blockchain course",
  "metadata_uri": "https://yourdomain.com/certificates/metadata/12345.json"
}

3. Process Student Payment

# Step 1: Student creates payment invoice
POST /api/invoices/rgb
{
  "contract_id": "rgb:ABC2024:...",
  "amount": 500,
  "description": "Course enrollment payment",
  "expiry_minutes": 60
}

# Step 2: Platform processes payment
POST /api/assets/transfer
{
  "contract_id": "rgb:ABC2024:...",
  "amount": 500,
  "recipient_invoice": "rgb1qsh...invoice_string"
}

4. Instant Lightning Micropayments

# For real-time content access
POST /api/invoices/lightning
{
  "amount_msats": 1000,
  "description": "Video chapter access",
  "expiry_seconds": 300
}

5. Hybrid Payments (Innovation!)

# Course fee + network costs in one payment
POST /api/invoices/hybrid
{
  "contract_id": "rgb:ABC2024:...",
  "rgb_amount": 500,
  "ln_amount_msats": 10000,
  "description": "Course enrollment + Lightning fees"
}

Integration Examples

JavaScript/Node.js

class Token4GoodClient {
  constructor(apiKey) {
    this.apiKey = apiKey;
    this.baseUrl = 'https://api.token4good.com/v2';
  }

  async enrollStudent(studentId, courseId, paymentAmount) {
    // 1. Create course token if not exists
    const asset = await this.post('/api/assets/issue/fungible', {
      name: `Course ${courseId} Token`,
      ticker: `COURSE-${courseId}`,
      amount: paymentAmount * 100, // Mint enough for all students
      precision: 8
    });

    // 2. Create payment invoice for student
    const invoice = await this.post('/api/invoices/rgb', {
      contract_id: asset.contract_id,
      amount: paymentAmount,
      description: `Enrollment for course ${courseId}`
    });

    // 3. Return invoice to student for payment
    return {
      enrollmentId: `enroll_${studentId}_${courseId}`,
      paymentInvoice: invoice.rgb_invoice,
      expiresAt: invoice.expires_at
    };
  }

  async issueCertificate(studentId, courseId, metadata) {
    const certificate = await this.post('/api/assets/issue/nft', {
      name: `Certificate: ${metadata.courseName}`,
      description: `Completion certificate for student ${studentId}`,
      metadata_uri: `https://yourcdn.com/certificates/${studentId}_${courseId}.json`
    });

    return certificate;
  }

  async post(endpoint, data) {
    const response = await fetch(this.baseUrl + endpoint, {
      method: 'POST',
      headers: {
        'Authorization': `Bearer ${this.apiKey}`,
        'Content-Type': 'application/json'
      },
      body: JSON.stringify(data)
    });
    return response.json();
  }
}

// Usage
const t4g = new Token4GoodClient(process.env.T4G_API_KEY);

// Enroll student
const enrollment = await t4g.enrollStudent('student123', 'blockchain-basics', 1000);

// Issue certificate after completion
const certificate = await t4g.issueCertificate('student123', 'blockchain-basics', {
  courseName: 'Blockchain Basics',
  completedAt: new Date(),
  grade: 'A+'
});

Python

import requests
import json

class Token4GoodClient:
    def __init__(self, api_key):
        self.api_key = api_key
        self.base_url = 'https://api.token4good.com/v2'
        self.headers = {
            'Authorization': f'Bearer {api_key}',
            'Content-Type': 'application/json'
        }

    def create_course_ecosystem(self, course_info):
        """Create complete course ecosystem with tokens and payments"""
        
        # 1. Issue course token
        course_token = self.post('/api/assets/issue/fungible', {
            'name': f"{course_info['title']} Token",
            'ticker': course_info['ticker'],
            'amount': course_info['max_students'] * course_info['price'],
            'precision': 8
        })

        # 2. Set up Lightning channel for micropayments
        lightning_setup = self.post('/api/channels/open', {
            'peer_node_id': course_info['instructor_node_id'],
            'capacity_sats': 1000000,
            'rgb_contracts': [course_token['asset']['contract_id']]
        })

        return {
            'course_token': course_token,
            'lightning_channel': lightning_setup,
            'payment_flows_ready': True
        }

    def process_learning_milestone(self, student_id, milestone_data):
        """Reward student for completing learning milestone"""
        
        # Issue NFT badge for milestone
        badge = self.post('/api/assets/issue/nft', {
            'name': f"Badge: {milestone_data['milestone_name']}",
            'description': f"Achievement badge for {milestone_data['description']}",
            'metadata_uri': f"https://yourcdn.com/badges/{student_id}_{milestone_data['id']}.json"
        })

        # Send reward tokens via Lightning (instant)
        reward_payment = self.post('/api/invoices/lightning', {
            'amount_msats': milestone_data['reward_amount'] * 1000,
            'description': f"Milestone reward: {milestone_data['milestone_name']}"
        })

        return {
            'badge_nft': badge,
            'reward_payment': reward_payment
        }

    def post(self, endpoint, data):
        response = requests.post(
            self.base_url + endpoint,
            headers=self.headers,
            json=data
        )
        return response.json()

# Usage example
t4g = Token4GoodClient(os.environ['T4G_API_KEY'])

# Create advanced DeFi course
course_ecosystem = t4g.create_course_ecosystem({
    'title': 'Advanced DeFi Strategies',
    'ticker': 'DEFI-ADV',
    'max_students': 1000,
    'price': 2000,  # 2000 T4G tokens
    'instructor_node_id': '03abc123...'
})

# Reward student for completing module
milestone_reward = t4g.process_learning_milestone('student456', {
    'milestone_name': 'Liquidity Pools Master',
    'description': 'Completed all liquidity pool exercises with 95%+ score',
    'reward_amount': 50,  # 50 sats
    'id': 'defi_lp_master'
})

🔵 Level 2: Native SDK Integration

Rust SDK

[dependencies]
token4good = { version = "2.0.0", features = ["rgb", "lightning"] }
tokio = { version = "1.0", features = ["full"] }

use token4good::{
    RgbLightningNode, RgbAssetService, InvoiceService,
    T4GInvoice, RgbAsset, RgbLightningConfig
};

#[tokio::main]
async fn main() -> Result<(), Box<dyn std::error::Error>> {
    // Initialize RGB+Lightning node
    let config = RgbLightningConfig {
        network: bitcoin::Network::Testnet,
        listening_port: 9735,
        rgb_enabled: true,
        default_rgb_contracts: vec!["t4g_education_contract".to_string()],
        ..Default::default()
    };
    
    let node = RgbLightningNode::new(config).await?;
    node.start().await?;
    
    // Create educational platform
    let platform = EducationalPlatform::new(node);
    
    // Launch course with hybrid payments
    let course = platform.create_course(CourseConfig {
        name: "Bitcoin Development Bootcamp",
        duration_weeks: 12,
        price_t4g: 5000,
        lightning_fees_sats: 1000,
        max_students: 50,
        instructor_pubkey: "03def456...",
    }).await?;
    
    println!("🎓 Course launched: {}", course.id);
    
    // Handle student enrollment
    let enrollment = platform.enroll_student(
        "student789",
        &course.id,
        PaymentMethod::Hybrid {
            t4g_tokens: 5000,
            lightning_sats: 1000,
        }
    ).await?;
    
    println!("✅ Student enrolled: {}", enrollment.student_id);
    
    Ok(())
}

// Custom educational platform implementation
struct EducationalPlatform {
    node: RgbLightningNode,
    courses: HashMap<String, Course>,
    students: HashMap<String, Student>,
}

impl EducationalPlatform {
    async fn create_course(&mut self, config: CourseConfig) -> Result<Course> {
        // Issue course-specific token
        let course_token = self.node.rgb_assets()
            .issue_t4g_asset(
                config.name.clone(),
                format!("COURSE-{}", uuid::Uuid::new_v4()),
                config.price_t4g * config.max_students,
                8
            ).await?;
        
        // Set up Lightning channel for instant micropayments
        let lightning_channel = self.node
            .open_rgb_channel(
                config.instructor_pubkey,
                1_000_000, // 1M sats capacity
                vec![course_token.contract_id.clone()]
            ).await?;
        
        let course = Course {
            id: uuid::Uuid::new_v4().to_string(),
            config,
            token_contract: course_token.contract_id,
            lightning_channel: lightning_channel,
            enrolled_students: Vec::new(),
        };
        
        self.courses.insert(course.id.clone(), course.clone());
        Ok(course)
    }
    
    async fn enroll_student(
        &mut self, 
        student_id: &str,
        course_id: &str,
        payment_method: PaymentMethod
    ) -> Result<Enrollment> {
        let course = self.courses.get(course_id)
            .ok_or("Course not found")?;
        
        // Create hybrid invoice
        let invoice = self.node.invoices()
            .create_hybrid_invoice(
                course.token_contract.clone(),
                course.config.price_t4g,
                course.config.lightning_fees_sats * 1000, // Convert to msats
                format!("Enrollment: {}", course.config.name),
                60 // 1 hour expiry
            ).await?;
        
        // Process payment (simplified - in reality you'd wait for payment)
        // self.wait_for_payment(&invoice).await?;
        
        let enrollment = Enrollment {
            student_id: student_id.to_string(),
            course_id: course_id.to_string(),
            enrolled_at: chrono::Utc::now(),
            payment_invoice: invoice.id,
        };
        
        Ok(enrollment)
    }
    
    async fn issue_completion_certificate(
        &self,
        student_id: &str,
        course_id: &str,
        grade: &str
    ) -> Result<RgbAsset> {
        let course = self.courses.get(course_id)
            .ok_or("Course not found")?;
        
        // Issue NFT certificate
        let certificate = self.node.rgb_assets()
            .issue_education_nft(
                format!("Certificate: {}", course.config.name),
                format!("Student {} completed {} with grade {}", 
                       student_id, course.config.name, grade),
                format!("https://certificates.yourdomain.com/{}/{}.json", 
                       student_id, course_id)
            ).await?;
        
        // Send certificate to student (simplified)
        // In reality, you'd transfer the NFT to student's wallet
        
        Ok(certificate)
    }
}

#[derive(Clone)]
struct Course {
    id: String,
    config: CourseConfig,
    token_contract: String,
    lightning_channel: [u8; 32],
    enrolled_students: Vec<String>,
}

struct CourseConfig {
    name: String,
    duration_weeks: u8,
    price_t4g: u64,
    lightning_fees_sats: u64,
    max_students: u32,
    instructor_pubkey: [u8; 33],
}

enum PaymentMethod {
    T4GOnly(u64),
    LightningOnly(u64),
    Hybrid { t4g_tokens: u64, lightning_sats: u64 },
}

struct Enrollment {
    student_id: String,
    course_id: String,
    enrolled_at: chrono::DateTime<chrono::Utc>,
    payment_invoice: String,
}

struct Student {
    id: String,
    wallet_address: String,
    enrolled_courses: Vec<String>,
    certificates: Vec<String>,
}

JavaScript/TypeScript SDK

import { Token4Good, RgbLightningConfig, PaymentType } from 'token4good-sdk';

class EducationalMarketplace {
    private t4g: Token4Good;
    
    constructor(config: RgbLightningConfig) {
        this.t4g = new Token4Good(config);
    }
    
    async initialize(): Promise<void> {
        await this.t4g.connect();
        console.log('🚀 Connected to Token4Good network');
    }
    
    // Create comprehensive course offering
    async launchCourse(courseData: CourseData): Promise<Course> {
        // 1. Issue fungible course tokens
        const courseToken = await this.t4g.assets.issue({
            type: 'fungible',
            name: `${courseData.title} Access Token`,
            ticker: courseData.ticker,
            totalSupply: courseData.maxStudents * courseData.pricePerStudent,
            decimals: 8
        });
        
        // 2. Create course NFT collection for certificates
        const certificateCollection = await this.t4g.assets.createCollection({
            name: `${courseData.title} Certificates`,
            description: `Official completion certificates for ${courseData.title}`,
            maxSupply: courseData.maxStudents
        });
        
        // 3. Set up Lightning channels with instructors
        const instructorChannels = await Promise.all(
            courseData.instructors.map(instructor => 
                this.t4g.lightning.openChannel({
                    peerNodeId: instructor.nodeId,
                    capacitySats: 1000000,
                    rgbContracts: [courseToken.contractId]
                })
            )
        );
        
        // 4. Configure automated payment flows
        const paymentFlow = await this.t4g.payments.createFlow({
            trigger: 'course_completion',
            actions: [
                {
                    type: 'mint_certificate_nft',
                    collectionId: certificateCollection.id,
                    recipient: '{student.wallet}'
                },
                {
                    type: 'lightning_payment',
                    amount: courseData.instructorRewardSats,
                    recipient: '{instructor.node_id}'
                }
            ]
        });
        
        return {
            id: `course_${Date.now()}`,
            ...courseData,
            courseToken,
            certificateCollection,
            instructorChannels,
            paymentFlow,
            students: []
        };
    }
    
    // Advanced: AI-powered personalized learning paths
    async createPersonalizedLearningPath(
        studentProfile: StudentProfile,
        learningGoals: LearningGoal[]
    ): Promise<LearningPath> {
        
        // Use AI to determine optimal course sequence
        const aiRecommendations = await this.t4g.ai.generateLearningPath({
            profile: studentProfile,
            goals: learningGoals,
            availableCourses: await this.getAvailableCourses()
        });
        
        // Create dynamic pricing based on student profile and market conditions
        const dynamicPricing = await this.t4g.pricing.calculate({
            courses: aiRecommendations.courses,
            studentTier: studentProfile.tier,
            marketConditions: await this.t4g.market.getConditions()
        });
        
        // Set up progressive reward system
        const rewardSchedule = await this.t4g.rewards.createSchedule({
            milestones: aiRecommendations.milestones,
            rewardTypes: ['t4g_tokens', 'nft_badges', 'lightning_rewards'],
            progressiveMultiplier: 1.1 // Rewards increase by 10% per milestone
        });
        
        return {
            id: `path_${studentProfile.id}_${Date.now()}`,
            courses: aiRecommendations.courses,
            pricing: dynamicPricing,
            rewards: rewardSchedule,
            estimatedCompletion: aiRecommendations.timeEstimate
        };
    }
    
    // Handle real-time micropayments for content consumption
    async setupRealTimeContentAccess(courseId: string): Promise<ContentAccessManager> {
        return new ContentAccessManager(this.t4g, {
            pricePerSecond: 0.001, // 0.001 sats per second of video
            pricePerPage: 1, // 1 sat per page read
            pricePerQuizAttempt: 10, // 10 sats per quiz
            buffferAmount: 100 // Pre-authorize 100 sats for smooth experience
        });
    }
}

// Advanced content access with streaming payments
class ContentAccessManager {
    private t4g: Token4Good;
    private config: ContentPricingConfig;
    private activeStreams: Map<string, PaymentStream> = new Map();
    
    constructor(t4g: Token4Good, config: ContentPricingConfig) {
        this.t4g = t4g;
        this.config = config;
    }
    
    async startVideoSession(studentId: string, videoId: string): Promise<VideoSession> {
        // Create streaming payment channel
        const paymentStream = await this.t4g.payments.createStream({
            payer: studentId,
            ratePerSecond: this.config.pricePerSecond,
            maxDuration: 3600, // 1 hour max
            autoClose: true
        });
        
        // Start tracking content consumption
        const session = new VideoSession(videoId, paymentStream);
        this.activeStreams.set(sessionId, paymentStream);
        
        return session;
    }
    
    async accessPageContent(studentId: string, pageId: string): Promise<PageContent> {
        // Instant micropayment for page access
        const payment = await this.t4g.lightning.sendPayment({
            amount: this.config.pricePerPage,
            recipient: 'platform_node_id',
            memo: `Page access: ${pageId}`
        });
        
        if (payment.status === 'completed') {
            return await this.fetchPageContent(pageId);
        } else {
            throw new Error('Payment required for content access');
        }
    }
}

// Usage example
async function main() {
    const marketplace = new EducationalMarketplace({
        network: 'testnet',
        apiKey: process.env.T4G_API_KEY,
        lightningEnabled: true,
        rgbEnabled: true
    });
    
    await marketplace.initialize();
    
    // Launch advanced blockchain course
    const course = await marketplace.launchCourse({
        title: 'Advanced Bitcoin Lightning Development',
        ticker: 'BTC-LN-DEV',
        maxStudents: 100,
        pricePerStudent: 10000, // 10k T4G tokens
        instructors: [
            {
                id: 'instructor_alice',
                nodeId: '03abc123...',
                rewardPercentage: 70
            }
        ],
        duration: '12 weeks',
        certificationType: 'professional'
    });
    
    console.log('🎓 Course launched:', course.id);
    
    // Create personalized learning path for student
    const learningPath = await marketplace.createPersonalizedLearningPath({
        id: 'student_bob',
        previousExperience: 'intermediate',
        preferredPace: 'accelerated',
        budget: 50000 // 50k T4G tokens
    }, [
        { skill: 'lightning_network', level: 'expert' },
        { skill: 'rgb_protocol', level: 'intermediate' }
    ]);
    
    console.log('🎯 Personalized path created:', learningPath.id);
}

main().catch(console.error);

🟣 Level 3: MCP (Model Context Protocol) Integration

AI Agent Integration

// MCP server setup for Token4Good integration
import { Server } from '@modelcontextprotocol/sdk/server/index.js';
import { StdioServerTransport } from '@modelcontextprotocol/sdk/server/stdio.js';
import {
  CallToolRequestSchema,
  ListToolsRequestSchema,
  Tool,
} from '@modelcontextprotocol/sdk/types.js';
import { Token4Good } from 'token4good-sdk';

const server = new Server(
  {
    name: 'token4good-mcp-server',
    version: '2.0.0',
  },
  {
    capabilities: {
      tools: {},
    },
  }
);

const t4g = new Token4Good({
  apiKey: process.env.T4G_API_KEY,
  network: 'testnet'
});

// Define tools for AI agents
const TOOLS: Tool[] = [
  {
    name: 'create_educational_asset',
    description: 'Create educational tokens or NFTs for courses, certificates, or rewards',
    inputSchema: {
      type: 'object',
      properties: {
        type: { type: 'string', enum: ['token', 'nft', 'certificate'] },
        name: { type: 'string', description: 'Name of the educational asset' },
        description: { type: 'string', description: 'Description of the asset' },
        quantity: { type: 'number', description: 'Quantity to create (for tokens)' },
        recipient: { type: 'string', description: 'Recipient wallet or ID' },
        metadata: { type: 'object', description: 'Additional metadata for NFTs' }
      },
      required: ['type', 'name', 'description']
    }
  },
  {
    name: 'process_educational_payment',
    description: 'Process payments for courses, tutorials, or educational services',
    inputSchema: {
      type: 'object',
      properties: {
        paymentType: { type: 'string', enum: ['rgb', 'lightning', 'hybrid'] },
        amount: { type: 'number', description: 'Payment amount' },
        currency: { type: 'string', description: 'T4G tokens, sats, or specific course token' },
        recipient: { type: 'string', description: 'Payment recipient' },
        description: { type: 'string', description: 'Payment description' },
        courseId: { type: 'string', description: 'Associated course ID' }
      },
      required: ['paymentType', 'amount', 'recipient']
    }
  },
  {
    name: 'enroll_student_with_ai',
    description: 'AI-powered student enrollment with personalized pricing and course recommendations',
    inputSchema: {
      type: 'object',
      properties: {
        studentId: { type: 'string', description: 'Student identifier' },
        learningGoals: { 
          type: 'array', 
          items: { type: 'string' },
          description: 'Student learning objectives' 
        },
        budget: { type: 'number', description: 'Available budget in T4G tokens' },
        experienceLevel: { 
          type: 'string', 
          enum: ['beginner', 'intermediate', 'advanced'],
          description: 'Current experience level' 
        },
        preferredFormat: {
          type: 'string',
          enum: ['video', 'text', 'interactive', 'mixed'],
          description: 'Preferred learning format'
        }
      },
      required: ['studentId', 'learningGoals', 'budget']
    }
  },
  {
    name: 'create_ai_tutor_session',
    description: 'Create AI tutoring session with automatic micropayments for interactions',
    inputSchema: {
      type: 'object',
      properties: {
        studentId: { type: 'string', description: 'Student ID' },
        subject: { type: 'string', description: 'Subject area for tutoring' },
        sessionBudget: { type: 'number', description: 'Budget for the session in sats' },
        difficulty: { 
          type: 'string', 
          enum: ['beginner', 'intermediate', 'advanced'],
          description: 'Tutoring difficulty level' 
        }
      },
      required: ['studentId', 'subject', 'sessionBudget']
    }
  }
];

// Tool implementations
server.setRequestHandler(ListToolsRequestSchema, async () => ({
  tools: TOOLS,
}));

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

  try {
    switch (name) {
      case 'create_educational_asset':
        return await handleCreateEducationalAsset(args);
      
      case 'process_educational_payment':
        return await handleProcessPayment(args);
      
      case 'enroll_student_with_ai':
        return await handleAIEnrollment(args);
        
      case 'create_ai_tutor_session':
        return await handleAITutorSession(args);
      
      default:
        throw new Error(`Unknown tool: ${name}`);
    }
  } catch (error) {
    return {
      content: [
        {
          type: 'text',
          text: `Error executing ${name}: ${error.message}`,
        },
      ],
      isError: true,
    };
  }
});

// Tool implementations
async function handleCreateEducationalAsset(args: any) {
  const { type, name, description, quantity, recipient, metadata } = args;
  
  let result;
  
  switch (type) {
    case 'token':
      result = await t4g.assets.issue({
        type: 'fungible',
        name,
        description,
        totalSupply: quantity,
        decimals: 8
      });
      break;
      
    case 'nft':
      result = await t4g.assets.issueNFT({
        name,
        description,
        metadata: metadata || {},
        recipient
      });
      break;
      
    case 'certificate':
      result = await t4g.assets.issueCertificate({
        studentId: recipient,
        courseName: name,
        completionData: metadata,
        certificateType: 'completion'
      });
      break;
  }
  
  return {
    content: [
      {
        type: 'text',
        text: `Successfully created ${type}: ${result.id}\nContract ID: ${result.contractId}\nAsset created with name: ${name}`,
      },
    ],
  };
}

async function handleProcessPayment(args: any) {
  const { paymentType, amount, currency, recipient, description, courseId } = args;
  
  let paymentResult;
  
  switch (paymentType) {
    case 'rgb':
      paymentResult = await t4g.payments.processRGBPayment({
        amount,
        currency,
        recipient,
        description,
        courseId
      });
      break;
      
    case 'lightning':
      paymentResult = await t4g.payments.processLightningPayment({
        amountSats: amount,
        recipient,
        memo: description
      });
      break;
      
    case 'hybrid':
      paymentResult = await t4g.payments.processHybridPayment({
        rgbAmount: amount,
        lightningAmountSats: Math.floor(amount * 0.1), // 10% Lightning fees
        recipient,
        description,
        courseId
      });
      break;
  }
  
  return {
    content: [
      {
        type: 'text',
        text: `Payment processed successfully!\nType: ${paymentType}\nAmount: ${amount} ${currency}\nTransaction ID: ${paymentResult.txId}\nStatus: ${paymentResult.status}`,
      },
    ],
  };
}

async function handleAIEnrollment(args: any) {
  const { studentId, learningGoals, budget, experienceLevel, preferredFormat } = args;
  
  // Use AI to recommend personalized course path
  const aiRecommendations = await t4g.ai.generatePersonalizedPath({
    studentProfile: {
      id: studentId,
      experienceLevel,
      preferredFormat,
      budget
    },
    goals: learningGoals
  });
  
  // Create optimized enrollment package
  const enrollmentPackage = await t4g.enrollment.createPackage({
    studentId,
    courses: aiRecommendations.recommendedCourses,
    pricing: aiRecommendations.optimizedPricing,
    paymentPlan: aiRecommendations.suggestedPaymentPlan
  });
  
  // Process enrollment payment
  const enrollment = await t4g.enrollment.processEnrollment(enrollmentPackage);
  
  return {
    content: [
      {
        type: 'text',
        text: `AI-powered enrollment completed for student ${studentId}!

📚 Recommended Courses: ${aiRecommendations.recommendedCourses.map(c => c.title).join(', ')}
💰 Total Cost: ${enrollmentPackage.totalCost} T4G tokens  
⏱️ Estimated Completion: ${aiRecommendations.estimatedTimeToCompletion}
🎯 Learning Path Optimization Score: ${aiRecommendations.optimizationScore}/100

Enrollment ID: ${enrollment.id}
Payment Status: ${enrollment.paymentStatus}
Access Granted: ${enrollment.accessGranted ? 'Yes' ✅' : 'Pending ⏳'}`,
      },
    ],
  };
}

async function handleAITutorSession(args: any) {
  const { studentId, subject, sessionBudget, difficulty } = args;
  
  // Create streaming payment channel for real-time AI tutoring
  const tutorSession = await t4g.tutoring.createAISession({
    studentId,
    subject,
    difficulty,
    budgetSats: sessionBudget,
    paymentMode: 'streaming', // Pay per interaction
    ratePerQuestion: 5, // 5 sats per question
    ratePerExplanation: 10 // 10 sats per detailed explanation
  });
  
  // Initialize AI tutor with student context
  await tutorSession.initializeContext({
    learningHistory: await t4g.students.getLearningHistory(studentId),
    currentLevel: difficulty,
    preferredExplanationStyle: 'socratic' // Ask leading questions
  });
  
  return {
    content: [
      {
        type: 'text',
        text: `AI Tutor session created successfully! 🤖📚

Session ID: ${tutorSession.id}
Subject: ${subject}
Difficulty Level: ${difficulty}
Budget: ${sessionBudget} sats
Rate: 5 sats/question, 10 sats/explanation

🎓 Session is ready! Student can now interact with AI tutor.
💡 Payment will be deducted automatically for each interaction.
⚡ Lightning micropayments enable seamless learning experience.

Session URL: ${tutorSession.accessUrl}`,
      },
    ],
  };
}

// Start the MCP server
async function main() {
  const transport = new StdioServerTransport();
  await server.connect(transport);
  console.log('Token4Good MCP server running on stdio');
}

main().catch((error) => {
  console.error('Server error:', error);
  process.exit(1);
});

AI Agent Usage Examples

# Example: AI agent using Token4Good MCP tools
import asyncio
from mcp import ClientSession, StdioServerTransport

class EducationalAIAgent:
    def __init__(self):
        self.mcp_session = None
        
    async def initialize(self):
        # Connect to Token4Good MCP server
        transport = StdioServerTransport('node', 'token4good-mcp-server.js')
        self.mcp_session = ClientSession(transport)
        await self.mcp_session.initialize()
        
    async def autonomous_course_creation(self, subject_area: str, target_audience: str):
        """AI autonomously creates and launches a complete course"""
        
        # 1. Create course token
        course_token = await self.mcp_session.call_tool(
            'create_educational_asset',
            {
                'type': 'token',
                'name': f'{subject_area} Mastery Token',
                'description': f'Access token for {subject_area} course targeting {target_audience}',
                'quantity': 100000,
            }
        )
        
        # 2. Generate course content using AI (simulated)
        course_content = await self.generate_ai_content(subject_area, target_audience)
        
        # 3. Set up payment flows
        payment_setup = await self.mcp_session.call_tool(
            'process_educational_payment',
            {
                'paymentType': 'hybrid',
                'amount': 1000,  # Course price
                'currency': 'T4G',
                'recipient': 'platform_treasury',
                'description': f'Course setup: {subject_area}'
            }
        )
        
        return {
            'course_token': course_token,
            'content': course_content,
            'payment_setup': payment_setup
        }
    
    async def personalized_tutoring_session(self, student_query: str, student_id: str):
        """AI provides personalized tutoring with automatic payments"""
        
        # Create AI tutor session
        session = await self.mcp_session.call_tool(
            'create_ai_tutor_session',
            {
                'studentId': student_id,
                'subject': self.extract_subject(student_query),
                'sessionBudget': 1000,  # 1000 sats budget
                'difficulty': await self.assess_difficulty(student_query, student_id)
            }
        )
        
        # Provide personalized explanation
        explanation = await self.generate_personalized_explanation(
            student_query, 
            student_id
        )
        
        return {
            'session': session,
            'explanation': explanation,
            'learning_path': await self.suggest_next_steps(student_id, student_query)
        }
    
    async def automatic_certification(self, student_id: str, course_completion_data: dict):
        """Automatically issue certificates upon course completion"""
        
        # Verify completion
        if self.verify_completion(course_completion_data):
            certificate = await self.mcp_session.call_tool(
                'create_educational_asset',
                {
                    'type': 'certificate',
                    'name': f"Certificate: {course_completion_data['course_name']}",
                    'description': f"Completion certificate with {course_completion_data['final_grade']}% score",
                    'recipient': student_id,
                    'metadata': {
                        'course_id': course_completion_data['course_id'],
                        'completion_date': course_completion_data['completion_date'],
                        'final_grade': course_completion_data['final_grade'],
                        'instructor': course_completion_data['instructor'],
                        'verification_hash': self.generate_verification_hash(course_completion_data)
                    }
                }
            )
            
            # Send congratulations with bonus rewards
            bonus_payment = await self.mcp_session.call_tool(
                'process_educational_payment',
                {
                    'paymentType': 'lightning',
                    'amount': 100,  # 100 sats bonus
                    'recipient': student_id,
                    'description': f'Completion bonus for {course_completion_data["course_name"]}'
                }
            )
            
            return {
                'certificate': certificate,
                'bonus': bonus_payment,
                'message': 'Congratulations! Certificate issued and bonus sent! 🎉'
            }
        
        return {'error': 'Course completion requirements not met'}

# Usage
async def main():
    agent = EducationalAIAgent()
    await agent.initialize()
    
    # AI creates course autonomously
    course = await agent.autonomous_course_creation(
        'Advanced Lightning Network Development',
        'intermediate developers'
    )
    
    print(f"✅ Course created: {course['course_token']}")
    
    # AI provides tutoring
    tutoring = await agent.personalized_tutoring_session(
        "How do I implement RGB smart contracts?",
        "student_alice_123"
    )
    
    print(f"🤖 Tutoring session: {tutoring['session']}")
    
    # AI issues certificate automatically
    certification = await agent.automatic_certification(
        "student_alice_123",
        {
            'course_id': 'lightning_dev_advanced',
            'course_name': 'Advanced Lightning Development',
            'completion_date': '2024-12-20',
            'final_grade': 95,
            'instructor': 'expert_bob'
        }
    )
    
    print(f"🎓 Certificate issued: {certification}")

if __name__ == "__main__":
    asyncio.run(main())

🎯 Integration Success Checklist

✅ Basic Integration (REST API)

• [ ] API authentication working
• [ ] Can issue educational assets
• [ ] Can process RGB payments
• [ ] Can create Lightning invoices
• [ ] Can track student progress

✅ Advanced Integration (Native SDK)

• [ ] Local node running
• [ ] RGB channels operational
• [ ] Hybrid payments working
• [ ] Real-time micropayments active
• [ ] Certificate NFTs issuing

✅ AI Integration (MCP)

• [ ] MCP server connected
• [ ] AI agents can create assets
• [ ] Autonomous payments working
• [ ] Personalized learning paths generated
• [ ] Automatic certification active

🚀 Production Ready

• [ ] Mainnet configuration
• [ ] Security audit passed
• [ ] Monitoring deployed
• [ ] Backup systems active
• [ ] Support documentation complete

📞 Support & Resources

Documentation

• API Reference: https://docs.token4good.com/api
• SDK Documentation: https://docs.token4good.com/sdk
• MCP Integration: https://docs.token4good.com/mcp

Developer Community

• Discord: https://discord.gg/token4good-dev
• GitHub: https://github.com/token4good/t4g-integrations
• Developer Portal: https://dev.token4good.com

Business Development

• Partnerships: partnerships@token4good.com
• Technical Support: tech-support@token4good.com
• Business Inquiries: business@token4good.com

🚀 Ready to revolutionize education with RGB+Lightning? Start with Level 1 and scale to Level 3 as your needs grow!