What is MCP? Revolutionary Voice Agent Integration

┌─────────────────┐    ┌─────────────────┐    ┌─────────────────┐
│   MCP Server    │    │ Integration     │    │   MCP Client    │
│                 │    │    Manager      │    │                 │
│ • 4 AI Tools   │◄──►│ • Orchestration │◄──►│ • 5 External   │
│ • Context Mgmt  │    │ • Context Sync  │    │   Services      │
│ • Protocol API  │    │ • Session Mgmt  │    │ • Tool Proxy    │
└─────────────────┘    └─────────────────┘    └─────────────────┘
        ▲                        ▲                        ▲
        │                        │                        │
        ▼                        ▼                        ▼
┌─────────────────┐    ┌─────────────────┐    ┌─────────────────┐
│ KOJIE AI Tools  │    │ Context Bridge  │    │ External Tools  │
│                 │    │                 │    │                 │
│ • Code Gen      │    │ • Universal     │    │ • Claude Desktop│
│ • Workflow Orch │    │   Context       │    │ • VS Code MCP   │
│ • Cross-Platform│    │ • AI Memory     │    │ • GitHub Copilot│
│ • Context Anal  │    │ • Transitions   │    │ • Cursor Editor │
└─────────────────┘    └─────────────────┘    └─────────────────┘

// Initialize MCP Integration
const mcpConfig = {
    serverEndpoint: 'https://your-app.replit.app/mcp',
    externalServices: [
        'claude_desktop',
        'vscode_mcp', 
        'github_copilot',
        'cursor_mcp'
    ],
    voiceAgentConfig: {
        enableContextSync: true,
        hybridWorkflows: true,
        realTimeUpdates: true
    }
};

// Create unified MCP session
const session = await fetch('/api/mcp/create-unified-session', {
    method: 'POST',
    headers: { 'Content-Type': 'application/json' },
    body: JSON.stringify({
        external_services: mcpConfig.externalServices,
        voice_agent_id: 'your-voice-agent-id'
    })
});

console.log('MCP Session Created:', session.session_id);

// Voice Command Processor with MCP Integration
class VoiceMCPProcessor {
    constructor(mcpSessionId) {
        this.sessionId = mcpSessionId;
        this.contextHistory = [];
    }

    async processVoiceCommand(transcript, audioContext) {
        // Share voice context with MCP
        await this.shareVoiceContext({
            transcript: transcript,
            intent: await this.extractIntent(transcript),
            audioMetadata: audioContext,
            timestamp: new Date().toISOString()
        });

        // Determine if hybrid workflow is needed
        const workflowType = this.determineWorkflowType(transcript);
        
        if (workflowType === 'hybrid') {
            return await this.executeHybridWorkflow(transcript);
        } else {
            return await this.executeLocalAction(transcript);
        }
    }

    async shareVoiceContext(contextData) {
        await fetch('/api/mcp/share-context', {
            method: 'POST',
            headers: { 'Content-Type': 'application/json' },
            body: JSON.stringify({
                context_data: {
                    ...contextData,
                    session_id: this.sessionId,
                    source: 'voice_agent'
                }
            })
        });
    }

    async executeHybridWorkflow(voiceCommand) {
        const workflowConfig = {
            id: `voice_workflow_${Date.now()}`,
            trigger: 'voice_command',
            local_tools: [
                {
                    name: 'kojie_ai_context_analyzer',
                    params: { 
                        context_data: { voice_command: voiceCommand },
                        analysis_type: 'intent_extraction'
                    }
                }
            ],
            external_tools: [
                {
                    service: 'claude_desktop',
                    name: 'code_generation',
                    params: { 
                        instruction: voiceCommand,
                        context: 'voice_initiated'
                    }
                }
            ]
        };

        const response = await fetch('/api/mcp/execute-hybrid-workflow', {
            method: 'POST',
            headers: { 'Content-Type': 'application/json' },
            body: JSON.stringify(workflowConfig)
        });

        return await response.json();
    }
}

// Context-Aware Voice Response Generator
class MCPVoiceResponseGenerator {
    constructor(mcpClient) {
        this.mcp = mcpClient;
        this.voiceSynthesis = new SpeechSynthesisUtterance();
    }

    async generateContextualResponse(userRequest, mcpContext) {
        // Analyze context from all connected tools
        const contextAnalysis = await this.mcp.executeLocalTool(
            'kojie_ai_context_analyzer',
            {
                context_data: mcpContext,
                analysis_type: 'full',
                include_external_context: true
            }
        );

        // Generate response using context insights
        const response = await this.mcp.executeLocalTool(
            'kojie_ai_code_generator',
            {
                language: 'natural_language',
                task_description: `Generate voice response for: ${userRequest}`,
                context_insights: contextAnalysis,
                optimization_level: 'conversational'
            }
        );

        // Add voice-specific enhancements
        const voiceResponse = this.enhanceForVoice(response.content);
        
        return {
            text: voiceResponse,
            audio: await this.synthesizeVoice(voiceResponse),
            contextUpdates: response.context_updates
        };
    }

    enhanceForVoice(textResponse) {
        // Optimize text for voice synthesis
        return textResponse
            .replace(/([A-Z]{2,})/g, (match) => match.split('').join(' '))
            .replace(/\b(\d+)\b/g, (match) => this.numberToWords(match))
            .replace(/[(){}[\]]/g, '')
            .trim();
    }

    async synthesizeVoice(text) {
        // Use KOJIE AI's voice synthesis with context-aware intonation
        const audioResponse = await fetch('/api/voice/synthesize', {
            method: 'POST',
            headers: { 'Content-Type': 'application/json' },
            body: JSON.stringify({
                text: text,
                voice_profile: 'context_aware',
                emotion_context: this.mcp.getEmotionalContext(),
                speaking_rate: this.mcp.getOptimalSpeakingRate()
            })
        });

        return await audioResponse.blob();
    }
}

// Multi-Modal Context Integration
const multiModalContext = {
    voice: {
        transcript: "Help me fix this code error",
        intent: "debugging_assistance",
        emotional_tone: "frustrated"
    },
    visual: {
        screenshot: await captureScreen(),
        ui_elements: await analyzeUIElements(),
        code_context: await getVisibleCode()
    },
    textual: {
        recent_edits: await getRecentEdits(),
        project_files: await getProjectContext(),
        error_logs: await getErrorLogs()
    }
};

// Share comprehensive context with MCP
await mcpClient.shareMultiModalContext(multiModalContext);

// Optimized Context Management
class OptimizedMCPContextManager {
    constructor() {
        this.contextCache = new Map();
        this.compressionEnabled = true;
        this.maxContextSize = 50000; // characters
        this.contextTTL = 3600000; // 1 hour
    }

    async optimizeContext(context) {
        // Compress large context data
        if (this.compressionEnabled && 
            JSON.stringify(context).length > this.maxContextSize) {
            return await this.compressContext(context);
        }

        return context;
    }

    async compressContext(context) {
        // Use intelligent context summarization
        const summarized = await fetch('/api/mcp/compress-context', {
            method: 'POST',
            headers: { 'Content-Type': 'application/json' },
            body: JSON.stringify({
                context: context,
                compression_strategy: 'intelligent_summarization',
                preserve_critical_elements: true
            })
        });

        return await summarized.json();
    }

    cacheContext(key, context) {
        // Implement LRU cache with TTL
        this.contextCache.set(key, {
            data: context,
            timestamp: Date.now(),
            ttl: this.contextTTL
        });

        // Cleanup expired entries
        this.cleanupExpiredCache();
    }

    getFromCache(key) {
        const cached = this.contextCache.get(key);
        
        if (cached && (Date.now() - cached.timestamp) < cached.ttl) {
            return cached.data;
        }

        return null;
    }
}

// Security-Aware Context Sharing
class SecureMCPContextManager {
    constructor() {
        this.sensitivityLevels = {
            PUBLIC: 0,
            INTERNAL: 1,
            CONFIDENTIAL: 2,
            RESTRICTED: 3
        };
    }

    classifyContextSensitivity(context) {
        let maxSensitivity = this.sensitivityLevels.PUBLIC;

        // Check for sensitive patterns
        const sensitivePatterns = [
            /api[_-]?key/i,
            /password/i,
            /secret/i,
            /token/i,
            /credential/i,
            /private[_-]?key/i
        ];

        const contextString = JSON.stringify(context);
        
        for (const pattern of sensitivePatterns) {
            if (pattern.test(contextString)) {
                maxSensitivity = Math.max(maxSensitivity, 
                    this.sensitivityLevels.RESTRICTED);
            }
        }

        return maxSensitivity;
    }

    filterContextForExternalSharing(context, targetService) {
        const sensitivity = this.classifyContextSensitivity(context);
        const servicePermissions = this.getServicePermissions(targetService);

        if (sensitivity > servicePermissions.maxAllowedSensitivity) {
            return this.redactSensitiveData(context);
        }

        return context;
    }

    redactSensitiveData(context) {
        // Implementation of data redaction logic
        const redacted = JSON.parse(JSON.stringify(context));
        
        // Redact sensitive fields
        this.recursivelyRedact(redacted, [
            'password', 'api_key', 'secret', 'token', 
            'private_key', 'credential'
        ]);

        return redacted;
    }
}