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Expert Nodes & MCP Integration

Expert Fabric's modular architecture is built around the concept of "Expert Nodes" - specialized units that can be either AI-powered agents or human experts. These nodes communicate through the Model Context Protocol (MCP), enabling seamless integration and extensibility.

Expert Node Framework​

Node Types & Capabilities​

AI Expert Nodes​

AI nodes are specialized agents that handle specific types of tasks with high efficiency and consistency.

interface AIExpertNode {
  // Core identification
  id: string;
  name: string;
  version: string;
  
  // Capabilities
  specializations: string[];
  supportedInputTypes: string[];
  supportedOutputTypes: string[];
  
  // Performance characteristics
  averageProcessingTime: number;
  qualityScore: number;
  costPerOperation: number;
  
  // MCP integration
  mcpEndpoint: string;
  toolsAvailable: MCPTool[];
  resourceAccess: MCPResource[];
}

Examples of AI Expert Nodes:

  • Financial Analyzer: Processes financial statements, calculates ratios, identifies trends
  • Code Reviewer: Analyzes code quality, security vulnerabilities, best practices
  • Research Synthesizer: Aggregates information from multiple sources, creates summaries
  • Data Visualizer: Converts data into charts, graphs, and interactive visualizations

Human Expert Nodes​

Human nodes represent verified experts who provide specialized knowledge and quality oversight.

interface HumanExpertNode {
  // Expert profile
  expertId: string;
  name: string;
  credentials: Credential[];
  
  // Specializations
  domains: string[];
  skills: Skill[];
  certifications: string[];
  
  // Availability & performance
  availability: AvailabilityWindow[];
  responseTime: number;
  qualityRating: number;
  completionRate: number;
  
  // Economic factors
  hourlyRate: number;
  preferredTaskTypes: string[];
  minimumTaskValue: number;
}

Examples of Human Expert Nodes:

  • Senior Financial Analyst: CPA with 10+ years experience in corporate finance
  • Lead Software Architect: Expert in distributed systems and cloud architecture
  • Research Scientist: PhD in specific domain with publication track record
  • Industry Consultant: Deep domain knowledge in specific vertical markets

Model Context Protocol (MCP) Integration​

MCP provides the standard interface for Expert Fabric nodes to access tools, data, and context.

MCP Architecture​

Standard MCP Servers​

File System Access

{
  "name": "filesystem",
  "version": "1.0.0",
  "capabilities": {
    "tools": [
      {
        "name": "read_file",
        "description": "Read file contents",
        "inputSchema": {
          "type": "object",
          "properties": {
            "path": {"type": "string"}
          }
        }
      },
      {
        "name": "write_file",
        "description": "Write file contents",
        "inputSchema": {
          "type": "object",
          "properties": {
            "path": {"type": "string"},
            "content": {"type": "string"}
          }
        }
      }
    ]
  }
}

Database Access

{
  "name": "database",
  "version": "1.0.0",
  "capabilities": {
    "tools": [
      {
        "name": "execute_query",
        "description": "Execute SQL query",
        "inputSchema": {
          "type": "object",
          "properties": {
            "query": {"type": "string"},
            "parameters": {"type": "array"}
          }
        }
      }
    ],
    "resources": [
      {
        "uri": "db://tables",
        "name": "Database Schema",
        "description": "Available tables and columns"
      }
    ]
  }
}

Web API Access

{
  "name": "web-api",
  "version": "1.0.0",
  "capabilities": {
    "tools": [
      {
        "name": "http_request",
        "description": "Make HTTP request",
        "inputSchema": {
          "type": "object",
          "properties": {
            "url": {"type": "string"},
            "method": {"type": "string"},
            "headers": {"type": "object"},
            "body": {"type": "string"}
          }
        }
      }
    ]
  }
}

Node Orchestration & Communication​

Task Assignment Algorithm​

def assign_expert_node(subtask: SubTask, available_nodes: List[ExpertNode]) -> ExpertNode:
    """
    Assign the optimal expert node based on multiple factors
    """
    scores = []
    
    for node in available_nodes:
        score = calculate_node_score(
            subtask=subtask,
            node=node,
            factors={
                'domain_match': 0.4,
                'performance_history': 0.25,
                'cost_efficiency': 0.2,
                'availability': 0.15
            }
        )
        scores.append((node, score))
    
    # Select highest scoring available node
    return max(scores, key=lambda x: x[1])[0]

def calculate_node_score(subtask: SubTask, node: ExpertNode, factors: dict) -> float:
    """
    Calculate composite score for node assignment
    """
    domain_score = cosine_similarity(
        subtask.embedding, 
        node.specialization_embedding
    )
    
    performance_score = node.quality_rating * node.completion_rate
    
    cost_score = 1.0 / (1.0 + node.cost_per_hour / 100)  # Normalized cost
    
    availability_score = 1.0 if node.is_available() else 0.0
    
    return (
        domain_score * factors['domain_match'] +
        performance_score * factors['performance_history'] +
        cost_score * factors['cost_efficiency'] +
        availability_score * factors['availability']
    )

Inter-Node Communication​

Message Passing​

interface NodeMessage {
  messageId: string;
  fromNodeId: string;
  toNodeId: string;
  taskId: string;
  messageType: 'REQUEST' | 'RESPONSE' | 'UPDATE' | 'ERROR';
  payload: any;
  timestamp: Date;
}

class NodeCommunication {
  async sendMessage(message: NodeMessage): Promise<void> {
    // Validate message format
    await this.validateMessage(message);
    
    // Route through message queue
    await this.messageQueue.publish('node.messages', message);
    
    // Track delivery
    await this.trackMessage(message);
  }
  
  async handleMessage(message: NodeMessage): Promise<void> {
    const handler = this.getMessageHandler(message.messageType);
    await handler.process(message);
  }
}

Context Sharing​

interface TaskContext {
  taskId: string;
  clientRequirements: any;
  previousResults: Result[];
  availableResources: MCPResource[];
  timeConstraints: TimeConstraint;
  qualityRequirements: QualityRequirement;
}

class ContextManager {
  async getContextForNode(nodeId: string, taskId: string): Promise<TaskContext> {
    const baseContext = await this.getTaskContext(taskId);
    const nodePermissions = await this.getNodePermissions(nodeId);
    
    return this.filterContextByPermissions(baseContext, nodePermissions);
  }
  
  async updateContext(taskId: string, update: ContextUpdate): Promise<void> {
    await this.validateUpdate(update);
    await this.applyUpdate(taskId, update);
    await this.notifySubscribedNodes(taskId, update);
  }
}

Node Development & Extensibility​

Expert Node SDK​

import { ExpertNode, MCPClient, TaskContext } from '@expertfabric/node-sdk';

class CustomAnalysisNode extends ExpertNode {
  constructor() {
    super({
      name: 'custom-analysis-node',
      version: '1.0.0',
      specializations: ['data-analysis', 'statistical-modeling'],
      supportedInputTypes: ['csv', 'json', 'excel'],
      supportedOutputTypes: ['report', 'visualization', 'insights']
    });
  }
  
  async processTask(context: TaskContext): Promise<TaskResult> {
    // Access data through MCP
    const data = await this.mcp.readResource(context.inputData.uri);
    
    // Perform analysis
    const analysis = await this.analyzeData(data);
    
    // Generate output
    const report = await this.generateReport(analysis);
    
    return {
      status: 'completed',
      output: report,
      confidence: analysis.confidence,
      executionTime: Date.now() - context.startTime
    };
  }
  
  private async analyzeData(data: any): Promise<AnalysisResult> {
    // Custom analysis logic
    return {
      insights: this.extractInsights(data),
      patterns: this.findPatterns(data),
      confidence: this.calculateConfidence(data)
    };
  }
}

Plugin Marketplace​

Expert Fabric will support a marketplace for custom expert nodes and tools:

Plugin Registration​

interface PluginMetadata {
  name: string;
  version: string;
  author: string;
  description: string;
  category: string;
  pricing: PricingModel;
  permissions: Permission[];
  dependencies: Dependency[];
}

class PluginRegistry {
  async registerPlugin(plugin: Plugin, metadata: PluginMetadata): Promise<string> {
    // Validate plugin code and metadata
    await this.validatePlugin(plugin, metadata);
    
    // Security scan
    await this.securityScan(plugin);
    
    // Register in marketplace
    const pluginId = await this.storePlugin(plugin, metadata);
    
    // Make available for installation
    await this.publishPlugin(pluginId);
    
    return pluginId;
  }
}

Dynamic Loading​

class NodeManager {
  async loadExpertNode(nodeConfig: NodeConfig): Promise<ExpertNode> {
    // Download node code if needed
    if (nodeConfig.source === 'marketplace') {
      await this.downloadNode(nodeConfig.pluginId);
    }
    
    // Create isolated execution environment
    const sandbox = await this.createSandbox(nodeConfig.permissions);
    
    // Load and instantiate node
    const NodeClass = await sandbox.import(nodeConfig.entryPoint);
    const node = new NodeClass(nodeConfig.parameters);
    
    // Register with orchestrator
    await this.registerNode(node);
    
    return node;
  }
}

Quality Assurance & Monitoring​

Node Performance Tracking​

interface NodeMetrics {
  nodeId: string;
  tasksCompleted: number;
  averageQualityScore: number;
  averageExecutionTime: number;
  errorRate: number;
  costEfficiency: number;
  clientSatisfaction: number;
}

class PerformanceMonitor {
  async trackNodeExecution(
    nodeId: string, 
    taskId: string, 
    result: TaskResult
  ): Promise<void> {
    const metrics = {
      executionTime: result.executionTime,
      qualityScore: result.qualityScore,
      errorOccurred: result.status === 'error',
      costIncurred: result.costBreakdown.total
    };
    
    await this.updateNodeMetrics(nodeId, metrics);
    await this.checkPerformanceThresholds(nodeId);
  }
  
  async generatePerformanceReport(
    nodeId: string, 
    timeRange: TimeRange
  ): Promise<PerformanceReport> {
    const metrics = await this.getNodeMetrics(nodeId, timeRange);
    const benchmarks = await this.getBenchmarkData(nodeId);
    
    return {
      currentMetrics: metrics,
      benchmarkComparison: this.compareToBenchmarks(metrics, benchmarks),
      improvementRecommendations: this.generateRecommendations(metrics),
      trendAnalysis: this.analyzeTrends(metrics)
    };
  }
}

Node Health Monitoring​

class HealthMonitor {
  async performHealthCheck(nodeId: string): Promise<HealthStatus> {
    const node = await this.getNode(nodeId);
    
    const checks = await Promise.all([
      this.checkConnectivity(node),
      this.checkResourceUsage(node),
      this.checkResponseTime(node),
      this.checkErrorRate(node)
    ]);
    
    return {
      overall: this.calculateOverallHealth(checks),
      details: checks,
      recommendations: this.generateHealthRecommendations(checks)
    };
  }
}

This modular expert node framework enables Expert Fabric to scale its capabilities through community contributions while maintaining quality and security standards. The MCP integration ensures interoperability and extensibility, while the monitoring systems maintain platform reliability and performance.