UAICP Integration with Anthropic MCP

Overview

This guide provides step-by-step instructions for integrating the Universal AI Communication Protocol (UAICP) with Anthropic's Model Context Protocol (MCP). MCP provides rich semantic context and tool management capabilities that UAICP extends through universal discovery and cross-protocol translation.

Integration Architecture

MCP + UAICP Integration Points

┌─────────────────┐    ┌──────────────────┐    ┌─────────────────┐
│   MCP Client    │    │  UAICP Gateway   │    │  Other Protocol │
│                 │◄──►│                  │◄──►│    Services     │
│ - Tool Discovery│    │ - Protocol Trans │    │ - OpenAI API    │
│ - Context Mgmt  │    │ - Service Disc.  │    │ - A2A Protocol  │
│ - Rich Semantic │    │ - Capability Neg │    │ - Custom APIs   │
└─────────────────┘    └──────────────────┘    └─────────────────┘

Key Integration Benefits

1. Enhanced Discovery: Extend MCP's tool discovery to find services across all protocols
2. Protocol Bridge: Enable MCP tools to work with non-MCP AI services
3. Capability Matching: Match MCP's rich capabilities with other protocol capabilities
4. Context Preservation: Maintain MCP's context semantics across protocol boundaries

Prerequisites

Required Components

• MCP-compatible client or server
• UAICP Discovery Mesh client
• UAICP Protocol Translation Hub access
• Network connectivity to UAICP services

Development Environment

# Install MCP SDK
npm install @anthropic-ai/mcp-sdk

# Install UAICP Client Library
npm install @uaicp/client-sdk

# Install Protocol Adapter for MCP
npm install @uaicp/mcp-adapter

Step 1: Service Registration

Register MCP Service with UAICP

import { UAICPClient, ServiceDescription } from '@uaicp/client-sdk';
import { MCPServer } from '@anthropic-ai/mcp-sdk/server';

// Your existing MCP server
const mcpServer = new MCPServer({
  name: "financial-analysis-tools",
  version: "1.0.0"
});

// Register tools with MCP
mcpServer.setRequestHandler(ListToolsRequestSchema, async () => ({
  tools: [
    {
      name: "analyze_financial_statement",
      description: "Analyzes financial statements for key metrics",
      inputSchema: {
        type: "object",
        properties: {
          statement_data: { type: "string", description: "Financial statement content" },
          analysis_type: { type: "string", enum: ["profitability", "liquidity", "leverage"] }
        }
      }
    }
  ]
}));

// Create UAICP service description
const serviceDescription: ServiceDescription = {
  "@context": "https://uaicp.org/schema/v1.0",
  "serviceId": "financial-analysis-mcp-service",
  "provider": {
    "name": "Financial Corp",
    "type": "enterprise",
    "website": "https://financialcorp.com"
  },
  "modelFamily": "claude-3.5-sonnet",
  "modelVersion": "20241022",
  "endpoint": "http://localhost:3000/mcp",
  "protocolType": "mcp",
  "protocolVersion": "1.0",
  "capabilities": {
    "modalities": ["text"],
    "maxContextLength": 200000,
    "streamingSupport": true,
    "responseFormats": ["text", "json", "structured"],
    "specificFeatures": ["tool_calling", "context_management", "financial_analysis"],
    "serviceType": "analysis",
    "domainSpecialization": ["finance", "accounting", "compliance"],
    "supportsMultiTurn": true,
    "performance": {
      "averageLatency": 2000,
      "throughputLimit": 100,
      "costPerToken": 0.003,
      "maxThroughput": "100 req/min"
    }
  },
  "discoveryMethods": {
    "direct": "http://localhost:3000/mcp",
    "wellKnownUri": "/.well-known/uaicp-service",
    "uaicpRegistry": "registered"
  },
  "security": {
    "authenticationMethods": ["bearer_token"],
    "dataEncryption": "TLS 1.3",
    "dataPolicies": ["GDPR_compliant", "SOX_compliant"],
    "complianceCertifications": ["SOC2_Type2", "ISO27001"],
    "rateLimits": {
      "requestsPerMinute": 100,
      "tokensPerMinute": 100000
    }
  }
};

// Register with UAICP Discovery Mesh
const uaicpClient = new UAICPClient({
  discoveryEndpoint: "https://discovery.uaicp.org",
  translationEndpoint: "https://translation.uaicp.org"
});

await uaicpClient.registerService(serviceDescription);

MCP Tool to UAICP Capability Mapping

import { ToolDefinition } from '@anthropic-ai/mcp-sdk';
import { Capability } from '@uaicp/client-sdk';

function mapMCPToolToUAICPCapability(tool: ToolDefinition): Capability {
  return {
    name: tool.name,
    description: tool.description,
    category: inferCategoryFromTool(tool),
    inputSchema: tool.inputSchema,
    outputSchema: inferOutputSchema(tool),
    semanticTags: extractSemanticTags(tool.description),
    domainSpecific: true,
    confidenceLevel: 0.95
  };
}

function inferCategoryFromTool(tool: ToolDefinition): string {
  const name = tool.name.toLowerCase();
  const desc = tool.description.toLowerCase();
  
  if (name.includes('analyze') || desc.includes('analysis')) return 'analysis';
  if (name.includes('generate') || desc.includes('create')) return 'generation';
  if (name.includes('search') || desc.includes('find')) return 'search';
  if (name.includes('transform') || desc.includes('convert')) return 'transformation';
  
  return 'general';
}

Step 2: Discovery Integration

Enable Cross-Protocol Discovery

import { UAICPDiscoveryClient } from '@uaicp/client-sdk';
import { ListToolsRequestSchema } from '@anthropic-ai/mcp-sdk';

class EnhancedMCPServer {
  private mcpServer: MCPServer;
  private uaicpClient: UAICPDiscoveryClient;

  constructor() {
    this.mcpServer = new MCPServer({ name: "enhanced-mcp", version: "1.0.0" });
    this.uaicpClient = new UAICPDiscoveryClient();
    this.setupCrossProtocolDiscovery();
  }

  private async setupCrossProtocolDiscovery() {
    // Handle enhanced tool discovery
    this.mcpServer.setRequestHandler(ListToolsRequestSchema, async () => {
      // Get native MCP tools
      const nativeTools = await this.getNativeMCPTools();
      
      // Discover additional tools via UAICP
      const crossProtocolTools = await this.discoverCrossProtocolTools();
      
      // Merge and return all available tools
      return {
        tools: [...nativeTools, ...crossProtocolTools]
      };
    });
  }

  private async discoverCrossProtocolTools() {
    // Find services with compatible capabilities
    const services = await this.uaicpClient.findServices(
      [
        { name: "text_analysis", category: "analysis" },
        { name: "data_processing", category: "transformation" }
      ],
      {
        protocolPreferences: ["openai", "custom"],
        fallbackAllowed: true,
        maxResults: 10
      }
    );

    // Convert service capabilities to MCP tool format
    return services.map(service => this.convertServiceToMCPTool(service));
  }

  private convertServiceToMCPTool(service: ServiceDescription) {
    return {
      name: `uaicp_${service.serviceId}`,
      description: `Cross-protocol access to ${service.provider.name} ${service.capabilities.serviceType}`,
      inputSchema: {
        type: "object",
        properties: {
          query: { type: "string", description: "Query or request to send to the service" },
          parameters: { type: "object", description: "Service-specific parameters" }
        },
        required: ["query"]
      }
    };
  }
}

Service Discovery with Context Awareness

class ContextAwareMCPDiscovery {
  private uaicpClient: UAICPDiscoveryClient;
  private contextManager: MCPContextManager;

  async discoverServicesForContext(context: MCPContext): Promise<ServiceDescription[]> {
    // Extract context clues for service discovery
    const contextClues = this.extractContextClues(context);
    
    // Build capability requirements from context
    const requiredCapabilities = this.buildCapabilityRequirements(contextClues);
    
    // Discover services matching context needs
    const services = await this.uaicpClient.findServices(requiredCapabilities, {
      contextConstraints: contextClues,
      requireContextSupport: true
    });

    return services.filter(service => this.isContextCompatible(service, context));
  }

  private extractContextClues(context: MCPContext): Record<string, any> {
    return {
      domain: this.inferDomain(context.messages),
      complexity: this.assessComplexity(context.messages),
      dataTypes: this.identifyDataTypes(context.resources),
      securityLevel: this.assessSecurityRequirements(context.metadata)
    };
  }

  private buildCapabilityRequirements(clues: Record<string, any>): Capability[] {
    const capabilities: Capability[] = [];
    
    if (clues.domain === 'finance') {
      capabilities.push({
        name: "financial_analysis",
        category: "analysis",
        domainSpecific: true,
        requiredCertifications: ["SOX", "GDPR"]
      });
    }

    if (clues.complexity === 'high') {
      capabilities.push({
        name: "complex_reasoning",
        category: "reasoning",
        minimumContextLength: 100000
      });
    }

    return capabilities;
  }
}

Step 3: Protocol Translation

Implement MCP to Other Protocol Translation

import { ProtocolTranslationHub } from '@uaicp/translation-hub';

class MCPTranslationAdapter {
  private translationHub: ProtocolTranslationHub;

  constructor() {
    this.translationHub = new ProtocolTranslationHub();
    this.registerMCPAdapters();
  }

  private async registerMCPAdapters() {
    // Register MCP to OpenAI translation
    await this.translationHub.registerAdapter({
      sourceProtocol: "mcp",
      targetProtocol: "openai",
      translator: this.mcpToOpenAI.bind(this)
    });

    // Register OpenAI to MCP translation
    await this.translationHub.registerAdapter({
      sourceProtocol: "openai",
      targetProtocol: "mcp",
      translator: this.openAIToMCP.bind(this)
    });
  }

  private async mcpToOpenAI(mcpMessage: MCPMessage): Promise<OpenAIMessage> {
    switch (mcpMessage.type) {
      case 'tool_call':
        return {
          role: 'assistant',
          content: null,
          tool_calls: [{
            id: mcpMessage.id,
            type: 'function',
            function: {
              name: mcpMessage.tool.name,
              arguments: JSON.stringify(mcpMessage.tool.arguments)
            }
          }]
        };

      case 'tool_result':
        return {
          role: 'tool',
          tool_call_id: mcpMessage.tool_call_id,
          content: JSON.stringify(mcpMessage.result)
        };

      case 'user_message':
        return {
          role: 'user',
          content: mcpMessage.content
        };

      default:
        throw new Error(`Unsupported MCP message type: ${mcpMessage.type}`);
    }
  }

  private async openAIToMCP(openAIMessage: OpenAIMessage): Promise<MCPMessage> {
    switch (openAIMessage.role) {
      case 'assistant':
        if (openAIMessage.tool_calls) {
          return {
            type: 'tool_call',
            id: openAIMessage.tool_calls[0].id,
            tool: {
              name: openAIMessage.tool_calls[0].function.name,
              arguments: JSON.parse(openAIMessage.tool_calls[0].function.arguments)
            }
          };
        }
        return {
          type: 'assistant_message',
          content: openAIMessage.content
        };

      case 'tool':
        return {
          type: 'tool_result',
          tool_call_id: openAIMessage.tool_call_id,
          result: JSON.parse(openAIMessage.content)
        };

      case 'user':
        return {
          type: 'user_message',
          content: openAIMessage.content
        };

      default:
        throw new Error(`Unsupported OpenAI message role: ${openAIMessage.role}`);
    }
  }
}

Context-Preserving Translation

class ContextPreservingTranslator {
  async translateWithContext(
    message: any,
    sourceProtocol: string,
    targetProtocol: string,
    context: MCPContext
  ): Promise<TranslationResult> {
    
    // Preserve MCP context semantics during translation
    const contextMetadata = this.extractContextMetadata(context);
    
    // Perform base translation
    const baseTranslation = await this.translationHub.translateMessage(
      message,
      sourceProtocol,
      targetProtocol
    );

    // Inject context preservation metadata
    const enhancedTranslation = this.injectContextMetadata(
      baseTranslation,
      contextMetadata,
      targetProtocol
    );

    return {
      translatedMessage: enhancedTranslation,
      contextPreserved: true,
      metadata: {
        originalContext: contextMetadata,
        translationPath: `${sourceProtocol} -> ${targetProtocol}`,
        contextCompatibility: this.assessContextCompatibility(targetProtocol)
      }
    };
  }

  private extractContextMetadata(context: MCPContext): ContextMetadata {
    return {
      conversationHistory: context.messages.slice(-10), // Last 10 messages for context
      activeResources: context.resources.map(r => ({ id: r.id, type: r.type })),
      toolState: context.tools.reduce((acc, tool) => {
        acc[tool.name] = tool.state;
        return acc;
      }, {}),
      sessionMetadata: {
        sessionId: context.sessionId,
        startTime: context.startTime,
        participantCount: context.participants.length
      }
    };
  }

  private injectContextMetadata(
    translation: any,
    contextMetadata: ContextMetadata,
    targetProtocol: string
  ): any {
    switch (targetProtocol) {
      case 'openai':
        // Inject context as system message
        return {
          ...translation,
          messages: [
            {
              role: 'system',
              content: `Context: ${JSON.stringify(contextMetadata.sessionMetadata)}`
            },
            ...translation.messages
          ]
        };

      case 'a2a':
        // Inject context as agent state
        return {
          ...translation,
          agentState: {
            ...translation.agentState,
            contextMetadata: contextMetadata
          }
        };

      default:
        // Generic context injection
        return {
          ...translation,
          uaicp_context: contextMetadata
        };
    }
  }
}

Step 4: Capability Negotiation

MCP Tool Capability Matching

import { CapabilityNegotiator } from '@uaicp/capability-negotiator';

class MCPCapabilityMatcher {
  private negotiator: CapabilityNegotiator;

  async findCompatibleServices(mcpTool: ToolDefinition): Promise<ServiceMatch[]> {
    // Convert MCP tool to UAICP capability
    const requiredCapability = this.mcpToolToCapability(mcpTool);
    
    // Find services with compatible capabilities
    const services = await this.uaicpClient.findServices([requiredCapability]);
    
    // Negotiate capability compatibility for each service
    const matches: ServiceMatch[] = [];
    
    for (const service of services) {
      const negotiationResult = await this.negotiator.negotiateCapabilities(
        [requiredCapability],
        service.capabilities,
        {
          requireAllCapabilities: false,
          allowCapabilitySubstitution: true,
          qualityThreshold: 0.8
        }
      );

      if (negotiationResult.compatible) {
        matches.push({
          service: service,
          compatibilityScore: negotiationResult.compatibilityScore,
          capabilityMappings: negotiationResult.mappings,
          translationRequired: service.protocolType !== 'mcp'
        });
      }
    }

    return matches.sort((a, b) => b.compatibilityScore - a.compatibilityScore);
  }

  private mcpToolToCapability(tool: ToolDefinition): Capability {
    return {
      name: tool.name,
      description: tool.description,
      category: this.inferCategory(tool),
      inputSchema: tool.inputSchema,
      outputFormat: this.inferOutputFormat(tool),
      semanticTags: this.extractSemanticTags(tool),
      requiredAccuracy: this.inferAccuracyRequirement(tool),
      performanceRequirements: {
        maxLatency: 5000,
        minThroughput: 1
      }
    };
  }
}

Step 5: Error Handling and Fallbacks

Robust Cross-Protocol Error Handling

class RobustMCPIntegration {
  private primaryMCPServer: MCPServer;
  private uaicpClient: UAICPClient;
  private fallbackServices: Map<string, ServiceDescription>;

  async executeToolWithFallback(toolCall: ToolCall): Promise<ToolResult> {
    try {
      // Try primary MCP execution
      return await this.executeMCPTool(toolCall);
    } catch (primaryError) {
      console.warn(`Primary MCP execution failed: ${primaryError.message}`);
      
      // Attempt cross-protocol fallback
      return await this.executeCrossProtocolFallback(toolCall, primaryError);
    }
  }

  private async executeCrossProtocolFallback(
    toolCall: ToolCall,
    originalError: Error
  ): Promise<ToolResult> {
    
    // Find compatible services for fallback
    const fallbackServices = await this.findFallbackServices(toolCall);
    
    for (const service of fallbackServices) {
      try {
        // Translate tool call to target protocol
        const translatedCall = await this.translateToolCall(
          toolCall,
          service.protocolType
        );

        // Execute via UAICP
        const result = await this.uaicpClient.executeService(
          service.serviceId,
          translatedCall
        );

        // Translate result back to MCP format
        const mcpResult = await this.translateResult(
          result,
          service.protocolType,
          'mcp'
        );

        return {
          ...mcpResult,
          metadata: {
            executedViaFallback: true,
            fallbackService: service.serviceId,
            originalError: originalError.message
          }
        };

      } catch (fallbackError) {
        console.warn(`Fallback service failed: ${service.serviceId}`, fallbackError);
        continue;
      }
    }

    // All fallbacks failed
    throw new Error(`All execution attempts failed. Original: ${originalError.message}`);
  }

  private async findFallbackServices(toolCall: ToolCall): Promise<ServiceDescription[]> {
    const capability = this.toolCallToCapability(toolCall);
    
    return await this.uaicpClient.findServices([capability], {
      fallbackAllowed: true,
      minReliability: 0.7,
      maxResults: 3,
      protocolPreferences: ['openai', 'custom'] // Prefer non-MCP for fallback
    });
  }
}

Step 6: Monitoring and Observability

Cross-Protocol Performance Monitoring

import { UAICPMonitor } from '@uaicp/monitoring';

class MCPUAICPMonitor {
  private monitor: UAICPMonitor;
  private metrics: Map<string, PerformanceMetrics>;

  constructor() {
    this.monitor = new UAICPMonitor();
    this.metrics = new Map();
    this.setupMetricsCollection();
  }

  private setupMetricsCollection() {
    // Monitor MCP tool executions
    this.monitor.onToolExecution((event) => {
      this.recordToolMetrics(event);
    });

    // Monitor cross-protocol translations
    this.monitor.onProtocolTranslation((event) => {
      this.recordTranslationMetrics(event);
    });

    // Monitor service discovery performance
    this.monitor.onServiceDiscovery((event) => {
      this.recordDiscoveryMetrics(event);
    });
  }

  private recordToolMetrics(event: ToolExecutionEvent) {
    const key = `${event.toolName}_${event.protocol}`;
    const existing = this.metrics.get(key) || new PerformanceMetrics();
    
    existing.recordExecution({
      latency: event.duration,
      success: event.success,
      tokensUsed: event.tokensUsed,
      cost: event.cost
    });

    this.metrics.set(key, existing);
  }

  async generatePerformanceReport(): Promise<PerformanceReport> {
    const report: PerformanceReport = {
      timestamp: new Date().toISOString(),
      summary: {
        totalExecutions: this.getTotalExecutions(),
        averageLatency: this.getAverageLatency(),
        successRate: this.getSuccessRate(),
        crossProtocolUsage: this.getCrossProtocolUsage()
      },
      protocolBreakdown: this.getProtocolBreakdown(),
      topPerformingServices: this.getTopPerformingServices(),
      recommendations: this.generateRecommendations()
    };

    return report;
  }
}

Testing Integration

Comprehensive Integration Testing

import { describe, test, expect } from '@jest/globals';

describe('MCP-UAICP Integration', () => {
  let mcpServer: MCPServer;
  let uaicpClient: UAICPClient;

  beforeEach(async () => {
    mcpServer = new MCPServer({ name: "test-mcp", version: "1.0.0" });
    uaicpClient = new UAICPClient({ testMode: true });
  });

  test('should discover cross-protocol services', async () => {
    // Register test MCP service
    const serviceDesc = createTestServiceDescription();
    await uaicpClient.registerService(serviceDesc);

    // Test discovery
    const services = await uaicpClient.findServices([
      { name: "test_capability", category: "analysis" }
    ]);

    expect(services).toHaveLength(1);
    expect(services[0].protocolType).toBe('mcp');
  });

  test('should translate MCP tools to OpenAI format', async () => {
    const mcpTool: ToolDefinition = {
      name: "analyze_data",
      description: "Analyzes provided data",
      inputSchema: {
        type: "object",
        properties: {
          data: { type: "string" }
        }
      }
    };

    const translator = new MCPTranslationAdapter();
    const openAIFormat = await translator.translateTool(mcpTool, 'openai');

    expect(openAIFormat.type).toBe('function');
    expect(openAIFormat.function.name).toBe('analyze_data');
    expect(openAIFormat.function.parameters).toEqual(mcpTool.inputSchema);
  });

  test('should preserve context across protocol boundaries', async () => {
    const mcpContext = createTestMCPContext();
    const translator = new ContextPreservingTranslator();

    const result = await translator.translateWithContext(
      { type: 'user_message', content: 'Test message' },
      'mcp',
      'openai',
      mcpContext
    );

    expect(result.contextPreserved).toBe(true);
    expect(result.metadata.originalContext).toBeDefined();
  });

  test('should handle fallback scenarios gracefully', async () => {
    const integration = new RobustMCPIntegration();
    
    // Mock primary service failure
    jest.spyOn(integration, 'executeMCPTool').mockRejectedValue(new Error('Service unavailable'));
    
    // Mock successful fallback
    jest.spyOn(integration, 'executeCrossProtocolFallback').mockResolvedValue({
      success: true,
      result: 'Fallback execution successful',
      metadata: { executedViaFallback: true }
    });

    const result = await integration.executeToolWithFallback({
      name: 'test_tool',
      arguments: { input: 'test' }
    });

    expect(result.success).toBe(true);
    expect(result.metadata.executedViaFallback).toBe(true);
  });
});

Best Practices

Performance Optimization

1. Connection Pooling: Maintain persistent connections to frequently used services
2. Caching: Cache service discovery results and translation mappings
3. Batching: Batch multiple tool calls when possible
4. Circuit Breakers: Implement circuit breakers for unreliable services

Security Considerations

1. Authentication Bridging: Securely bridge authentication between protocols
2. Data Validation: Validate all cross-protocol data transfers
3. Audit Logging: Log all cross-protocol interactions for security auditing
4. Encryption: Ensure end-to-end encryption for sensitive data

Monitoring and Alerting

1. Latency Monitoring: Track latency across protocol boundaries
2. Error Rate Tracking: Monitor error rates for each protocol integration
3. Cost Tracking: Track costs associated with cross-protocol calls
4. Service Health: Monitor health of all integrated services

Troubleshooting

Common Issues

Service Discovery Failures

// Check service registration
const services = await uaicpClient.listRegisteredServices();
console.log('Registered services:', services);

// Verify discovery endpoints
const discoveryStatus = await uaicpClient.checkDiscoveryHealth();
console.log('Discovery status:', discoveryStatus);

Translation Errors

// Test translation compatibility
const compatibility = await translationHub.checkCompatibility('mcp', 'openai');
console.log('Translation compatibility:', compatibility);

// Enable debug logging
const translator = new MCPTranslationAdapter({ debugMode: true });

Context Loss

// Verify context preservation
const contextCheck = await translator.validateContextPreservation(
  originalContext,
  translatedContext
);
console.log('Context preservation:', contextCheck);

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This integration guide provides a comprehensive foundation for connecting MCP with UAICP. For additional support, consult the UAICP documentation or join our community forum.