MCP Integration for StateSet AI Agents

Overview

The Model Context Protocol (MCP) is an open standard that enables AI agents to seamlessly connect with external tools, services, and data sources. By integrating MCP into StateSet AI Agents, we enable them to send messages, interact with the StateSet Commerce Network, and perform complex operations across the blockchain ecosystem.

Introduction to MCP
Architecture Overview
MCP Server Implementation
MCP Client Integration
StateSet Commerce Network Integration
Message Protocol
Security Considerations
Testing and Deployment
Best Practices

Introduction to MCP

MCP provides a standardized way for AI agents to:

Connect to external tools and services
Send and receive messages across different systems
Maintain context and state across interactions
Execute blockchain transactions on the StateSet Commerce Network

Key Benefits

Standardized Communication

Unified protocol for all agent-to-network interactions

Tool Integration

Seamless connection to StateSet modules and services

Context Persistence

Maintain agent state across sessions and transactions

Architecture Overview

MCP Server Implementation

1. Create the StateSet MCP Server

// mcp-server/src/stateset-mcp-server.ts
import { Server } from '@modelcontextprotocol/sdk/server/index.js';
import { StdioServerTransport } from '@modelcontextprotocol/sdk/server/stdio.js';
import { 
  CallToolRequestSchema, 
  ListResourcesRequestSchema,
  ListToolsRequestSchema,
  ReadResourceRequestSchema
} from '@modelcontextprotocol/sdk/types.js';
import { StatesetClient } from 'stateset-node';

interface StateSetMCPConfig {
  apiKey: string;
  networkEndpoint: string;
  chainId: string;
}

class StateSetMCPServer {
  private server: Server;
  private statesetClient: StatesetClient;
  
  constructor(config: StateSetMCPConfig) {
    this.server = new Server({
      name: 'stateset-commerce-mcp',
      version: '1.0.0',
    }, {
      capabilities: {
        resources: {},
        tools: {},
      },
    });
    
    this.statesetClient = new StatesetClient({
      apiKey: config.apiKey,
      networkEndpoint: config.networkEndpoint,
      chainId: config.chainId
    });
    
    this.setupHandlers();
  }
  
  private setupHandlers() {
    // List available tools
    this.server.setRequestHandler(ListToolsRequestSchema, async () => ({
      tools: [
        {
          name: 'send_message',
          description: 'Send a message through the StateSet Commerce Network',
          inputSchema: {
            type: 'object',
            properties: {
              recipient: { type: 'string', description: 'Recipient address or agent ID' },
              message: { type: 'string', description: 'Message content' },
              messageType: { 
                type: 'string', 
                enum: ['order', 'payment', 'inventory', 'general'],
                description: 'Type of message'
              },
              metadata: { type: 'object', description: 'Additional message metadata' }
            },
            required: ['recipient', 'message', 'messageType']
          }
        },
        {
          name: 'create_order',
          description: 'Create a new order on the StateSet Commerce Network',
          inputSchema: {
            type: 'object',
            properties: {
              customerId: { type: 'string' },
              items: { type: 'array' },
              totalAmount: { type: 'string' },
              metadata: { type: 'object' }
            },
            required: ['customerId', 'items', 'totalAmount']
          }
        },
        {
          name: 'query_network_state',
          description: 'Query the current state of the StateSet Commerce Network',
          inputSchema: {
            type: 'object',
            properties: {
              module: { 
                type: 'string',
                enum: ['orders', 'payments', 'inventory', 'agents']
              },
              query: { type: 'object' }
            },
            required: ['module']
          }
        },
        {
          name: 'execute_transaction',
          description: 'Execute a transaction on the StateSet Commerce Network',
          inputSchema: {
            type: 'object',
            properties: {
              module: { type: 'string' },
              action: { type: 'string' },
              params: { type: 'object' },
              signer: { type: 'string' }
            },
            required: ['module', 'action', 'params']
          }
        }
      ]
    }));
    
    // Handle tool calls
    this.server.setRequestHandler(CallToolRequestSchema, async (request) => {
      switch (request.params.name) {
        case 'send_message':
          return await this.handleSendMessage(request.params.arguments);
          
        case 'create_order':
          return await this.handleCreateOrder(request.params.arguments);
          
        case 'query_network_state':
          return await this.handleQueryNetworkState(request.params.arguments);
          
        case 'execute_transaction':
          return await this.handleExecuteTransaction(request.params.arguments);
          
        default:
          throw new Error(`Unknown tool: ${request.params.name}`);
      }
    });
    
    // List available resources
    this.server.setRequestHandler(ListResourcesRequestSchema, async () => ({
      resources: [
        {
          uri: 'stateset://network/status',
          name: 'Network Status',
          description: 'Current status of the StateSet Commerce Network',
          mimeType: 'application/json'
        },
        {
          uri: 'stateset://agents/directory',
          name: 'Agent Directory',
          description: 'List of registered AI agents on the network',
          mimeType: 'application/json'
        },
        {
          uri: 'stateset://modules/info',
          name: 'Module Information',
          description: 'Information about available network modules',
          mimeType: 'application/json'
        }
      ]
    }));
    
    // Handle resource reads
    this.server.setRequestHandler(ReadResourceRequestSchema, async (request) => {
      const { uri } = request.params;
      
      switch (uri) {
        case 'stateset://network/status':
          return await this.getNetworkStatus();
          
        case 'stateset://agents/directory':
          return await this.getAgentDirectory();
          
        case 'stateset://modules/info':
          return await this.getModuleInfo();
          
        default:
          throw new Error(`Unknown resource: ${uri}`);
      }
    });
  }
  
  private async handleSendMessage(args: any) {
    try {
      // Create a message transaction on the StateSet Network
      const message = {
        typeUrl: '/stateset.core.message.MsgSendMessage',
        value: {
          sender: args.signer || 'ai-agent-default',
          recipient: args.recipient,
          content: args.message,
          messageType: args.messageType,
          metadata: JSON.stringify(args.metadata || {}),
          timestamp: new Date().toISOString()
        }
      };
      
      // Broadcast the message to the network
      const result = await this.statesetClient.signAndBroadcast(
        args.signer || 'ai-agent-default',
        [message],
        'auto'
      );
      
      return {
        content: [{
          type: 'text',
          text: `Message sent successfully. Transaction hash: ${result.transactionHash}`
        }],
        metadata: {
          transactionHash: result.transactionHash,
          height: result.height,
          gasUsed: result.gasUsed
        }
      };
    } catch (error) {
      return {
        content: [{
          type: 'text',
          text: `Failed to send message: ${error.message}`
        }],
        isError: true
      };
    }
  }
  
  private async handleCreateOrder(args: any) {
    try {
      const order = await this.statesetClient.orders.create({
        customerId: args.customerId,
        items: args.items,
        totalAmount: args.totalAmount,
        status: 'CREATED',
        metadata: args.metadata
      });
      
      return {
        content: [{
          type: 'text',
          text: `Order created successfully. Order ID: ${order.id}`
        }],
        metadata: {
          orderId: order.id,
          status: order.status,
          createdAt: order.createdAt
        }
      };
    } catch (error) {
      return {
        content: [{
          type: 'text',
          text: `Failed to create order: ${error.message}`
        }],
        isError: true
      };
    }
  }
  
  private async handleQueryNetworkState(args: any) {
    try {
      let result;
      
      switch (args.module) {
        case 'orders':
          result = await this.statesetClient.orders.list(args.query || {});
          break;
          
        case 'payments':
          result = await this.statesetClient.payments.list(args.query || {});
          break;
          
        case 'inventory':
          result = await this.statesetClient.inventory.list(args.query || {});
          break;
          
        case 'agents':
          result = await this.statesetClient.agents.list(args.query || {});
          break;
          
        default:
          throw new Error(`Unknown module: ${args.module}`);
      }
      
      return {
        content: [{
          type: 'text',
          text: JSON.stringify(result, null, 2)
        }],
        metadata: {
          module: args.module,
          count: result.length || result.total
        }
      };
    } catch (error) {
      return {
        content: [{
          type: 'text',
          text: `Query failed: ${error.message}`
        }],
        isError: true
      };
    }
  }
  
  private async handleExecuteTransaction(args: any) {
    try {
      const msg = {
        typeUrl: `/stateset.core.${args.module}.${args.action}`,
        value: args.params
      };
      
      const result = await this.statesetClient.signAndBroadcast(
        args.signer || 'ai-agent-default',
        [msg],
        'auto'
      );
      
      return {
        content: [{
          type: 'text',
          text: `Transaction executed successfully. Hash: ${result.transactionHash}`
        }],
        metadata: {
          transactionHash: result.transactionHash,
          height: result.height,
          gasUsed: result.gasUsed,
          code: result.code
        }
      };
    } catch (error) {
      return {
        content: [{
          type: 'text',
          text: `Transaction failed: ${error.message}`
        }],
        isError: true
      };
    }
  }
  
  private async getNetworkStatus() {
    const status = await this.statesetClient.getNetworkStatus();
    
    return {
      contents: [{
        uri: 'stateset://network/status',
        mimeType: 'application/json',
        text: JSON.stringify(status, null, 2)
      }]
    };
  }
  
  private async getAgentDirectory() {
    const agents = await this.statesetClient.agents.list({ limit: 100 });
    
    return {
      contents: [{
        uri: 'stateset://agents/directory',
        mimeType: 'application/json',
        text: JSON.stringify(agents, null, 2)
      }]
    };
  }
  
  private async getModuleInfo() {
    const modules = {
      orders: {
        description: 'Order management module',
        actions: ['create', 'fulfill', 'cancel', 'return']
      },
      payments: {
        description: 'Payment processing module',
        actions: ['create', 'process', 'refund']
      },
      inventory: {
        description: 'Inventory management module',
        actions: ['update', 'reserve', 'release']
      },
      messages: {
        description: 'Message passing module',
        actions: ['send', 'broadcast', 'query']
      }
    };
    
    return {
      contents: [{
        uri: 'stateset://modules/info',
        mimeType: 'application/json',
        text: JSON.stringify(modules, null, 2)
      }]
    };
  }
  
  async start() {
    const transport = new StdioServerTransport();
    await this.server.connect(transport);
    console.error('StateSet MCP Server started');
  }
}

// Start the server
const config: StateSetMCPConfig = {
  apiKey: process.env.STATESET_API_KEY!,
  networkEndpoint: process.env.STATESET_NETWORK_ENDPOINT || 'https://rpc.stateset.zone',
  chainId: process.env.STATESET_CHAIN_ID || 'stateset-1'
};

const server = new StateSetMCPServer(config);
server.start().catch(console.error);

2. Package Configuration

// mcp-server/package.json
{
  "name": "@stateset/mcp-server",
  "version": "1.0.0",
  "description": "MCP Server for StateSet Commerce Network",
  "main": "dist/index.js",
  "type": "module",
  "scripts": {
    "build": "tsc",
    "start": "node dist/stateset-mcp-server.js",
    "dev": "tsx src/stateset-mcp-server.ts"
  },
  "dependencies": {
    "@modelcontextprotocol/sdk": "^0.5.0",
    "stateset-node": "^1.0.0",
    "@cosmjs/stargate": "^0.32.0",
    "@cosmjs/proto-signing": "^0.32.0"
  },
  "devDependencies": {
    "@types/node": "^20.0.0",
    "typescript": "^5.0.0",
    "tsx": "^4.0.0"
  }
}

MCP Client Integration

Integrating MCP Client into AI Agents

// agents/mcp-client-integration.ts
import { Client } from '@modelcontextprotocol/sdk/client/index.js';
import { StdioClientTransport } from '@modelcontextprotocol/sdk/client/stdio.js';
import { Agent } from '../response-api-reference/framework';

interface MCPAgentConfig {
  agentId: string;
  mcpServerPath: string;
  capabilities: string[];
}

export class MCPEnabledAgent extends Agent {
  private mcpClient: Client;
  private connected: boolean = false;
  
  constructor(config: MCPAgentConfig) {
    super(config);
    
    this.mcpClient = new Client({
      name: `agent-${config.agentId}`,
      version: '1.0.0',
    }, {
      capabilities: {}
    });
  }
  
  async connectToMCP() {
    try {
      const transport = new StdioClientTransport({
        command: 'node',
        args: [this.config.mcpServerPath]
      });
      
      await this.mcpClient.connect(transport);
      this.connected = true;
      
      // List available tools
      const tools = await this.mcpClient.listTools();
      console.log('Available MCP tools:', tools);
      
      return true;
    } catch (error) {
      console.error('Failed to connect to MCP server:', error);
      return false;
    }
  }
  
  async sendNetworkMessage(
    recipient: string, 
    message: string, 
    messageType: 'order' | 'payment' | 'inventory' | 'general',
    metadata?: any
  ) {
    if (!this.connected) {
      throw new Error('MCP client not connected');
    }
    
    const result = await this.mcpClient.callTool('send_message', {
      recipient,
      message,
      messageType,
      metadata
    });
    
    return result;
  }
  
  async createOrder(orderData: {
    customerId: string;
    items: any[];
    totalAmount: string;
    metadata?: any;
  }) {
    if (!this.connected) {
      throw new Error('MCP client not connected');
    }
    
    const result = await this.mcpClient.callTool('create_order', orderData);
    return result;
  }
  
  async queryNetworkState(module: string, query?: any) {
    if (!this.connected) {
      throw new Error('MCP client not connected');
    }
    
    const result = await this.mcpClient.callTool('query_network_state', {
      module,
      query
    });
    
    return result;
  }
  
  async executeNetworkTransaction(
    module: string,
    action: string,
    params: any,
    signer?: string
  ) {
    if (!this.connected) {
      throw new Error('MCP client not connected');
    }
    
    const result = await this.mcpClient.callTool('execute_transaction', {
      module,
      action,
      params,
      signer
    });
    
    return result;
  }
  
  // Override the process method to include MCP capabilities
  async process(input: string, context: any = {}) {
    // Check if the input requires network interaction
    if (this.requiresNetworkAction(input)) {
      const action = await this.determineNetworkAction(input, context);
      
      switch (action.type) {
        case 'send_message':
          return await this.sendNetworkMessage(
            action.recipient,
            action.message,
            action.messageType,
            action.metadata
          );
          
        case 'create_order':
          return await this.createOrder(action.orderData);
          
        case 'query_state':
          return await this.queryNetworkState(action.module, action.query);
          
        case 'execute_transaction':
          return await this.executeNetworkTransaction(
            action.module,
            action.action,
            action.params,
            action.signer
          );
      }
    }
    
    // Fall back to standard agent processing
    return await super.process(input, context);
  }
  
  private requiresNetworkAction(input: string): boolean {
    const networkKeywords = [
      'send', 'message', 'order', 'create', 'payment',
      'inventory', 'network', 'blockchain', 'transaction'
    ];
    
    return networkKeywords.some(keyword => 
      input.toLowerCase().includes(keyword)
    );
  }
  
  private async determineNetworkAction(input: string, context: any) {
    // Use the agent's LLM to determine the appropriate network action
    const prompt = `
      Given the user input: "${input}"
      And context: ${JSON.stringify(context)}
      
      Determine if this requires a network action and return the appropriate action object.
      
      Available actions:
      1. send_message: { type: 'send_message', recipient, message, messageType, metadata }
      2. create_order: { type: 'create_order', orderData: { customerId, items, totalAmount, metadata } }
      3. query_state: { type: 'query_state', module, query }
      4. execute_transaction: { type: 'execute_transaction', module, action, params, signer }
      
      Return null if no network action is required.
    `;
    
    // This would use the agent's LLM to determine the action
    // For now, we'll implement basic pattern matching
    
    if (input.includes('send') && input.includes('message')) {
      return {
        type: 'send_message',
        recipient: this.extractRecipient(input),
        message: this.extractMessage(input),
        messageType: 'general',
        metadata: {}
      };
    }
    
    if (input.includes('create') && input.includes('order')) {
      return {
        type: 'create_order',
        orderData: this.extractOrderData(input, context)
      };
    }
    
    // Add more pattern matching as needed
    return null;
  }
  
  // Helper methods for extracting data from input
  private extractRecipient(input: string): string {
    // Implement logic to extract recipient from input
    return 'default-recipient';
  }
  
  private extractMessage(input: string): string {
    // Implement logic to extract message content
    return input;
  }
  
  private extractOrderData(input: string, context: any): any {
    // Implement logic to extract order data
    return {
      customerId: context.customerId || 'default-customer',
      items: [],
      totalAmount: '0',
      metadata: {}
    };
  }
}

StateSet Commerce Network Integration

Message Module Implementation

// proto/stateset/message/v1/message.proto
syntax = "proto3";
package stateset.message.v1;

import "google/protobuf/timestamp.proto";
import "cosmos/base/v1beta1/coin.proto";

// Message represents a message sent through the StateSet network
message Message {
  string id = 1;
  string sender = 2;
  string recipient = 3;
  string content = 4;
  string message_type = 5;
  string metadata = 6; // JSON string
  google.protobuf.Timestamp created_at = 7;
  MessageStatus status = 8;
}

enum MessageStatus {
  MESSAGE_STATUS_UNSPECIFIED = 0;
  MESSAGE_STATUS_PENDING = 1;
  MESSAGE_STATUS_DELIVERED = 2;
  MESSAGE_STATUS_READ = 3;
  MESSAGE_STATUS_FAILED = 4;
}

// MsgSendMessage defines a message for sending a message through the network
message MsgSendMessage {
  string sender = 1;
  string recipient = 2;
  string content = 3;
  string message_type = 4;
  string metadata = 5;
}

message MsgSendMessageResponse {
  string message_id = 1;
}

// Query service for messages
service Query {
  rpc Message(QueryMessageRequest) returns (QueryMessageResponse);
  rpc Messages(QueryMessagesRequest) returns (QueryMessagesResponse);
  rpc MessagesByRecipient(QueryMessagesByRecipientRequest) returns (QueryMessagesByRecipientResponse);
}

message QueryMessageRequest {
  string message_id = 1;
}

message QueryMessageResponse {
  Message message = 1;
}

message QueryMessagesRequest {
  cosmos.base.query.v1beta1.PageRequest pagination = 1;
}

message QueryMessagesResponse {
  repeated Message messages = 1;
  cosmos.base.query.v1beta1.PageResponse pagination = 2;
}

message QueryMessagesByRecipientRequest {
  string recipient = 1;
  cosmos.base.query.v1beta1.PageRequest pagination = 2;
}

message QueryMessagesByRecipientResponse {
  repeated Message messages = 1;
  cosmos.base.query.v1beta1.PageResponse pagination = 2;
}

// Msg service for message transactions
service Msg {
  rpc SendMessage(MsgSendMessage) returns (MsgSendMessageResponse);
}

Message Protocol

Message Types and Formats

// types/message-protocol.ts

export enum MessageType {
  ORDER = 'order',
  PAYMENT = 'payment',
  INVENTORY = 'inventory',
  GENERAL = 'general',
  SYSTEM = 'system',
  AGENT_HANDOFF = 'agent_handoff',
  WORKFLOW_TRIGGER = 'workflow_trigger'
}

export interface BaseMessage {
  id: string;
  sender: string;
  recipient: string;
  messageType: MessageType;
  timestamp: string;
  metadata: Record<string, any>;
}

export interface OrderMessage extends BaseMessage {
  messageType: MessageType.ORDER;
  content: {
    orderId: string;
    action: 'create' | 'update' | 'cancel' | 'fulfill';
    orderData?: any;
  };
}

export interface PaymentMessage extends BaseMessage {
  messageType: MessageType.PAYMENT;
  content: {
    paymentId: string;
    amount: string;
    currency: string;
    status: 'pending' | 'completed' | 'failed';
  };
}

export interface AgentHandoffMessage extends BaseMessage {
  messageType: MessageType.AGENT_HANDOFF;
  content: {
    fromAgent: string;
    toAgent: string;
    context: any;
    reason: string;
  };
}

export interface WorkflowTriggerMessage extends BaseMessage {
  messageType: MessageType.WORKFLOW_TRIGGER;
  content: {
    workflowId: string;
    triggerType: string;
    parameters: Record<string, any>;
  };
}

Security Considerations

1. Authentication and Authorization

// security/mcp-auth.ts

export class MCPAuthProvider {
  private validatedAgents: Map<string, AgentCredentials> = new Map();
  
  async authenticateAgent(agentId: string, signature: string): Promise<boolean> {
    // Verify agent signature using public key
    const agent = await this.getAgentCredentials(agentId);
    if (!agent) return false;
    
    return this.verifySignature(agentId, signature, agent.publicKey);
  }
  
  async authorizeAction(agentId: string, action: string, resource: string): Promise<boolean> {
    const permissions = await this.getAgentPermissions(agentId);
    
    return permissions.some(p => 
      p.action === action && 
      (p.resource === '*' || p.resource === resource)
    );
  }
  
  private async getAgentCredentials(agentId: string): Promise<AgentCredentials | null> {
    // Fetch from StateSet network or cache
    return this.validatedAgents.get(agentId) || null;
  }
  
  private async getAgentPermissions(agentId: string): Promise<Permission[]> {
    // Query permissions from the network
    const agent = await this.statesetClient.agents.get(agentId);
    return agent.permissions || [];
  }
  
  private verifySignature(agentId: string, signature: string, publicKey: string): boolean {
    // Implement signature verification
    return true; // Placeholder
  }
}

interface AgentCredentials {
  agentId: string;
  publicKey: string;
  permissions: Permission[];
}

interface Permission {
  action: string;
  resource: string;
}

2. Message Encryption

// security/message-encryption.ts

export class MessageEncryption {
  async encryptMessage(message: any, recipientPublicKey: string): Promise<string> {
    // Implement end-to-end encryption for sensitive messages
    // Using recipient's public key
    return JSON.stringify(message); // Placeholder
  }
  
  async decryptMessage(encryptedMessage: string, privateKey: string): Promise<any> {
    // Decrypt message using private key
    return JSON.parse(encryptedMessage); // Placeholder
  }
}

Testing and Deployment

1. Unit Tests

// tests/mcp-server.test.ts

import { describe, it, expect } from 'vitest';
import { StateSetMCPServer } from '../src/stateset-mcp-server';

describe('StateSet MCP Server', () => {
  let server: StateSetMCPServer;
  
  beforeEach(() => {
    server = new StateSetMCPServer({
      apiKey: 'test-key',
      networkEndpoint: 'http://localhost:26657',
      chainId: 'test-chain'
    });
  });
  
  it('should list available tools', async () => {
    const tools = await server.listTools();
    
    expect(tools).toContain('send_message');
    expect(tools).toContain('create_order');
    expect(tools).toContain('query_network_state');
    expect(tools).toContain('execute_transaction');
  });
  
  it('should send a message successfully', async () => {
    const result = await server.handleSendMessage({
      recipient: 'agent-123',
      message: 'Test message',
      messageType: 'general',
      metadata: { test: true }
    });
    
    expect(result.isError).toBeFalsy();
    expect(result.metadata.transactionHash).toBeDefined();
  });
  
  it('should handle network errors gracefully', async () => {
    // Simulate network error
    server.statesetClient = null;
    
    const result = await server.handleSendMessage({
      recipient: 'agent-123',
      message: 'Test message',
      messageType: 'general'
    });
    
    expect(result.isError).toBeTruthy();
    expect(result.content[0].text).toContain('Failed to send message');
  });
});

Best Practices

1. Error Handling

class MCPErrorHandler {
  static handleError(error: any, context: string): MCPError {
    if (error.code === 'NETWORK_ERROR') {
      return new MCPError(
        'Network communication failed',
        'NETWORK_ERROR',
        { originalError: error, context }
      );
    }
    
    if (error.code === 'UNAUTHORIZED') {
      return new MCPError(
        'Agent not authorized for this action',
        'AUTH_ERROR',
        { originalError: error, context }
      );
    }
    
    return new MCPError(
      'An unexpected error occurred',
      'UNKNOWN_ERROR',
      { originalError: error, context }
    );
  }
}

class MCPError extends Error {
  constructor(
    message: string,
    public code: string,
    public details: any
  ) {
    super(message);
    this.name = 'MCPError';
  }
}

2. Rate Limiting

class MCPRateLimiter {
  private requests: Map<string, number[]> = new Map();
  
  constructor(
    private maxRequests: number = 100,
    private windowMs: number = 60000 // 1 minute
  ) {}
  
  async checkLimit(agentId: string): Promise<boolean> {
    const now = Date.now();
    const requests = this.requests.get(agentId) || [];
    
    // Remove old requests outside the window
    const validRequests = requests.filter(time => now - time < this.windowMs);
    
    if (validRequests.length >= this.maxRequests) {
      return false;
    }
    
    validRequests.push(now);
    this.requests.set(agentId, validRequests);
    
    return true;
  }
}

3. Monitoring and Observability

class MCPMonitor {
  private metrics: Map<string, any> = new Map();
  
  recordToolCall(toolName: string, agentId: string, duration: number, success: boolean) {
    const key = `tool_call_${toolName}`;
    const current = this.metrics.get(key) || {
      total: 0,
      success: 0,
      failed: 0,
      avgDuration: 0
    };
    
    current.total++;
    if (success) current.success++;
    else current.failed++;
    
    current.avgDuration = (current.avgDuration * (current.total - 1) + duration) / current.total;
    
    this.metrics.set(key, current);
    
    // Send to monitoring service
    this.sendToMonitoring({
      metric: 'mcp.tool_call',
      tags: { tool: toolName, agent: agentId, success: success.toString() },
      value: duration
    });
  }
  
  private sendToMonitoring(metric: any) {
    // Implement sending to Prometheus, DataDog, etc.
    console.log('Metric:', metric);
  }
}

Conclusion

By implementing MCP (Model Context Protocol) for StateSet AI Agents, we enable:

Standardized Communication: All agents can communicate with the StateSet Commerce Network using a unified protocol
Enhanced Capabilities: Agents can perform complex operations like creating orders, processing payments, and managing inventory
Scalability: New tools and services can be easily added to the MCP server
Security: Built-in authentication, authorization, and encryption ensure secure communications
Interoperability: Agents can work together and hand off tasks seamlessly

This implementation provides a robust foundation for AI agents to interact with the StateSet Commerce Network, enabling autonomous commerce operations at scale.

Next Steps

Deploy MCP Server: Set up the MCP server in your environment
Update Agents: Integrate MCP client capabilities into existing agents
Test Integration: Run comprehensive tests to ensure reliability
Monitor Performance: Set up monitoring for MCP operations
Extend Capabilities: Add new tools and resources as needed

For more information and support, visit the StateSet Documentation or join our Discord community.

Overview

Quickstart

StateSet One

StateSet Response

StateSet Commerce

MCP Integration for AI Agents

MCP Integration for StateSet AI Agents

Overview

Table of Contents

Introduction to MCP

Key Benefits

Standardized Communication

Tool Integration

Context Persistence

Architecture Overview

MCP Server Implementation

1. Create the StateSet MCP Server

2. Package Configuration

MCP Client Integration

Integrating MCP Client into AI Agents

StateSet Commerce Network Integration

Message Module Implementation

Message Protocol

Message Types and Formats

Security Considerations

1. Authentication and Authorization

2. Message Encryption

Testing and Deployment

1. Unit Tests

Best Practices

1. Error Handling

2. Rate Limiting

3. Monitoring and Observability

Conclusion

Next Steps

Overview

Quickstart

StateSet One

StateSet Response

StateSet Commerce

​MCP Integration for StateSet AI Agents

​Overview

​Table of Contents

​Introduction to MCP

​Key Benefits

Standardized Communication

Tool Integration

Context Persistence

​Architecture Overview

​MCP Server Implementation

​1. Create the StateSet MCP Server

​2. Package Configuration

​MCP Client Integration

​Integrating MCP Client into AI Agents

​StateSet Commerce Network Integration

​Message Module Implementation

​Message Protocol

​Message Types and Formats

​Security Considerations

​1. Authentication and Authorization

​2. Message Encryption

​Testing and Deployment

​1. Unit Tests

​Best Practices

​1. Error Handling

​2. Rate Limiting

​3. Monitoring and Observability

​Conclusion

​Next Steps

MCP Integration for StateSet AI Agents

Overview

Table of Contents

Introduction to MCP

Key Benefits

Architecture Overview

MCP Server Implementation

1. Create the StateSet MCP Server

2. Package Configuration

MCP Client Integration

Integrating MCP Client into AI Agents

StateSet Commerce Network Integration

Message Module Implementation

Message Protocol

Message Types and Formats

Security Considerations

1. Authentication and Authorization

2. Message Encryption

Testing and Deployment

1. Unit Tests

Best Practices

1. Error Handling

2. Rate Limiting

3. Monitoring and Observability

Conclusion

Next Steps