Hermes MCP

Hermes MCP is a high-performance framework designed for building distributed Model Context Protocol systems. It provides advanced message routing, load balancing, and orchestration capabilities for complex MCP deployments across multiple nodes and services.

Features

• Message Routing: Intelligent routing of MCP messages across distributed nodes
• Load Balancing: Automatic load distribution with multiple balancing algorithms
• Service Discovery: Dynamic discovery and registration of MCP services
• Fault Tolerance: Circuit breakers, retry mechanisms, and graceful degradation
• Monitoring: Real-time metrics, health checks, and distributed tracing
• Clustering: Multi-node clustering with consensus protocols
• Event Streaming: Event-driven architecture with message streaming
• Protocol Abstraction: Support for multiple transport protocols

Architecture

Hermes MCP follows a distributed architecture pattern:

┌─────────────┐    ┌─────────────┐    ┌─────────────┐
│   Client    │◄──►│   Gateway   │◄──►│  Service A  │
└─────────────┘    └─────────────┘    └─────────────┘
                           │
                    ┌─────────────┐    ┌─────────────┐
                    │ Load Balancer│◄──►│  Service B  │
                    └─────────────┘    └─────────────┘
                           │
                    ┌─────────────┐    ┌─────────────┐
                    │  Registry   │◄──►│  Service C  │
                    └─────────────┘    └─────────────┘

Installation

npm install hermes-mcp
# or
yarn add hermes-mcp

Getting Started

Gateway Setup

import { HermesGateway } from 'hermes-mcp';

const gateway = new HermesGateway({
  port: 3000,
  discovery: {
    type: 'consul',
    address: 'http://localhost:8500'
  },
  loadBalancer: {
    strategy: 'round-robin',
    healthCheck: {
      interval: 30000,
      timeout: 5000
    }
  }
});

// Start the gateway
await gateway.start();

Service Registration

import { HermesService } from 'hermes-mcp';
import { Server } from '@modelcontextprotocol/sdk/server/index.js';

const mcpServer = new Server({
  name: 'data-processing-service',
  version: '1.0.0'
}, {
  capabilities: { tools: {} }
});

// Wrap MCP server with Hermes service
const service = new HermesService(mcpServer, {
  name: 'data-processor',
  tags: ['data', 'analytics'],
  health: {
    endpoint: '/health',
    interval: 15000
  },
  metrics: {
    enabled: true,
    endpoint: '/metrics'
  }
});

// Register and start service
await service.register();
await service.start();

Load Balancing Strategies

Round Robin

const gateway = new HermesGateway({
  loadBalancer: {
    strategy: 'round-robin'
  }
});

Weighted Round Robin

const gateway = new HermesGateway({
  loadBalancer: {
    strategy: 'weighted-round-robin',
    weights: {
      'service-a': 3,
      'service-b': 2,
      'service-c': 1
    }
  }
});

Least Connections

const gateway = new HermesGateway({
  loadBalancer: {
    strategy: 'least-connections',
    stickySession: {
      enabled: true,
      cookieName: 'hermes-session'
    }
  }
});

Service Discovery

Consul Integration

import { ConsulDiscovery } from 'hermes-mcp/discovery';

const discovery = new ConsulDiscovery({
  address: 'http://consul.example.com:8500',
  datacenter: 'dc1',
  token: process.env.CONSUL_TOKEN
});

const gateway = new HermesGateway({
  discovery: discovery
});

Kubernetes Integration

import { KubernetesDiscovery } from 'hermes-mcp/discovery';

const discovery = new KubernetesDiscovery({
  namespace: 'mcp-services',
  selector: 'app=mcp-server',
  kubeconfig: process.env.KUBECONFIG
});

Fault Tolerance

Circuit Breaker

const gateway = new HermesGateway({
  circuitBreaker: {
    enabled: true,
    failureThreshold: 5,
    timeout: 60000,
    monitoringPeriod: 10000
  }
});

Retry Policy

const service = new HermesService(mcpServer, {
  retry: {
    attempts: 3,
    delay: 1000,
    backoff: 'exponential',
    maxDelay: 10000
  }
});

Monitoring and Observability

Metrics Collection

import { PrometheusMetrics } from 'hermes-mcp/metrics';

const metrics = new PrometheusMetrics({
  port: 9090,
  endpoint: '/metrics',
  labels: {
    service: 'hermes-gateway',
    version: '1.0.0'
  }
});

const gateway = new HermesGateway({
  metrics: metrics
});

Distributed Tracing

import { JaegerTracing } from 'hermes-mcp/tracing';

const tracing = new JaegerTracing({
  serviceName: 'hermes-mcp',
  jaegerEndpoint: 'http://jaeger:14268/api/traces',
  samplingRate: 0.1
});

const gateway = new HermesGateway({
  tracing: tracing
});

Event Streaming

Message Broadcasting

import { HermesEventBus } from 'hermes-mcp/events';

const eventBus = new HermesEventBus({
  transport: 'redis',
  redis: {
    host: 'redis.example.com',
    port: 6379
  }
});

// Publish events
eventBus.publish('mcp.tool.called', {
  toolName: 'data_processor',
  userId: 'user123',
  timestamp: Date.now()
});

// Subscribe to events
eventBus.subscribe('mcp.*.called', (event) => {
  console.log('Tool called:', event.data);
});

Event Sourcing

import { EventStore } from 'hermes-mcp/events';

const eventStore = new EventStore({
  storage: 'postgresql',
  connection: process.env.DATABASE_URL,
  snapshotFrequency: 100
});

// Store events
await eventStore.append('mcp-session-123', [
  {
    type: 'ToolCalled',
    data: { tool: 'analyzer', params: { input: 'test' } },
    timestamp: Date.now()
  }
]);

Clustering

Raft Consensus

import { RaftCluster } from 'hermes-mcp/cluster';

const cluster = new RaftCluster({
  nodeId: 'hermes-node-1',
  peers: [
    'hermes-node-2:5000',
    'hermes-node-3:5000'
  ],
  dataDir: './raft-data'
});

const gateway = new HermesGateway({
  cluster: cluster
});

Use Cases

• Microservices Architecture: Orchestrate MCP services in microservices environments
• High Availability: Build fault-tolerant MCP systems with automatic failover
• Scale-out Deployments: Distribute MCP workloads across multiple nodes
• Enterprise Integration: Connect MCP with existing enterprise service meshes
• Edge Computing: Deploy distributed MCP networks across edge locations

Configuration

Environment Variables

# Gateway configuration
HERMES_PORT=3000
HERMES_LOG_LEVEL=info

# Discovery
HERMES_DISCOVERY_TYPE=consul
HERMES_CONSUL_ADDRESS=http://localhost:8500

# Load balancer
HERMES_LB_STRATEGY=round-robin
HERMES_LB_HEALTH_CHECK_INTERVAL=30000

# Metrics
HERMES_METRICS_ENABLED=true
HERMES_METRICS_PORT=9090

Configuration File

# hermes.yaml
gateway:
  port: 3000
  cors:
    origin: "*"
    credentials: true

discovery:
  type: consul
  consul:
    address: http://localhost:8500
    datacenter: dc1

loadBalancer:
  strategy: weighted-round-robin
  healthCheck:
    interval: 30000
    timeout: 5000
    retries: 3

metrics:
  enabled: true
  port: 9090
  path: /metrics

logging:
  level: info
  format: json
  output: stdout

Performance Tuning

• Connection Pooling: Optimize connection management
• Request Batching: Batch multiple requests for better throughput
• Caching: Implement intelligent caching strategies
• Compression: Enable message compression for better network utilization
• Resource Allocation: Fine-tune memory and CPU allocation