Backend Polling Implementation - DeployStack - Enterprise Control Plane for MCP

The DeployStack Satellite implements a sophisticated HTTP polling system for outbound-only communication with the backend. This firewall-friendly approach enables command orchestration, configuration synchronization, and status reporting without requiring inbound connections to the satellite.

Polling Architecture

Core Components

The polling system consists of four integrated services:

┌─────────────────────────────────────────────────────────────────────────────────┐
│                        Satellite Polling Architecture                          │
│                                                                                 │
│  ┌─────────────────┐    ┌─────────────────┐    ┌─────────────────┐           │
│  │ Command Polling │    │ Dynamic Config  │    │ Command         │           │
│  │ Service         │    │ Manager         │    │ Processor       │           │
│  │                 │    │                 │    │                 │           │
│  │ • Adaptive Poll │    │ • MCP Server    │    │ • HTTP Proxy    │           │
│  │ • Command Queue │    │   Config Sync   │    │   Management    │           │
│  │ • Error Backoff │    │ • Validation    │    │ • Health Checks │           │
│  └─────────────────┘    └─────────────────┘    └─────────────────┘           │
│                                                                                 │
│  ┌─────────────────────────────────────────────────────────────────────────┐   │
│  │                    Heartbeat Service                                    │   │
│  │                                                                         │   │
│  │  • Process Status Reporting    • System Metrics Collection             │   │
│  │  • 30-second Intervals         • Error Count Tracking                  │   │
│  └─────────────────────────────────────────────────────────────────────────┘   │
└─────────────────────────────────────────────────────────────────────────────────┘

Service Integration Flow

Startup → Registration → Polling Start → Configuration Sync → Command Processing
   │           │             │               │                    │
Backend    API Key       Poll Timer      MCP Servers         HTTP Proxy
Connect    Received      Started         Updated             Ready

Command Polling Service

Adaptive Polling Strategy

The polling service implements priority-based polling with automatic mode transitions: Immediate Mode (2 seconds):

Activated when immediate priority commands are pending
Used for MCP installations and critical updates
Enables 3-second end-to-end response time goal
Automatically returns to normal mode when immediate commands are processed

High Priority Mode (10 seconds):

Activated when high priority commands are pending
Used for MCP deletions and configuration changes
Balances urgency with resource efficiency

Normal Mode (30 seconds):

Activated when only normal priority commands are pending
Used for routine maintenance and non-urgent tasks
Default polling interval for steady-state operation

Slow Mode (60 seconds):

Used when no commands are pending
Minimizes backend load during idle periods
Automatically switches to faster modes when commands arrive

Error Mode (exponential backoff):

Activated when polling requests fail
Starts at current interval, doubles on each failure
Maximum backoff of 300 seconds (5 minutes)
Resets to appropriate priority mode on successful poll

Polling Implementation

class CommandPollingService {
  private currentPollingMode: 'immediate' | 'normal' | 'error' = 'normal';
  private currentInterval: number = 30; // seconds
  
  private async pollForCommands(): Promise<void> {
    const queryParams = new URLSearchParams();
    queryParams.set('last_poll', this.lastPollTime.toISOString());
    queryParams.set('limit', '10');

    const response = await fetch(
      `${backendUrl}/api/satellites/${satelliteId}/commands?${queryParams}`,
      {
        headers: { 'Authorization': `Bearer ${apiKey}` },
        signal: AbortSignal.timeout(15000)
      }
    );

    const pollResponse = await response.json();
    this.updatePollingStrategy(
      pollResponse.polling_mode, 
      pollResponse.next_poll_interval
    );
  }
}

Command Processing Pipeline

Commands flow through a structured processing pipeline:

Command Validation: Payload validation and format checking
Command Routing: Route to appropriate processor based on command type
Execution: Process command with error handling and timeout
Result Reporting: Send execution results back to backend

Supported Command Types:

configure - Update MCP server configuration
spawn - Start HTTP MCP server proxy
kill - Stop HTTP MCP server proxy
restart - Restart HTTP MCP server proxy
health_check - Perform health checks on all servers

Dynamic Configuration Management

Configuration Sync Process

The satellite replaces hardcoded MCP server configurations with dynamic updates from the backend:

interface ConfigurationUpdate {
  mcp_servers: Record<string, McpServerConfig>;
  polling_intervals?: {
    normal: number;
    immediate: number;
    error_backoff_max: number;
  };
  resource_limits?: {
    max_processes: number;
    max_memory_per_process: string;
  };
}

Configuration Validation

All incoming configurations undergo strict validation: Server Configuration Validation:

URL format validation using new URL()
Server type restriction to ‘http’ only
Timeout value validation (positive numbers)
Required field presence checking

Configuration Change Detection:

Deep comparison of server configurations
Identification of added, removed, and modified servers
Structured logging of all configuration changes

Integration with Existing Services

Configuration updates trigger cascading updates across satellite services:

Config Update → Dynamic Config Manager → HTTP Proxy Manager → Tool Discovery Manager
      │                    │                      │                      │
   Validate            Apply Changes         Re-initialize         Rediscover Tools
   Changes             Update Cache          Proxy Routes          Update Cache

HTTP Proxy Management Integration

Dynamic Server Registration

The HTTP Proxy Manager integrates with the dynamic configuration system:

class HttpProxyManager {
  private configManager?: DynamicConfigManager;
  
  async handleConfigurationUpdate(config: DynamicMcpServersConfig): Promise<void> {
    // Re-initialize proxy routes with new server configurations
    await this.initialize();
  }
}

Server Health Monitoring

The command processor implements health checking for HTTP MCP servers:

private async checkServerHealth(processInfo: ProcessInfo): Promise<HealthResult> {
  const response = await fetch(serverConfig.url, {
    method: 'POST',
    headers: { 'Content-Type': 'application/json', ...serverConfig.headers },
    body: JSON.stringify({
      jsonrpc: '2.0',
      id: 'health-check',
      method: 'tools/list',
      params: {}
    }),
    signal: AbortSignal.timeout(serverConfig.timeout || 10000)
  });
  
  return {
    health_status: response.ok ? 'healthy' : 'unhealthy',
    response_time_ms: Date.now() - startTime
  };
}

Tool Discovery Integration

Dynamic Tool Rediscovery

The Remote Tool Discovery Manager integrates with configuration updates:

class RemoteToolDiscoveryManager {
  async handleConfigurationUpdate(config: DynamicMcpServersConfig): Promise<void> {
    // Reset and rediscover tools from updated server configurations
    this.isInitialized = false;
    this.cachedTools = [];
    await this.initialize();
  }
}

Tool Cache Management

Tool discovery maintains an in-memory cache that updates when server configurations change:

Cache Invalidation: Complete cache reset on configuration changes
Namespace Preservation: Tools maintain server-prefixed naming
Error Resilience: Failed discoveries don’t block other servers
Performance Optimization: Memory-only storage for fast access

Error Handling and Recovery

Polling Error Recovery

The polling service implements comprehensive error handling: Network Errors:

Automatic retry with exponential backoff
Maximum backoff limit of 300 seconds
Connection timeout handling (15 seconds)
Graceful degradation on persistent failures

Authentication Errors:

401 Unauthorized handling
API key validation logging
Structured error reporting to logs

Configuration Errors:

Invalid server configuration rejection
Partial configuration application
Rollback to previous working configuration

Command Execution Error Handling

Command processing includes robust error handling:

async processCommand(command: SatelliteCommand): Promise<CommandResult> {
  try {
    // Execute command with timeout and error handling
    const result = await this.executeCommand(command);
    return { command_id: command.id, status: 'completed', result };
    
  } catch (error) {
    return { 
      command_id: command.id, 
      status: 'failed', 
      error: error.message 
    };
  }
}

Heartbeat Integration

Process Status Reporting

The heartbeat service integrates with the command processor to report process status:

class HeartbeatService {
  setCommandProcessor(commandProcessor: CommandProcessor): void {
    this.commandProcessor = commandProcessor;
  }
  
  private async sendHeartbeat(): Promise<void> {
    const processes = this.commandProcessor ? 
      this.commandProcessor.getAllProcesses() : [];
      
    const payload = {
      status: 'active',
      system_metrics: await this.collectSystemMetrics(),
      processes: processes,
      error_count: 0,
      version: '0.1.0'
    };
  }
}

System Metrics Collection

Current system metrics include:

Memory Usage: Node.js heap usage in MB
Process Uptime: Satellite process uptime in seconds
Process Count: Number of managed HTTP proxy processes
Error Count: Recent error count for health assessment

Development Integration

Service Initialization Order

The polling system requires specific initialization order:

// 1. Backend connection and registration
const backendClient = new BackendClient(backendUrl, logger);
await backendClient.testConnection();
const registration = await backendClient.registerSatellite(data);

// 2. Configuration and processing services
const dynamicConfigManager = new DynamicConfigManager(logger);
const commandProcessor = new CommandProcessor(logger, dynamicConfigManager);

// 3. HTTP proxy and tool discovery with config integration
const httpProxyManager = new HttpProxyManager(server, logger);
httpProxyManager.setConfigManager(dynamicConfigManager);

const toolDiscoveryManager = new RemoteToolDiscoveryManager(logger);
toolDiscoveryManager.setConfigManager(dynamicConfigManager);

// 4. Polling service with handlers
const commandPollingService = new CommandPollingService(satelliteId, backendClient, logger);
commandPollingService.setConfigurationUpdateHandler(handleConfigUpdate);
commandPollingService.setCommandHandler(handleCommand);
commandPollingService.start();

Environment Configuration

Polling behavior is controlled by environment variables:

# Backend connection
DEPLOYSTACK_BACKEND_URL=http://localhost:3000

# Satellite identification
DEPLOYSTACK_SATELLITE_NAME=dev-satellite-001

# Logging level affects polling debug output
LOG_LEVEL=debug

Performance Characteristics

Polling Efficiency

The adaptive polling strategy optimizes resource usage:

Normal Operations: 30-second intervals minimize backend load
Immediate Response: 2-second intervals for urgent commands
Error Backoff: Exponential backoff prevents cascade failures
Network Optimization: Query parameters reduce response size

Memory Usage

The polling system maintains minimal memory footprint:

Configuration Cache: ~1KB per MCP server configuration
Command Queue: Temporary storage for pending commands
Tool Cache: ~1KB per discovered tool
Process Tracking: Minimal metadata per HTTP proxy process

Network Traffic

Polling generates predictable network patterns:

Command Polling: Small JSON requests every 30 seconds (normal mode)
Configuration Sync: Infrequent larger payloads on configuration changes
Heartbeats: Regular status reports every 30 seconds
Command Results: Small JSON responses after command execution

Implementation Status: The polling system is fully implemented and operational. It successfully handles command orchestration, configuration synchronization, and status reporting through outbound-only HTTP communication with the backend.

Troubleshooting

Common Issues

401 Unauthorized Errors:

Indicates missing backend endpoints for satellite management
Expected during development when backend endpoints are not implemented
Satellite continues normal operation, polling will succeed once endpoints exist

Configuration Validation Failures:

Check server URL format and accessibility
Verify server type is set to ‘http’
Ensure timeout values are positive numbers

Polling Failures:

Check backend connectivity and availability
Verify satellite API key is valid
Monitor exponential backoff behavior in logs

Debug Logging

Enable debug logging to monitor polling behavior:

LOG_LEVEL=debug npm run dev

Debug logs include:

Polling attempt details and timing
Configuration update processing
Command execution results
Error handling and recovery actions

​Polling Architecture

​Core Components

​Service Integration Flow

​Command Polling Service

​Adaptive Polling Strategy

​Polling Implementation

​Command Processing Pipeline

​Dynamic Configuration Management

​Configuration Sync Process

​Configuration Validation

​Integration with Existing Services

​HTTP Proxy Management Integration

​Dynamic Server Registration

​Server Health Monitoring

​Tool Discovery Integration

​Dynamic Tool Rediscovery

​Tool Cache Management

​Error Handling and Recovery

​Polling Error Recovery

​Command Execution Error Handling

​Heartbeat Integration

​Process Status Reporting

​System Metrics Collection

​Development Integration

​Service Initialization Order

​Environment Configuration

​Performance Characteristics

​Polling Efficiency

​Memory Usage

​Network Traffic

​Troubleshooting

​Common Issues

​Debug Logging

Polling Architecture

Core Components

Service Integration Flow

Command Polling Service

Adaptive Polling Strategy

Polling Implementation

Command Processing Pipeline

Dynamic Configuration Management

Configuration Sync Process

Configuration Validation

Integration with Existing Services

HTTP Proxy Management Integration

Dynamic Server Registration

Server Health Monitoring

Tool Discovery Integration

Dynamic Tool Rediscovery

Tool Cache Management

Error Handling and Recovery

Polling Error Recovery

Command Execution Error Handling

Heartbeat Integration

Process Status Reporting

System Metrics Collection

Development Integration

Service Initialization Order

Environment Configuration

Performance Characteristics

Polling Efficiency

Memory Usage

Network Traffic

Troubleshooting

Common Issues

Debug Logging