---
title: 'Monitoring & Logging'
description: 'Monitor your MCP servers and analyze system logs with MCPHub'
---

## Overview

MCPHub provides comprehensive monitoring and logging capabilities to help you track server performance, debug issues, and maintain system health.

## Real-time Monitoring

### Server Status Dashboard

The MCPHub dashboard provides real-time monitoring of all registered MCP servers:

- **Server Health**: Online/offline status with automatic health checks
- **Response Times**: Average, min, max response times per server
- **Request Volume**: Requests per second/minute/hour
- **Error Rates**: Success/failure ratios and error trends
- **Resource Usage**: Memory and CPU utilization (when available)

### Health Check Configuration

Configure health checks for your MCP servers:

```json
{
  "healthCheck": {
    "enabled": true,
    "interval": 30000,
    "timeout": 5000,
    "retries": 3,
    "endpoints": {
      "ping": "/health",
      "tools": "/tools/list"
    }
  }
}
```

### Monitoring API

Get monitoring data programmatically:

```bash
# Get server health status
curl http://localhost:3000/api/monitoring/health

# Get performance metrics
curl http://localhost:3000/api/monitoring/metrics?server=my-server&range=1h

# Get system overview
curl http://localhost:3000/api/monitoring/overview
```

## Logging System

### Log Levels

MCPHub supports standard log levels:

- **ERROR**: Critical errors requiring immediate attention
- **WARN**: Warning conditions that should be monitored
- **INFO**: General operational messages
- **DEBUG**: Detailed debugging information
- **TRACE**: Very detailed trace information

### Log Configuration

Configure logging in your environment:

```bash
# Set log level
LOG_LEVEL=info

# Enable structured logging
LOG_FORMAT=json

# Log file location
LOG_FILE=/var/log/mcphub/app.log

# Enable request logging
ENABLE_REQUEST_LOGS=true
```

### Structured Logging

MCPHub uses structured logging for better analysis:

```json
{
  "timestamp": "2024-01-20T10:30:00Z",
  "level": "info",
  "message": "MCP server request completed",
  "server": "github-mcp",
  "tool": "search_repositories",
  "duration": 245,
  "status": "success",
  "requestId": "req_123456",
  "userId": "user_789"
}
```

## Log Management

### Log Storage Options

#### File-based Logging

```yaml
# docker-compose.yml
services:
  mcphub:
    volumes:
      - ./logs:/app/logs
    environment:
      - LOG_FILE=/app/logs/mcphub.log
      - LOG_ROTATION=daily
      - LOG_MAX_SIZE=100MB
      - LOG_MAX_FILES=7
```

#### Database Logging

```json
{
  "logging": {
    "database": {
      "enabled": true,
      "table": "logs",
      "retention": "30d",
      "indexes": ["timestamp", "level", "server"]
    }
  }
}
```

#### External Log Services

```bash
# Syslog integration
SYSLOG_ENABLED=true
SYSLOG_HOST=localhost
SYSLOG_PORT=514
SYSLOG_FACILITY=local0

# ELK Stack integration
ELASTICSEARCH_URL=http://localhost:9200
ELASTICSEARCH_INDEX=mcphub-logs
```

### Log Rotation

Automatic log rotation configuration:

```json
{
  "logRotation": {
    "enabled": true,
    "maxSize": "100MB",
    "maxFiles": 10,
    "compress": true,
    "interval": "daily"
  }
}
```

## Metrics Collection

### System Metrics

MCPHub collects various system metrics:

```javascript
// Example metrics collected
{
  "timestamp": "2024-01-20T10:30:00Z",
  "metrics": {
    "requests": {
      "total": 1547,
      "success": 1523,
      "errors": 24,
      "rate": 12.5
    },
    "servers": {
      "online": 8,
      "offline": 2,
      "total": 10
    },
    "performance": {
      "avgResponseTime": 156,
      "p95ResponseTime": 324,
      "p99ResponseTime": 567
    },
    "system": {
      "memoryUsage": "245MB",
      "cpuUsage": "15%",
      "uptime": "72h 35m"
    }
  }
}
```

### Custom Metrics

Add custom metrics for your use case:

```javascript
// Custom metric example
const customMetric = {
  name: 'tool_usage',
  type: 'counter',
  tags: {
    server: 'github-mcp',
    tool: 'search_repositories',
    result: 'success',
  },
  value: 1,
};

// Send to metrics endpoint
await fetch('/api/monitoring/metrics', {
  method: 'POST',
  headers: { 'Content-Type': 'application/json' },
  body: JSON.stringify(customMetric),
});
```

## Alerting

### Alert Configuration

Set up alerts for critical conditions:

```json
{
  "alerts": {
    "serverDown": {
      "condition": "server.status == 'offline'",
      "duration": "5m",
      "severity": "critical",
      "channels": ["email", "slack"]
    },
    "highErrorRate": {
      "condition": "errors.rate > 0.1",
      "duration": "2m",
      "severity": "warning",
      "channels": ["slack"]
    },
    "slowResponse": {
      "condition": "response.p95 > 1000",
      "duration": "5m",
      "severity": "warning",
      "channels": ["email"]
    }
  }
}
```

### Notification Channels

#### Email Notifications

```bash
# Email configuration
SMTP_HOST=smtp.gmail.com
SMTP_PORT=587
SMTP_USER=alerts@yourcompany.com
SMTP_PASS=your-app-password
ALERT_EMAIL_TO=admin@yourcompany.com
```

#### Slack Integration

```bash
# Slack webhook
SLACK_WEBHOOK_URL=https://hooks.slack.com/services/...
SLACK_CHANNEL=#mcphub-alerts
```

#### Webhook Notifications

```json
{
  "webhooks": [
    {
      "url": "https://your-service.com/webhooks/mcphub",
      "events": ["server.down", "error.rate.high"],
      "headers": {
        "Authorization": "Bearer your-token"
      }
    }
  ]
}
```

## Log Analysis

### Query Logs

Use the logs API to query and analyze logs:

```bash
# Get recent errors
curl "http://localhost:3000/api/logs?level=error&since=1h"

# Search logs by server
curl "http://localhost:3000/api/logs?server=github-mcp&limit=100"

# Get logs for specific request
curl "http://localhost:3000/api/logs?requestId=req_123456"

# Filter by time range
curl "http://localhost:3000/api/logs?from=2024-01-20T00:00:00Z&to=2024-01-20T23:59:59Z"
```

### Log Aggregation

Aggregate logs for insights:

```bash
# Error summary by server
curl "http://localhost:3000/api/logs/aggregate?groupBy=server&level=error&since=24h"

# Request volume over time
curl "http://localhost:3000/api/logs/aggregate?groupBy=hour&type=request&since=7d"
```

## Performance Monitoring

### Response Time Tracking

Monitor MCP server response times:

```javascript
// Response time metrics
{
  "server": "github-mcp",
  "tool": "search_repositories",
  "metrics": {
    "calls": 156,
    "avgTime": 234,
    "minTime": 89,
    "maxTime": 1205,
    "p50": 201,
    "p95": 567,
    "p99": 892
  }
}
```

### Error Rate Monitoring

Track error rates and patterns:

```bash
# Get error rates by server
curl "http://localhost:3000/api/monitoring/errors?groupBy=server&since=1h"

# Get error details
curl "http://localhost:3000/api/monitoring/errors?server=github-mcp&details=true"
```

## Integration with External Tools

### Prometheus Integration

Export metrics to Prometheus:

```yaml
# prometheus.yml
scrape_configs:
  - job_name: 'mcphub'
    static_configs:
      - targets: ['localhost:3000']
    metrics_path: '/api/monitoring/prometheus'
    scrape_interval: 30s
```

### Grafana Dashboards

Import MCPHub Grafana dashboard:

```json
{
  "dashboard": {
    "title": "MCPHub Monitoring",
    "panels": [
      {
        "title": "Server Status",
        "type": "stat",
        "targets": [
          {
            "expr": "mcphub_servers_online",
            "legendFormat": "Online"
          }
        ]
      },
      {
        "title": "Request Rate",
        "type": "graph",
        "targets": [
          {
            "expr": "rate(mcphub_requests_total[5m])",
            "legendFormat": "Requests/sec"
          }
        ]
      }
    ]
  }
}
```

### ELK Stack Integration

Configure Logstash for log processing:

```ruby
# logstash.conf
input {
  beats {
    port => 5044
  }
}

filter {
  if [fields][service] == "mcphub" {
    json {
      source => "message"
    }

    date {
      match => [ "timestamp", "ISO8601" ]
    }
  }
}

output {
  elasticsearch {
    hosts => ["localhost:9200"]
    index => "mcphub-logs-%{+YYYY.MM.dd}"
  }
}
```

## Troubleshooting

### Common Monitoring Issues

**Missing Metrics**

```bash
# Check metrics endpoint
curl http://localhost:3000/api/monitoring/health

# Verify configuration
grep -r "monitoring" /path/to/config/
```

**Log File Issues**

```bash
# Check log file permissions
ls -la /var/log/mcphub/

# Verify disk space
df -h /var/log/

# Check log rotation
logrotate -d /etc/logrotate.d/mcphub
```

**Performance Issues**

```bash
# Monitor system resources
top -p $(pgrep -f mcphub)

# Check database connections
curl http://localhost:3000/api/monitoring/database

# Analyze slow queries
curl http://localhost:3000/api/monitoring/slow-queries
```

### Debug Mode

Enable debug logging for troubleshooting:

```bash
# Enable debug mode
DEBUG=mcphub:* npm start

# Or set environment variable
export DEBUG=mcphub:monitoring,mcphub:logging
```

## Best Practices

### Log Management

- Use structured logging with consistent formats
- Implement proper log levels and filtering
- Set up log rotation and retention policies
- Monitor log file sizes and disk usage

### Monitoring Setup

- Configure appropriate health check intervals
- Set up alerts for critical conditions
- Monitor both system and application metrics
- Use dashboards for visual monitoring

### Performance Optimization

- Index log database tables appropriately
- Use log sampling for high-volume scenarios
- Implement proper caching for metrics
- Regular cleanup of old logs and metrics

### Security Considerations

- Sanitize sensitive data in logs
- Secure access to monitoring endpoints
- Use authentication for external integrations
- Encrypt log transmission when using external services