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@paths.design/caws-mcp-server

v1.1.3

Published

CAWS Model Context Protocol server for AI agent integration

Readme

Author: @darianrosebrook

Status: Production Ready with Structured Logging


Structured Logging

The MCP server now uses pino for high-performance structured logging:

Configuration

Set log level via environment variable:

# Development (default: debug)
export CAWS_LOG_LEVEL=debug

# Production (default: info)
export NODE_ENV=production
export CAWS_LOG_LEVEL=info

# Force JSON output (useful for log aggregation)
export CAWS_LOG_JSON=true

Log Levels

  • error: Errors and exceptions
  • warn: Warning conditions
  • info: Important events (default in production)
  • debug: Detailed debugging information (default in development)

Log Format

Development (pretty-printed):

[2025-10-10 15:30:00] INFO: MCP client initialized - ready for requests

Production (JSON for log aggregation):

{
  "level": "info",
  "time": "2025-10-10T15:30:00.000Z",
  "msg": "MCP client initialized - ready for requests"
}

Contextual Logging

The logger adds structured context to all messages:

// Component-specific logger
this.logger = createChildLogger({ component: 'CawsMonitor' });

// Structured data in logs
this.logger.info({ specId: 'PROV-0001' }, 'Loaded working spec');

// Error logging with context
this.logger.error({ err: error, file: filePath }, 'Error handling file change');

Benefits

  • Structured data: Easy to parse and aggregate
  • Performance: Minimal overhead (asynchronous logging)
  • Production-ready: JSON output for log aggregation
  • Development-friendly: Pretty output with colors
  • Contextual: Rich metadata in every log
  • Standards-compliant: Follows best practices

For more information, see docs/MONITORING.md