Log Analyzer with CloudWatch Logs

Provides structured access to CloudWatch Logs data for searching, analyzing, and correlating logs across AWS services to help with troubleshooting and pattern identification.

Log Analyzer with MCP is an AWS Labs-developed server that provides AI assistants with structured access to CloudWatch Logs data. Built in Python using boto3, it exposes a comprehensive set of tools for searching, analyzing, and correlating logs across multiple AWS services. The implementation includes specialized capabilities for error pattern detection, log activity summarization, and cross-service correlation using common identifiers like request IDs. It's particularly valuable for DevOps teams and system administrators who need AI assistance with log analysis for troubleshooting, monitoring, and identifying patterns in their AWS infrastructure logs.