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by cruz-andr • Uncategorized
An MCP server enabling autonomous AI agents to monitor Docker containers and OpenTelemetry traces.
Discover and monitor local Docker containers autonomously.
Tail and filter container logs with PII redaction.
Query and analyze OpenTelemetry distributed traces via Jaeger.
This server bridges static code analysis and runtime observability by allowing LLMs to discover Docker containers, monitor resource usage, tail logs, and analyze distributed traces via Jaeger. It includes built-in PII redaction, context window protection, and graceful error handling to ensure safe and reliable operation. The server is designed specifically for LLMs to interact with observability data securely and efficiently.