Logstash

1

Integrates with Logstash instances to provide real-time monitoring, performance analysis, and debugging capabilities including JVM memory tracking, pipeline statistics, hot threads analysis, and queue backpressure detection for ELK stack deployments.

GitHub
Category MCP Servers
Added Mar 28, 2026
Views 58

About

This Logstash MCP server provides direct API integration with Logstash instances for monitoring and performance analysis, featuring 12 specialized tools including connectivity verification, JVM memory analysis, pipeline statistics, hot threads debugging, and queue backpressure monitoring. Built with Python using aiohttp and Flask, it includes both a command-line MCP interface and a web UI for interactive dashboard access, making it valuable for DevOps teams managing ELK stack deployments who need real-time visibility into Logstash performance bottlenecks, pipeline health, and resource utilization through conversational interfaces.

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