Monitoring · Developer Tools

Logstash MCP Server

mashhurs/logstash-mcp-server

Logstash MCP Server is a tool for monitoring and managing Logstash instances, providing a web interface and various monitoring features including node information, pipeline statistics and performance debugging.

Install

Environment variables

LOGSTASH_API_BASE
Author
@mashhurs
Category
Monitoring, Developer Tools
Updated
Oct 6, 2026

About Logstash MCP Server

This repository is vibe coded, AI generated and not tested properly. Use it with your own risk.

Features

  • Interactive Dashboard: Visual interface to access all Logstash monitoring tools

  • Real-time Monitoring: Check connectivity, node stats, and pipeline performance

  • Health Analysis: Comprehensive health checks with visual feedback

  • Pipeline Management: View statistics for individual or all pipelines

  • Performance Debugging: Hot threads analysis and JVM statistics

  • Plugin Management: Browse installed Logstash plugins

Tools (12)

  • logstash_check_connectivity

    Check connectivity to the Logstash instance with detailed connection status, response times, and error handling.

  • logstash_node_info

    Get Logstash node information including version, build info, and settings.

  • logstash_node_stats

    Get comprehensive node statistics including JVM, process, and pipeline metrics.

  • logstash_pipelines_stats

    Get statistics for all Logstash pipelines.

  • logstash_pipeline_stats

    Get statistics for a specific pipeline.

  • logstash_hot_threads

    Get hot threads information for debugging performance issues.

  • logstash_plugins

    List all installed Logstash plugins.

  • check_backpressure

    Check queue backpressure metrics to monitor pipeline performance and congestion.

  • logstash_health_check

    Perform comprehensive health check with analysis and recommendations.

  • logstash_jvm_stats

    Get detailed JVM statistics for memory analysis.

  • logstash_health_report

    Get detailed health report from Logstash.

  • flow_metrics

    Get detailed flow metrics including throughput, backpressure, and worker concurrency.

Details on this page are taken from the project's README. Open README

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