# Logstash

> Use this tool when you need to monitor and analyze Logstash performance, identify bottlenecks, and optimize pipeline health. It provides real-time visibility into resource utilization, pipeline statistics, and debugging information through command-line and web UI interfaces. Ideal for DevOps teams managing ELK stack deployments, Logstash offers specialized tools for connectivity verification, JVM memory analysis, and queue backpressure monitoring.

Canonical page: https://skillsregistry.net/skills/mashhurs-logstash  
JSON: https://api.skillsregistry.net/v1/skills/mashhurs-logstash

## Description

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.

## Trust

- **Trust score (0–1):** 0.50
- **Verification tier:** unverified

## Facts

- **Version:** 1.0.0
- **Skill type:** atomic
- **Execution layer:** mcp-remote
- **Runtime environment:** api
- **Category:** devops-ci
- **Updated:** 2026-04-25

## Source

- **Source listing:** [PulseMCP](https://www.pulsemcp.com/servers/mashhurs-logstash)
- **Repository:** <https://github.com/mashhurs/logstash-mcp-server>

## Use it

Resolve this record through the SkillsRegistry MCP server (no auth, read-only):

```
claude mcp add --transport http --scope user skillsregistry https://api.skillsregistry.net/mcp
```

```json
{
  "jsonrpc": "2.0",
  "id": 1,
  "method": "tools/call",
  "params": {
    "name": "get_skill",
    "arguments": {
      "slug": "mashhurs-logstash"
    }
  }
}
```

REST: `GET https://api.skillsregistry.net/v1/skills/mashhurs-logstash` · pull for local use: `GET https://api.skillsregistry.net/v1/skills/mashhurs-logstash/pull`

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SkillsRegistry indexes agent skills from public registries and GitHub. Skills we have analysed are scanned with Circle-IR and scored on six dimensions; each listing states its scan coverage. More: https://skillsregistry.net/llms.txt
