# Logstash MCP for AI Agents AI Agent Connect

> Logstash MCP for AI Agents. Monitor and manage your data pipelines by checking node health, inspecting JVM stats, and finding hot threads directly through your AI client.

## Overview
- **Category:** devops-cicd
- **Price:** Free
- **Endpoint:** https://edge.vinkius.com/vk_preview_G6cYJLL83M9WJkGchJHvaG5mCmPdAwlj9y4dIbS7/ai-agent-connect
- **Tags:** logstash, elastic-stack, observability, pipeline-monitoring, node-metrics

## Description

This Logstash MCP connects your instance to an agent to manage your data processing pipelines through natural conversation. Instead of memorizing port numbers or running manual curl commands to check your cluster, you just talk to your agent. It handles the heavy lifting of querying the API for you. You can ask about the current health of your nodes, check if your JVM is hitting its limits, or find out why a specific pipeline is lagging. If a node goes red, you don't have to hunt for the cause. You can ask for the hot threads to see exactly what's hanging. This Connector makes it easy to keep your observability stack running smoothly, and since it's part of the Vinkius catalog, it plugs right into your existing workflow without extra friction. It turns your agent into a specialized SRE that knows your specific environment. You get a direct line to your node stats and hot threads, meaning you can identify bottlenecks and confirm if your JVM is healthy in seconds. No more jumping between tabs or guessing what's wrong.

## Tools

### get_hot_threads
Find threads hogging CPU during performance issues. Use this to see exactly what's hanging in your pipeline.

### get_node_info
Get OS environment and configuration details for your nodes. This helps you verify your current environment setup.

### get_plugins_info
List all installed plugins and their current versions. Use this to ensure your environments stay consistent.

### get_node_stats
Pull JVM and event flow statistics for your nodes. Use this to identify memory leaks or processing bottlenecks.

### get_root
Retrieve root level information for your Logstash instance. This provides a high level look at your setup.

### get_health_report
Get a high level health report for your pipelines. This shows you if your nodes are Green, Yellow, or Red.

## Prompt Examples

**Prompt:** 
```
What is the current health status of my Logstash instance?
```

**Response:** 
```
I've checked the health report. Your Logstash instance is currently **green**. All pipelines are functioning normally and no issues were detected in the latest report.
```

**Prompt:** 
```
Show me the JVM and event statistics for this node.
```

**Response:** 
```
Fetching node statistics...

| Metric | Value |
| :--- | :--- |
| **JVM Heap Usage** | 45% |
| **Event Processing** | ~1,200 events/sec |
| **Failures** | 0 in last 5 mins |

The pipeline is processing steadily with no errors detected.
```

**Prompt:** 
```
Are there any hot threads causing performance issues right now?
```

**Response:** 
```
I've analyzed the hot threads. There is one thread related to the **elasticsearch** output plugin consuming 15% CPU, but overall the process looks stable. No critical bottlenecks detected.
```

## Capabilities

### Get real-time health reports
This Connector pulls current status for your pipelines to show if nodes are Green, Yellow, or Red.

### Identify CPU-heavy hot threads
You can find specific threads hogging resources to troubleshoot performance issues instantly.

### View JVM and event flow stats
This Connector retrieves detailed statistics on your heap usage and event processing speeds.

### Inspect node configuration details
Get a look at your OS environment and specific node settings without manual inspection.

### Audit installed plugin versions
Verify that every node in your cluster is running the correct plugin versions for consistency.

## Use Cases

### Outage Triage
An SRE asks for the health report and hot threads to identify a stuck plugin during a production outage.

### Capacity Planning
A Data Engineer asks for JVM stats and event flow to see if they need to scale the cluster.

### Audit
A DevOps lead asks for a list of all plugins across nodes to ensure security compliance.

### Troubleshooting
A pipeline is slow. The user asks for hot threads to see if a specific output plugin is the culprit.

## Benefits

- Faster incident response: Use get_hot_threads to find bottlenecks in seconds rather than minutes.
- Easier health checks: Get a clear Green/Yellow/Red status with get_health_report without opening a dashboard.
- Better environment parity: Verify every plugin version with get_plugins_info to stop environment drift.
- Deep dive visibility: Access JVM and event stats via get_node_stats to spot memory leaks early.
- Instant environment context: Use get_node_info to see OS and config details without hunting through files.

## How It Works

The bottom line is you get a conversational interface for your data pipeline diagnostics.

1. Connect your Logstash instance by subscribing to this Connector.
2. Provide your API URL and any necessary credentials.
3. Ask your agent questions about your pipeline health and node stats.

## Frequently Asked Questions

**How does the Logstash MCP help with production outages?**
It gives you instant access to hot threads and health reports. You can quickly identify which parts of your pipeline are hanging without digging through logs.

**Can I use the Logstash MCP to see if my JVM is overloaded?**
Yes, it pulls real-time JVM and node stats. You can ask your agent to check the heap usage or processing speeds at any time.

**Does the Logstash MCP support checking plugin versions?**
Yes, it can list all installed plugins and their versions. This is great for ensuring your environments stay consistent across different nodes.

**Can I use the Logstash MCP to see node configuration?**
Yes, it can retrieve OS environment details and node settings. This helps you verify your current setup through a simple chat.

**Is the Logstash MCP good for data engineers?**
It's excellent for data engineers who need to verify pipeline settings and node health across different environments quickly.

**How do I connect Logstash to my AI agent?**
Once you subscribe to this Connector, you just need to provide your Logstash API URL and any necessary credentials to your AI client.

**How can I check if my Logstash pipelines are running correctly?**
You can use the `get_health_report` tool. It returns a status report (green, yellow, or red) for the Logstash instance and its active pipelines, allowing you to quickly identify any operational issues.

**Can the AI help me find performance bottlenecks in my Logstash node?**
Yes! Use `get_node_stats` to see detailed JVM and event metrics, or `get_hot_threads` to see which parts of the process are consuming the most CPU. This helps pinpoint exactly where the slowdown is occurring.

**Is it possible to list all installed plugins and their versions?**
Absolutely. The `get_plugins_info` tool retrieves a complete list of all currently installed Logstash plugins along with their specific version numbers.