Logstash (Server-side Log Pipeline API) Connector for AI agents.
6 live capabilities
Monitor and troubleshoot Logstash data pipelines for production observability.
Waiting for input…
Why people use Logstash (Server-side Log Pipeline API)
Logstash for Real-time Pipeline Observability
This Connector lets you skip the manual work. You can just ask your agent for a health report or a list of hot threads. It pulls the data and tells you exactly what's going on, turning a ten-minute investigation into a ten-second conversation.
What Vinkius changes
You get a conversational interface for your data pipeline diagnostics.
Use it from Claude, ChatGPT, Cursor or another AI client you already have.
One account · 5,900+ Connectors
- Real-world use case 01
Outage Triage
An SRE asks for the health report and hot threads to identify a stuck plugin during a production outage.
- Real-world use case 02
Capacity Planning
A Data Engineer asks for JVM stats and event flow to see if they need to scale the cluster.
- Real-world use case 03
Audit
A DevOps lead asks for a list of all plugins across nodes to ensure security compliance.
Complete set · 6capabilities
The complete Logstash (Server-side Log Pipeline API) capability set.
These are the exact actions your AI can choose when you ask it to work with Logstash (Server-side Log Pipeline API).
01—03
3 capabilities in this set.
Part of 6 available through Logstash (Server-side Log Pipeline API).
- 01 Capability
Get hot threads
Find threads hogging CPU during performance issues. Use this to see exactly what's hanging in your pipeline.
- 02 Capability
Get node info
Get OS environment and configuration details for your nodes. This helps you verify your current environment setup.
- 03 Capability
Get plugins info
List all installed plugins and their current versions. Use this to ensure your environments stay consistent.
04—06
3 capabilities in this set.
Part of 6 available through Logstash (Server-side Log Pipeline API).
- 04 Capability
Get node stats
Pull JVM and event flow statistics for your nodes. Use this to identify memory leaks or processing bottlenecks.
- 05 Capability
Get root
Retrieve root level information for your Logstash instance. This provides a high level look at your setup.
- 06 Capability
Get health report
Get a high level health report for your pipelines. This shows you if your nodes are Green, Yellow, or Red.
Set up in minutes
One URL. Then ask Logstash (Server-side Log Pipeline API) to work.
Claude and ChatGPT only need the Connector URL. Copy it once, add it in settings, and use Logstash (Server-side Log Pipeline API) from the conversation.
Choose your client
Live previewAdvanced clients IDE · CLI
Claude · Web + desktop
Connector URL · ready to paste
Streamable HTTPhttps://edge.vinkius.com/vk_preview_G6cYJLL83M9WJkGchJHvaG5mCmPdAwlj9y4dIbS7/mcp - Step 01
Open Connectors
In Claude Web or Claude Desktop, open Settings and choose Connectors.
- Step 02
Add the URL
Choose Add custom connector, name it Logstash (Server-side Log Pipeline API), and paste the URL above.
- Step 03
Turn it on in chat
Select +, open Connectors, and enable Logstash (Server-side Log Pipeline API) for the conversation.
ChatGPT · Web + desktop
Connector URL · ready to paste
Streamable HTTPhttps://edge.vinkius.com/vk_preview_G6cYJLL83M9WJkGchJHvaG5mCmPdAwlj9y4dIbS7/mcp - Step 01
Open MCP settings
On desktop, open Settings and MCP servers. On web, open your workspace app or connector settings.
- Step 02
Add the URL
Choose Add server with Streamable HTTP, or create a custom MCP app, then paste the Logstash (Server-side Log Pipeline API) URL.
- Step 03
Save and start
Save the connection and enable Logstash (Server-side Log Pipeline API) in your conversation. Desktop may ask you to restart once.
Cursor · IDE configuration
Advanced setup
{
"mcpServers": {
"logstash-server-side-log-pipeline-api": {
"url": "https://edge.vinkius.com/vk_preview_G6cYJLL83M9WJkGchJHvaG5mCmPdAwlj9y4dIbS7/mcp"
}
}
}- Step 01
Open MCP Settings
Press Cmd+Shift+P (macOS) or Ctrl+Shift+P (Windows/Linux) → search "MCP Settings"
- Step 02
Add the server config
Paste the JSON configuration above into the mcp.json file that opens
- Step 03
Save the file
Cursor will automatically detect the new Connector
- Step 04
Start using Logstash (Server-side Log Pipeline API)
Open Agent mode in chat and ask: "Using Logstash (Server-side Log Pipeline API), help me...". 6 tools available
VS Code Copilot · IDE configuration
Advanced setup
{
"mcpServers": {
"logstash-server-side-log-pipeline-api": {
"url": "https://edge.vinkius.com/vk_preview_G6cYJLL83M9WJkGchJHvaG5mCmPdAwlj9y4dIbS7/mcp"
}
}
}- Step 01
Create MCP config
Create a .vscode/mcp.json file in your project root
- Step 02
Add the server config
Paste the JSON configuration above
- Step 03
Enable Agent mode
Open GitHub Copilot Chat and switch to Agent mode using the dropdown
- Step 04
Start using Logstash (Server-side Log Pipeline API)
Ask Copilot: "Using Logstash (Server-side Log Pipeline API), help me...". 6 tools available
Windsurf · IDE configuration
Advanced setup
{
"mcpServers": {
"logstash-server-side-log-pipeline-api": {
"url": "https://edge.vinkius.com/vk_preview_G6cYJLL83M9WJkGchJHvaG5mCmPdAwlj9y4dIbS7/mcp"
}
}
}- Step 01
Open MCP Settings
Go to Settings → MCP Configuration or press Cmd+Shift+P and search "MCP"
- Step 02
Add the server
Paste the JSON configuration above into mcp_config.json
- Step 03
Save and reload
Windsurf will detect the new server automatically
- Step 04
Start using Logstash (Server-side Log Pipeline API)
Open Cascade and ask: "Using Logstash (Server-side Log Pipeline API), help me...". 6 tools available
Cline · IDE configuration
Advanced setup
{
"mcpServers": {
"logstash-server-side-log-pipeline-api": {
"url": "https://edge.vinkius.com/vk_preview_G6cYJLL83M9WJkGchJHvaG5mCmPdAwlj9y4dIbS7/mcp"
}
}
}- Step 01
Open Cline MCP Settings
Click the Connectors icon in the Cline sidebar panel
- Step 02
Add remote server
Click "Add Connector" and paste the configuration above
- Step 03
Enable the server
Toggle the server switch to ON
- Step 04
Start using Logstash (Server-side Log Pipeline API)
Ask Cline: "Using Logstash (Server-side Log Pipeline API), help me...". 6 tools available
Claude Code · Terminal command
Advanced setup
claude mcp add logstash-server-side-log-pipeline-api --transport http "https://edge.vinkius.com/vk_preview_G6cYJLL83M9WJkGchJHvaG5mCmPdAwlj9y4dIbS7/mcp"- Step 01
Install Claude Code
Run npm install -g @anthropic-ai/claude-code if not already installed
- Step 02
Add the Connector
Run the command above in your terminal
- Step 03
Verify the connection
Run claude mcp to list connected servers, or type /mcp inside a session
- Step 04
Start using Logstash (Server-side Log Pipeline API)
Ask Claude: "Using Logstash (Server-side Log Pipeline API), show me...". 6 tools are ready
Where the request belongs
Work Logstash can move forward.
The DevOps engineer who's tired of clicking through dashboards at 2am during a production outage.
DevOps Engineer
Checks node health and JVM metrics during peak traffic windows to ensure stability.
SRE
Troubleshoots performance bottlenecks by inspecting hot threads during active incidents.
Data Engineer
Verifies pipeline settings and plugin versions across different environments to maintain parity.
Build the capability set
Add more capabilities.
Each Connector adds new actions and data without changing how you work.
Browse ConnectorsSumo Logic
Manage logs, metrics, and collectors via Sumo Logic. run search jobs, monitor infrastructure, and manage collectors directly from any AI agent.
Prometheus
Monitor your infrastructure with Prometheus. run PromQL queries, analyze metrics, and manage time-series data directly from your AI agent.
HyperDX (Open Source Observability)
Monitor logs, events, and alerts via HyperDX. search logs, manage alert rules, and inspect dashboards directly from your AI agent.
Loggly (Cloud Log Management API)
Manage cloud logs via Loggly. send events, execute Lucene searches, and analyze infrastructure metrics directly from your AI agent.
Logz.io
Query logs, manage alerts, and monitor triggered events in Logz.io directly from your AI agent using Elasticsearch DSL.
Datadog
Monitor applications via Datadog. query performance metrics, search logs, and list active monitors directly from any AI agent.
Bring your own AI
Change the model, client or framework. Keep Logstash connected.
-
Claude -
ChatGPT -
Gemini -
Cursor -
VS Code -
Windsurf -
ZCode -
Cline -
Zed -
Continue -
Kiro -
Roo Code -
Zencoder -
Goose -
Void -
Augment Code -
Amp -
Qodo -
Tabnine -
Pieces -
Sourcegraph Cody -
JetBrains -
Warp -
Amazon Q -
Antigravity -
BoltAI -
Raycast -
Jan -
LM Studio -
AnythingLLM -
Open WebUI -
Msty -
Cherry Studio -
LibreChat -
TypingMind -
Chorus -
5ire -
n8n -
LangChain -
LlamaIndex -
CrewAI -
Vercel AI SDK
Before you connect
Questions about Logstash.
The practical details behind the request, access and result.
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 capability. 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 capability retrieves a complete list of all currently installed Logstash plugins along with their specific version numbers.
One connection away
Give your agent a direct line to Logstash.
Connect Logstash once. Keep it beside 5,900+ managed Connectors when the next task needs more.
Explore every Connector No credit card required · Free tier available