How to Use the Logstash (Server-side Log Pipeline API) MCP in Cursor

Q: How do I add the Logstash (Server-side Log Pipeline API) MCP Server to Cursor?

Create or edit your .cursor/mcp.json file in your project root and add the server under the mcpServers block. Once saved, the Cursor agent can immediately invoke the monitoring tools during your coding chat sessions.

Q: Can Cursor automatically fix a slow pipeline using the Logstash (Server-side Log Pipeline API) MCP Server?

Cursor can identify the exact bottleneck by running gethotthreads and getnodestats. It will then suggest specific changes to your pipeline configuration files, though you must approve the edits before they apply.

Q: How does gethealthreport prevent bad deployments?

The agent runs gethealthreport to verify the cluster status before you push config changes. If the node is yellow or red, the agent alerts you so you do not deploy changes to an already unstable node.

Debug Logstash ingestion performance and edit configurations live inside Cursor using real-time node stats.

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Connect Logstash (Server-side Log Pipeline API) MCP to Cursor

Create your Vinkius account to connect Logstash (Server-side Log Pipeline API) to Cursor and route execution through our secure gateway. The platform manages server hosting, runtime updates, and security layers. Configuration requires no manual server provisioning.

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Setup Logstash (Server-side Log Pipeline API) with Cursor

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Analyze Logstash Performance in Cursor Agent Mode

`get_node_stats` brings live performance metrics directly into your active coding session. Your editor's agent reads CPU, memory, and queue sizes to suggest configuration edits. It combines this data with `get_health_report` to warn you if your local changes are causing cluster degradation. You write your pipeline configurations against real-time operational data.

Find Slow Plugins in Your Code Editor

`get_hot_threads` pulls active stack traces directly into your editor sidebar. When your pipeline backs up, the agent analyzes these traces to find the exact line in your filter config causing the block. By calling `get_plugins_info`, the agent also checks if you are using outdated or inefficient plugins. It then suggests direct code replacements for your configuration files.

Verify Node Specs with an MCP Server

`get_node_info` retrieves the hardware and OS specifications of your running Logstash instance. The agent uses this to ensure your thread count settings match your actual CPU cores. It also runs `get_root` to verify API accessibility before attempting complex diagnostic tasks. This keeps your development environment perfectly synced with your target deployment specs.

Setup guide

Set up Logstash (Server-side Log Pipeline API) MCP in Cursor

Prerequisites

Cursor installed (macOS, Windows, or Linux)
Active Vinkius subscription with a valid endpoint token

1

Open MCP Settings

Go to Cursor Settings → MCP or open the Command Palette (Cmd+Shift+P / Ctrl+Shift+P) and search for "MCP: Add Server".
2

Add the Logstash (Server-side Log Pipeline API) MCP

Cursor will create or open .cursor/mcp.json in your project root. Paste the JSON snippet on the right. Replace [YOUR_TOKEN_HERE] with your endpoint token from cloud.vinkius.com.
3

Enable Agent mode

Open Composer (Cmd+I / Ctrl+I) and switch to Agent mode using the dropdown at the top. MCP tools are only available in Agent mode.
4

Verify the connection

Ask Cursor something like "List my recent Logstash (Server-side Log Pipeline API) transactions." If the MCP tools are loaded correctly, Cursor will call the Logstash (Server-side Log Pipeline API) tools automatically. You can also check Settings → MCP for a green status indicator.

.cursor/mcp.json

{
  "mcpServers": {
    "logstash-server-side-log-pipeline-api-mcp": {
      "url": "https://edge.vinkius.com/[YOUR_TOKEN_HERE]/mcp"
    }
  }
}

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Common questions about Logstash (Server-side Log Pipeline API) MCP in Cursor

Create or edit your `.cursor/mcp.json` file in your project root and add the server under the `mcpServers` block. Once saved, the Cursor agent can immediately invoke the monitoring tools during your coding chat sessions.

Cursor can identify the exact bottleneck by running `get_hot_threads` and `get_node_stats`. It will then suggest specific changes to your pipeline configuration files, though you must approve the edits before they apply.

Yes, this server needs access to an active Logstash monitoring API. It queries the API to fetch live metrics and configuration data, which the Cursor agent uses to guide your development.

The agent runs `get_health_report` to verify the cluster status before you push config changes. If the node is yellow or red, the agent alerts you so you do not deploy changes to an already unstable node.

Yes, only Logstash JVM telemetry, node configurations, and plugin lists are read by the tools. Vinkius runs the server in an isolated sandbox, ensuring your performance data remains secure and private.

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