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

Q: Can I limit which Logstash (Server-side Log Pipeline API) tools are exposed to Google ADK?

Yes, the SDK allows you to pass a toolnames filter when setting up your toolset. This lets you restrict your agent to safe actions like gethealthreport while hiding deeper diagnostic tools.

Q: Why does getroot return a 200 OK but no metrics?

The getroot tool queries the base Logstash endpoint to verify that the API is alive and reachable. It serves as a quick connection test before you execute heavier resource-intensive monitoring tools.

Run real-time Logstash diagnostic tools inside your Google ADK pipelines for enterprise observability.

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

Create your Vinkius account to connect Logstash (Server-side Log Pipeline API) to Google ADK 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 Google ADK

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Analyze pipeline health inside Google ADK

The `get_health_report` tool pulls the overall operational status of your Logstash instance. Your Gemini agent queries this endpoint to check if the cluster is green or suffering from severe ingestion lag. This MCP Server maps the health response directly into your agent's context window. You can trigger automated alerts or write BigQuery logs when the status changes from green to yellow.

Inspect node configurations instantly

The `get_node_info` tool retrieves system details, OS specs, and JVM configurations from the target node. Your agent uses this data to confirm memory allocations and garbage collection settings. By analyzing this output, Gemini can recommend JVM heap adjustments based on actual physical memory. It eliminates the guesswork when configuring heavy log-processing pipelines.

Trace execution bottlenecks on the fly

The `get_hot_threads` tool captures active stack traces to show where the Logstash JVM is spending its time. Your agent runs this when CPU spikes occur to see if a specific filter is hanging. If a custom ruby filter gets stuck in an infinite loop, your MCP Server lets the agent isolate the thread name. You get a clean breakdown of the performance bottleneck without digging through log files manually.

Setup guide

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

Prerequisites

Python 3.10+ installed
google-adk package (pip install google-adk)
Active Vinkius subscription with a valid endpoint token

1

Install Google ADK

Run pip install google-adk to install the Agent Development Kit. MCP support is included via the McpToolset class.
2

Connect via SSE transport

Use McpToolset.from_server() with SseServerParams pointing to your Vinkius endpoint. Replace [YOUR_TOKEN_HERE] with your token from cloud.vinkius.com.
3

Create an LlmAgent

Pass the returned mcp_tools list directly to LlmAgent(tools=mcp_tools). The ADK maps each MCP tool to a native Gemini function call — no manual schema definitions required.
4

Run with any Gemini model

The agent works with any Gemini model (gemini-2.0-flash, gemini-2.5-pro, etc.). Copy the full example on the right to get started with Logstash (Server-side Log Pipeline API) tools in your ADK agent.

agent.py

from google.adk.agents import LlmAgent
from google.adk.tools.mcp_tool.mcp_toolset import McpToolset
from google.adk.tools.mcp_tool.mcp_session_manager import SseServerParams

# Connect to the MCP via SSE
mcp_tools, exit_stack = await McpToolset.from_server(
    connection_params=SseServerParams(
        url="https://edge.vinkius.com/[YOUR_TOKEN_HERE]/mcp"
    )
)

# Create your agent with auto-discovered tools
agent = LlmAgent(
    name="Logstash (Server-side Log Pipeline API)_agent",
    model="gemini-2.0-flash",
    instruction="You have access to Logstash (Server-side Log Pipeline API) tools via MCP.",
    tools=mcp_tools,
)

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Independent Platform Disclaimer: Vinkius is an independent platform and is not affiliated with, endorsed by, sponsored by, verified by, or otherwise authorized by Logstash. All third-party trademarks, logos, and brand names are the property of their respective owners. Their use on this website is strictly for informational purposes to identify service compatibility and interoperability.

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

You initialize the MCP Server using McpToolset with your Vinkius HTTP URL and pass it to your LlmAgent. The agent then calls tools like `get_node_stats` directly during conversational reasoning.

Yes, the SDK allows you to pass a tool_names filter when setting up your toolset. This lets you restrict your agent to safe actions like `get_health_report` while hiding deeper diagnostic tools.

The `get_root` tool queries the base Logstash endpoint to verify that the API is alive and reachable. It serves as a quick connection test before you execute heavier resource-intensive monitoring tools.

Gemini's million-token context window easily digests the massive JSON payloads returned by `get_node_stats`. The agent reads the entire pipeline tree to trace event rates across every single input and output.

Your node configurations and memory utilization metrics are processed inside isolated, ephemeral execution environments. We enforce strict transport-layer encryption, ensuring your cluster telemetry is never stored or exposed to external parties.

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