How to Use the HyperDX (Open Source Observability) MCP in Google ADK

Q: Can I filter logs when using Google ADK?

Absolutely. Pass your filter parameters directly to listlogs to narrow down the noise. The server returns the specific events you need to troubleshoot.

Q: Does HyperDX (Open Source Observability) provide dashboard data?

Yes. Use listdashboards to find the correct ID, then getdashboard to pull the detailed view into your agent.

Q: How do I restrict exposed tools in my agent?

Use the toolnames filter during initialization. This lets you limit the agent to only the specific tools you want it to access.

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Connect HyperDX (Open Source Observability) MCP to Google ADK

Create your Vinkius account to connect HyperDX (Open Source Observability) 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 HyperDX (Open Source Observability) with Google ADK

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Log filtering for Google ADK agents

Your agent queries `list_logs` to extract relevant traces during an incident. It filters by service or severity level automatically. This gives your Google ADK agent the raw data it needs to identify root causes faster than manual inspection ever could.

Manage your alert rules via this MCP Server

Your agent can now programmatically maintain your monitoring health. It uses `list_alerts` to identify noise and `delete_alert` to remove redundant triggers. This keeps your alert volume manageable without requiring constant human intervention.

Access dashboard telemetry directly

Connect your agent to your performance data. The `get_dashboard` tool brings specific metric views into your agent's reasoning process. This allows your Google ADK agent to reason about system status using current, live telemetry from your dashboards.

Setup guide

Set up HyperDX (Open Source Observability) 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 HyperDX (Open Source Observability) 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="HyperDX (Open Source Observability)_agent",
    model="gemini-2.0-flash",
    instruction="You have access to HyperDX (Open Source Observability) tools via MCP.",
    tools=mcp_tools,
)

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Common questions about HyperDX (Open Source Observability) MCP in Google ADK

You add the server to your toolset, and the agent gains direct access to your logs and alerts. It uses standard tool calls to interact with your data.

Absolutely. Pass your filter parameters directly to `list_logs` to narrow down the noise. The server returns the specific events you need to troubleshoot.

Yes. Use `list_dashboards` to find the correct ID, then `get_dashboard` to pull the detailed view into your agent.

Use the tool_names filter during initialization. This lets you limit the agent to only the specific tools you want it to access.

Your log data remains in your HyperDX instance. The agent only reads the records returned by your specific queries during execution.

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