How to Use the HyperDX (Open Source Observability) MCP in OpenAI Agents SDK

Q: How do I search logs using HyperDX (Open Source Observability) in OpenAI Agents SDK?

You simply pass your search criteria to the listlogs tool. The agent handles the filtering and presents the structured logs directly in your terminal.

Q: Can OpenAI Agents SDK manage alert rules automatically?

Yes. You can use createalert and deletealert to adjust your monitoring setup. Always define clear validation steps in your agent logic to prevent unwanted changes.

Q: Does HyperDX (Open Source Observability) support real-time dashboard inspection?

It does. Use getdashboard to pull current metric snapshots into your agent's context. This lets you monitor system health without manual dashboard navigation.

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Connect HyperDX (Open Source Observability) MCP to OpenAI Agents SDK

Create your Vinkius account to connect HyperDX (Open Source Observability) to OpenAI Agents SDK 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 OpenAI Agents SDK

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Full-stack log analysis for OpenAI Agents SDK

Stop digging through raw files. Your agent uses `list_logs` to isolate errors across your services instantly. It parses structured output directly into your agent's context window, allowing you to correlate events without leaving your development environment.

Automated alert management with this MCP Server

Keep your production monitors clean. Your agent uses `list_alerts` to audit current thresholds and `delete_alert` to prune stale rules. This ensures your monitoring stays relevant while your agent handles the heavy lifting of routine maintenance.

Real-time telemetry inspection

Get immediate visibility into your system performance. The agent calls `list_dashboards` and `get_dashboard` to pull specific metrics into your workflow. By pulling live data into your agent's memory, you turn static numbers into actionable incident summaries.

Setup guide

Set up HyperDX (Open Source Observability) MCP in OpenAI Agents SDK

Prerequisites

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

1

Install the SDK

Run pip install openai-agents to install the OpenAI Agents SDK. The MCP integration is built-in — no extra dependencies needed.
2

Connect via SSE transport

Use MCPServerSse with your Vinkius endpoint URL. Replace [YOUR_TOKEN_HERE] with your token from cloud.vinkius.com. The SDK auto-discovers all HyperDX (Open Source Observability) tools at runtime.
3

Create your Agent

Pass the MCP to Agent(mcp_servers=[server]). The agent receives HyperDX (Open Source Observability) tools as native definitions — JSON schemas resolve automatically.
4

Run the agent

Call Runner.run(agent, prompt) to execute. The agent invokes the appropriate HyperDX (Open Source Observability) tools and returns structured results. Copy the full example on the right to get started.

agent.py

import asyncio
from agents import Agent, Runner
from agents.mcp import MCPServerSse

async def main():
    async with MCPServerSse(
        url="https://edge.vinkius.com/[YOUR_TOKEN_HERE]/mcp"
    ) as server:
        agent = Agent(
            name="HyperDX (Open Source Observability) Agent",
            instructions="You have access to HyperDX (Open Source Observability) tools.",
            mcp_servers=[server],
        )
        result = await Runner.run(agent, "List recent transactions")
        print(result.final_output)

asyncio.run(main())

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Common questions about HyperDX (Open Source Observability) MCP in OpenAI Agents SDK

You simply pass your search criteria to the `list_logs` tool. The agent handles the filtering and presents the structured logs directly in your terminal.

Yes. You can use `create_alert` and `delete_alert` to adjust your monitoring setup. Always define clear validation steps in your agent logic to prevent unwanted changes.

It does. Use `get_dashboard` to pull current metric snapshots into your agent's context. This lets you monitor system health without manual dashboard navigation.

Yes. The SDK detects all available tools upon initialization. You just need to pass the server connection as an argument to your agent.

The server only touches your log and dashboard metadata via authenticated API calls. It keeps your raw infrastructure data isolated within your existing HyperDX account.

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