How to Use the Better Stack MCP in OpenAI Agents SDK

Q: How do I configure the Better Stack MCP Server inside my OpenAI Agents SDK pipeline?

Install the package and initialize MCPServerStreamableHttp pointing to your Vinkius endpoint. This registers the MCP Server with your pipeline. Pass this server instance inside the mcpservers list when instantiating your agent.

Route alerts and resolve downtime instantly by connecting Better Stack directly to your OpenAI Agents SDK production workflows.

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Connect Better Stack MCP to OpenAI Agents SDK

Create your Vinkius account to connect Better Stack 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 Better Stack with OpenAI Agents SDK

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Automate Incident Triage in OpenAI Agents SDK

The `list_incidents` tool lets your OpenAI Agents SDK deployment fetch active downtime alerts directly from your Better Stack dashboard. If a critical system drops, your agent grabs the exact timeline payload with `get_incident` to understand what failed. You set up guardrails in your Python code to verify the incident severity before the agent takes action. This prevents autonomous agents from making bad calls on production systems during high-pressure outages.

On-Call Routing and Live Acknowledgment

The `list_on_call` tool exposes your active Better Stack routing calendars directly to your specialized OpenAI agents. When a critical alert fires, the system checks who is active and fires off an immediate update. Your agent uses `acknowledge_incident` to halt active paging once a team member responds. If the agent resolves the underlying infrastructure issue itself, it calls `resolve_incident` to close the loop.

Real-Time Heartbeat and Monitor Auditing

The `list_monitors` tool pulls your entire array of active Better Uptime checks into the OpenAI environment. Your agent inspects specific endpoints using `get_monitor` to verify response times and SSL status. For passive cron jobs, the agent queries `list_heartbeats` and `get_heartbeat` to catch silent background failures. This ensures your background worker checks run consistently without manual oversight.

Setup guide

Set up Better Stack 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 Better Stack tools at runtime.
3

Create your Agent

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

Run the agent

Call Runner.run(agent, prompt) to execute. The agent invokes the appropriate Better Stack 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="Better Stack Agent",
            instructions="You have access to Better Stack 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 Better Stack MCP in OpenAI Agents SDK

Install the package and initialize `MCPServerStreamableHttp` pointing to your Vinkius endpoint. This registers the MCP Server with your pipeline. Pass this server instance inside the `mcp_servers` list when instantiating your agent.

Yes, you control this by configuring specialized agents with restricted tool access in your Python code. You can expose read-only tools like `list_monitors` to a triage agent while reserving `resolve_incident` for a senior engineer agent.

The SDK handles API calls sequentially through the MCP Server interface. If your agent executes `list_incidents` repeatedly, Vinkius manages the connection pooling to prevent API token exhaustion.

Yes, the SDK automatically inspects the MCP Server schema at runtime. Your agents instantly discover and use tools like `list_status_pages` without manual Python function mapping.

Your Better Stack API credentials reside securely within the Vinkius vault, never reaching the OpenAI Agents SDK client directly. The agent only receives the raw JSON payloads from tools like `get_incident` over encrypted HTTPS connections.

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