How to Use the Dotcom-Monitor MCP in OpenAI Agents SDK

Q: How do I configure Dotcom-Monitor inside my OpenAI Agents SDK project?

Install the package using pip install openai-agents and initialize the MCP Server stream using MCPServerStreamableHttp. Pass this instance into your Agent constructor using the mcpservers parameter to expose the monitoring tools.

Q: Can I cache the Dotcom-Monitor tools to improve OpenAI Agents SDK execution speed?

Yes, set cacheToolsList=True during your server setup. This prevents your agent from repeating discovery requests for tools like listmonitoringdevices on every execution loop.

Q: How does the OpenAI Agents SDK handle failed Dotcom-Monitor tool calls?

The SDK catches API errors from tools like getdevicemonitoringhistory and feeds the raw error back to your agent. Your agent can then read the failure state and decide whether to retry or hand off the task.

Q: Does this setup allow my agent to modify my active alert groups?

No, this MCP Server only exposes read operations like listalertgroups. Your agent can inspect your configurations but cannot change your notification settings or delete active devices.

Feed live website performance data directly into your OpenAI Agents SDK pipelines to trigger automated incident triaging.

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Connect Dotcom-Monitor MCP to OpenAI Agents SDK

Create your Vinkius account to connect Dotcom-Monitor 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 Dotcom-Monitor with OpenAI Agents SDK

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Automate Incident Triaging with OpenAI Agents SDK

Your agent uses `get_device_monitoring_history` to pull historical uptime data the moment a service goes dark. By connecting this MCP Server directly to your OpenAI runtime, your agent instantly matches telemetry anomalies against known baselines without manual developer intervention. You can construct specialized agents that hand off tasks when thresholds breach. For instance, a triage agent checks `list_monitoring_devices` and passes the context to an on-call agent to dispatch alerts to the right team.

Map Global Network Performance Automatically

This MCP integration exposes `list_monitoring_locations` to your OpenAI agent, allowing it to pinpoint regional service outages. The agent queries distinct geographic nodes to isolate localized CDN failures from total infrastructure collapses. By configuring `get_device_details` inside your agentic flow, the system reads specific device metadata on the fly. You run these diagnostic loops safely because the OpenAI dashboard gives you complete execution traces of every tool call.

Keep Alert Routing Up to Date

Stop hardcoding alert groups in your deployment scripts. Your OpenAI agent runs `list_alert_groups` to fetch active distribution lists directly from your monitoring environment, keeping your notification workflows synchronized. The agent identifies which teams are assigned to active issues by parsing live configuration states. Running `list_available_platforms` ensures your agent knows exactly which monitoring channels are active before attempting any diagnostic actions.

Setup guide

Set up Dotcom-Monitor 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 Dotcom-Monitor tools at runtime.
3

Create your Agent

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

Run the agent

Call Runner.run(agent, prompt) to execute. The agent invokes the appropriate Dotcom-Monitor 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="Dotcom-Monitor Agent",
            instructions="You have access to Dotcom-Monitor tools.",
            mcp_servers=[server],
        )
        result = await Runner.run(agent, "List recent transactions")
        print(result.final_output)

asyncio.run(main())

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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 Dotcom-Monitor. 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 Dotcom-Monitor MCP in OpenAI Agents SDK

Install the package using `pip install openai-agents` and initialize the MCP Server stream using `MCPServerStreamableHttp`. Pass this instance into your Agent constructor using the `mcp_servers` parameter to expose the monitoring tools.

Yes, set `cacheToolsList=True` during your server setup. This prevents your agent from repeating discovery requests for tools like `list_monitoring_devices` on every execution loop.

The SDK catches API errors from tools like `get_device_monitoring_history` and feeds the raw error back to your agent. Your agent can then read the failure state and decide whether to retry or hand off the task.

No, this MCP Server only exposes read operations like `list_alert_groups`. Your agent can inspect your configurations but cannot change your notification settings or delete active devices.

This server only handles your website uptime metrics and device configuration metadata. Vinkius runs the server inside an isolated, zero-trust sandbox, so your monitoring API keys are never exposed to the public internet or stored in plain text.

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